University of California, Berkeley
Berkeley, CA, USA
Lecturer - Data Science - School of Information
Position overview Position title: Lecturer Salary range: The starting, full-time equivalent annual salary rate is currently $130,851. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $7,415 per section at 17% FTE over each academic term, as of Spring 2024. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2023-24-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15-f.pdf. A reasonable estimate for this position is $130,851-$138,819.
Percent time: Percent time 10% to 100% time
Anticipated start: Positions typically start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window Open date: February 20, 2024
Next review date: Wednesday, Mar 6, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, Feb 19, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach online courses in Data Science. We are seeking outstanding instructors who can teach small sections in our web-based Master's in Information and Data Science program. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.
Due to budget restrictions, no funding is available for visa or relocation expenses. Applicants must be located in the United States to be eligible for this position.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master's degrees and an academic doctoral degree. Candidates selected for our Data Science Lecturer position typically teach classes that primarily enroll graduate students in our online MIDS program, which trains data scientists to use the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems. Successful instructors in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information and data science.
Responsibilities
Teaching responsibilities include planning and leading online classes that focus on active learning: discussions, group activities, examples, and walkthroughs relevant to concepts covered in existing asynchronous materials associated with the course.
In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students on online course tools, prepare course materials (e.g., syllabus, assessment materials), provide clear and prompt feedback on student work, and maintain the course website. Lecturers are also expected to attend bi-weekly course team meetings with other instructors of the course, and are encouraged to attend monthly faculty meetings.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the school is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas. We require that applicants submit a statement addressing past and/or potential contributions.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
Program: http://datascience.berkeley.edu
Qualifications Basic qualifications (required at time of application) A bachelor's degree (or equivalent international degree).
Additional qualifications (required at time of start) Five years experience teaching college-level courses as instructor of record.
Preferred qualifications An advanced degree in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Professional experience in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Demonstrated excellence in teaching college-level courses.
Experience teaching college-level courses online.
Teaching experience in at least one of the following core areas:
• Introductory Programming • Research Design and Data Analysis • Applied Statistics • Data Engineering, Storage, and Retrieval • Visualizing and Communicating Data • Applied Machine Learning • Privacy, Security, and Ethics of Data • Experiments and Causal Inference • Very Large Scale Data Mining and Analysis • Applied Regression and Time Series Analysis • Deep Learning • Computer Vision • Natural Language Processing • Edge and Cloud Computing • Capstone • Generative AI
Preferred qualifications include:
Ability to enrich course content within defined curriculum goals and objectives.
Demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Teaching Evaluations, if available (Optional)
Reference requirements
• 3 required (contact information only)
Apply link: https://apptrkr.com/5039995
Help contact: mailto:alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA, or remote (US-based).
To apply, visit https://apptrkr.com/5039995
Full Time
Lecturer - Data Science - School of Information
Position overview Position title: Lecturer Salary range: The starting, full-time equivalent annual salary rate is currently $130,851. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $7,415 per section at 17% FTE over each academic term, as of Spring 2024. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2023-24-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15-f.pdf. A reasonable estimate for this position is $130,851-$138,819.
Percent time: Percent time 10% to 100% time
Anticipated start: Positions typically start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window Open date: February 20, 2024
Next review date: Wednesday, Mar 6, 2024 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Wednesday, Feb 19, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach online courses in Data Science. We are seeking outstanding instructors who can teach small sections in our web-based Master's in Information and Data Science program. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.
Due to budget restrictions, no funding is available for visa or relocation expenses. Applicants must be located in the United States to be eligible for this position.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master's degrees and an academic doctoral degree. Candidates selected for our Data Science Lecturer position typically teach classes that primarily enroll graduate students in our online MIDS program, which trains data scientists to use the latest tools and analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems. Successful instructors in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information and data science.
Responsibilities
Teaching responsibilities include planning and leading online classes that focus on active learning: discussions, group activities, examples, and walkthroughs relevant to concepts covered in existing asynchronous materials associated with the course.
In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students on online course tools, prepare course materials (e.g., syllabus, assessment materials), provide clear and prompt feedback on student work, and maintain the course website. Lecturers are also expected to attend bi-weekly course team meetings with other instructors of the course, and are encouraged to attend monthly faculty meetings.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the school is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas. We require that applicants submit a statement addressing past and/or potential contributions.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
Program: http://datascience.berkeley.edu
Qualifications Basic qualifications (required at time of application) A bachelor's degree (or equivalent international degree).
Additional qualifications (required at time of start) Five years experience teaching college-level courses as instructor of record.
Preferred qualifications An advanced degree in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Professional experience in a field such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Demonstrated excellence in teaching college-level courses.
Experience teaching college-level courses online.
Teaching experience in at least one of the following core areas:
• Introductory Programming • Research Design and Data Analysis • Applied Statistics • Data Engineering, Storage, and Retrieval • Visualizing and Communicating Data • Applied Machine Learning • Privacy, Security, and Ethics of Data • Experiments and Causal Inference • Very Large Scale Data Mining and Analysis • Applied Regression and Time Series Analysis • Deep Learning • Computer Vision • Natural Language Processing • Edge and Cloud Computing • Capstone • Generative AI
Preferred qualifications include:
Ability to enrich course content within defined curriculum goals and objectives.
Demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Teaching Evaluations, if available (Optional)
Reference requirements
• 3 required (contact information only)
Apply link: https://apptrkr.com/5039995
Help contact: mailto:alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA, or remote (US-based).
To apply, visit https://apptrkr.com/5039995
University of California, Berkeley
Berkeley, CA, USA
Lecturer - Information Management - School of Information
Position overview Position title: Lecturer Salary range: The starting, full-time equivalent annual salary rate ranges from $74,576 - $119,672 , depending on experience. Appointments are typically made at 25% time for 2-unit courses, 33% time for 3-unit courses, and 42% time for 4-unit courses, for a period of 5 months. Salary rates increase in subsequent terms in accordance with the terms of the labor contract. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2023-24-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position [https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15.pdf].
Percent time: Percent time 17% to 100% time
Anticipated start: Positions typically start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with possibility for renewal.
Application Window Open date: February 1, 2024
Most recent review date: Thursday, Feb 15, 2024 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jan 31, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in Information Management and Systems. We are seeking outstanding instructors who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.
Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require. Due to budget restrictions, no funding is available for visa or relocation expenses.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master's degrees and an academic doctoral degree. Candidates selected for our Information Management Lecturer position typically teach classes that primarily enroll graduate students from our MIMS program, which trains students for careers as information professionals and emphasizes small classes and project-based learning, and our Ph.D. program, which equips scholars to develop solutions and shape policies that influence how people seek, use, and share information.
Successful Lecturers in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information management and systems.
Responsibilities
General duties include: teaching (delivering lectures, facilitating class discussions, and otherwise conducting instruction), holding office hours, assigning grades, preparing course materials (e.g., syllabus, assignments), providing clear and prompt feedback on student work, and maintaining the course website.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the school is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
Program: http://ischool.berkeley.edu/courses/info
Qualifications Basic qualifications (required at time of application) A bachelor's degree (or equivalent international degree).
Preferred qualifications An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.
Professional experience in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.
Experience teaching college-level courses.
Teaching experience in at least one of the following core areas:
• Human-Computer Interaction • User Experience Design • Data Analysis and Visualization • Information Policy • Ethical Technology • Product Management • Computer Science • Information Management • International Economics and Policy • Information Policy and Ethical Technology • Social and Technical Innovation in Entrepreneurship • Information Visualization • Natural Language Processing • Machine Learning • Data Engineering and Analysis • Other Areas of Information Science and Systems
A record of superior academic or professional performance.
The ability to be self-directed with broadly-defined parameters for assignment.
Excellent communication skills, both oral and written.
Demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment.
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Teaching Evaluations, if available (Optional)
Reference requirements
• 3 required (contact information only)
Apply link: https://apptrkr.com/5008242
Help contact: mailto:alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA
To apply, visit https://apptrkr.com/5008242
Full Time
Lecturer - Information Management - School of Information
Position overview Position title: Lecturer Salary range: The starting, full-time equivalent annual salary rate ranges from $74,576 - $119,672 , depending on experience. Appointments are typically made at 25% time for 2-unit courses, 33% time for 3-unit courses, and 42% time for 4-unit courses, for a period of 5 months. Salary rates increase in subsequent terms in accordance with the terms of the labor contract. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2023-24-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position [https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15.pdf].
Percent time: Percent time 17% to 100% time
Anticipated start: Positions typically start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with possibility for renewal.
Application Window Open date: February 1, 2024
Most recent review date: Thursday, Feb 15, 2024 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jan 31, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach on-campus courses in Information Management and Systems. We are seeking outstanding instructors who can teach courses for I School doctoral and master's level students and other UC Berkeley graduate students in related fields, as well as undergraduate courses. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.
Applicants will be selected from this pool for the academic year (including summer sessions), when there is curricular need. Positions typically start at the beginning of the semester, and appointments may be renewable based on need, funding, and performance. This is a primarily in-person role that typically requires physical presence on the UC Berkeley campus, although alternative modalities may be authorized for instruction when conditions require. Due to budget restrictions, no funding is available for visa or relocation expenses.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master's degrees and an academic doctoral degree. Candidates selected for our Information Management Lecturer position typically teach classes that primarily enroll graduate students from our MIMS program, which trains students for careers as information professionals and emphasizes small classes and project-based learning, and our Ph.D. program, which equips scholars to develop solutions and shape policies that influence how people seek, use, and share information.
Successful Lecturers in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information management and systems.
Responsibilities
General duties include: teaching (delivering lectures, facilitating class discussions, and otherwise conducting instruction), holding office hours, assigning grades, preparing course materials (e.g., syllabus, assignments), providing clear and prompt feedback on student work, and maintaining the course website.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the school is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The School of Information is interested in candidates who will contribute to diversity and equal opportunity in higher education through their teaching or other related areas.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
Program: http://ischool.berkeley.edu/courses/info
Qualifications Basic qualifications (required at time of application) A bachelor's degree (or equivalent international degree).
Preferred qualifications An advanced degree in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.
Professional experience in a field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, Human-Computer Interaction, or Design.
Experience teaching college-level courses.
Teaching experience in at least one of the following core areas:
• Human-Computer Interaction • User Experience Design • Data Analysis and Visualization • Information Policy • Ethical Technology • Product Management • Computer Science • Information Management • International Economics and Policy • Information Policy and Ethical Technology • Social and Technical Innovation in Entrepreneurship • Information Visualization • Natural Language Processing • Machine Learning • Data Engineering and Analysis • Other Areas of Information Science and Systems
A record of superior academic or professional performance.
The ability to be self-directed with broadly-defined parameters for assignment.
Excellent communication skills, both oral and written.
Demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment.
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Teaching Evaluations, if available (Optional)
Reference requirements
• 3 required (contact information only)
Apply link: https://apptrkr.com/5008242
Help contact: mailto:alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA
To apply, visit https://apptrkr.com/5008242
University of California, Berkeley
Berkeley, CA, USA
Lecturer - Information and Cybersecurity - School of Information
Position overview Position title: Lecturer Salary range: The starting, full-time equivalent annual salary rate is currently $130,851. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $7,415 per section over each academic term, as of Spring 2024. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2023-24-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15-f.pdf. A reasonable estimate for this position is $130,851-$138,819.
Percent time: Percent time 10% to 100% time
Anticipated start: Positions usually start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window Open date: February 1, 2024
Most recent review date: Thursday, Feb 15, 2024 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jan 31, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach online courses in Information and Cybersecurity. We are seeking outstanding instructors who can teach small sections in our web-based Master's of Information and Cybersecurity program. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.
Due to budget restrictions, no funding is available for visa or relocation expenses. Applicants must be located in the United States to be eligible for this position.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master's degrees and an academic doctoral degree. Our MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. Successful instructors in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information and cybersecurity.
Responsibilities:
Teaching responsibilities include planning and leading online classes that focus on active learning: discussions, group activities, examples, and walkthroughs relevant to concepts covered in existing asynchronous materials associated with the course.
In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students using online course tools and email, prepare course materials (e.g., syllabus, assessment materials), provide clear and prompt feedback on student work, and maintain the course website.
Lecturers are also expected to attend bi-weekly course team meetings with other instructors of the course, and are encouraged to attend monthly faculty meetings.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the School is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The School of Information is particularly interested in candidates who will contribute to racial and gender diversity and equity in higher education through their teaching or other related areas. We require that applicants submit a statement addressing past and/or potential contributions.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
Program: http://cybersecurity.berkeley.edu
Qualifications Basic qualifications (required at time of application) A bachelor's degree (or equivalent international degree).
Preferred qualifications An advanced degree in a field such as Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Professional experience in a field such as Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Experience teaching college-level courses online.
Professional and teaching experience in at least one of the following core areas (please see course descriptions online and discuss relevant expertise in your cover letter):
• Cybersecurity Legal, Political, and Economic Context • Cryptography • Software Security • Secure Programming • Network Security • Usable Privacy and Security • Managing Cyber Risk • Privacy Engineering • Operating System Security • Applied Machine Learning for Cybersecurity • Cybersecurity and Public Policy • Security Operations • Programming Fundamentals for Cybersecurity • Public Interest Cybersecurity Practicum • Web Application Security Assessment • Capstone
Preferred qualifications include:
Ability to enrich course content within defined curriculum goals and objectives.
A demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment.
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Teaching Evaluations, if available (Optional)
Reference requirements
• 3 required (contact information only)
Apply link: https://apptrkr.com/5008263
Help contact: mailto:alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA, or remote (US-based).
To apply, visit https://apptrkr.com/5008263
Full Time
Lecturer - Information and Cybersecurity - School of Information
Position overview Position title: Lecturer Salary range: The starting, full-time equivalent annual salary rate is currently $130,851. Appointments are typically from one to three sections per term for up to three terms per year, resulting in the total compensation of approximately $7,415 per section over each academic term, as of Spring 2024. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract. The posted UC academic salary scales (https://www.ucop.edu/academic-personnel-programs/compensation/2023-24-academic-salary-scales.html) set the minimum pay determined by rank and/or step at appointment. See the following table for the salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/july-2023-acad-salary-scales/t15-f.pdf. A reasonable estimate for this position is $130,851-$138,819.
Percent time: Percent time 10% to 100% time
Anticipated start: Positions usually start in January, May, and August.
Review timeline: Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration: Initial position duration is for up to one year, with possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window Open date: February 1, 2024
Most recent review date: Thursday, Feb 15, 2024 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Jan 31, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley seeks applications for a pool of part-time, non-tenure track lecturers to teach online courses in Information and Cybersecurity. We are seeking outstanding instructors who can teach small sections in our web-based Master's of Information and Cybersecurity program. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the School.
Due to budget restrictions, no funding is available for visa or relocation expenses. Applicants must be located in the United States to be eligible for this position.
About The I School
The UC Berkeley School of Information (I School) advances knowledge and practice everywhere humans interact with digital technologies. Through interdisciplinary research and teaching, we are committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields, such as information and computer science, design, social sciences, management, law, and policy. The I School educates professionals and scholars to understand the problems and possibilities of information, to develop models of information practice, and to design useful and usable information applications, services, and solutions.
The I School offers three professional master's degrees and an academic doctoral degree. Our MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. Successful instructors in our program are dynamic, enthusiastic information scholars and professionals who encourage both real-world applications and deeper theoretical discussions of contemporary and historical issues in information and cybersecurity.
Responsibilities:
Teaching responsibilities include planning and leading online classes that focus on active learning: discussions, group activities, examples, and walkthroughs relevant to concepts covered in existing asynchronous materials associated with the course.
In addition to teaching responsibilities, general duties include: hold office hours, assign grades, advise students using online course tools and email, prepare course materials (e.g., syllabus, assessment materials), provide clear and prompt feedback on student work, and maintain the course website.
Lecturers are also expected to attend bi-weekly course team meetings with other instructors of the course, and are encouraged to attend monthly faculty meetings.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the School is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
The School of Information is particularly interested in candidates who will contribute to racial and gender diversity and equity in higher education through their teaching or other related areas. We require that applicants submit a statement addressing past and/or potential contributions.
UC Berkeley has an excellent benefits package available for lecturers who meet minimum workload and appointment hours requirements. There are also a number of policies and programs to support all employees as they balance work and family.
Program: http://cybersecurity.berkeley.edu
Qualifications Basic qualifications (required at time of application) A bachelor's degree (or equivalent international degree).
Preferred qualifications An advanced degree in a field such as Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Professional experience in a field such as Cybersecurity, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics.
Experience teaching college-level courses online.
Professional and teaching experience in at least one of the following core areas (please see course descriptions online and discuss relevant expertise in your cover letter):
• Cybersecurity Legal, Political, and Economic Context • Cryptography • Software Security • Secure Programming • Network Security • Usable Privacy and Security • Managing Cyber Risk • Privacy Engineering • Operating System Security • Applied Machine Learning for Cybersecurity • Cybersecurity and Public Policy • Security Operations • Programming Fundamentals for Cybersecurity • Public Interest Cybersecurity Practicum • Web Application Security Assessment • Capstone
Preferred qualifications include:
Ability to enrich course content within defined curriculum goals and objectives.
A demonstrated ability to support the academic, professional, and personal development of a diverse community of individuals in a highly multidisciplinary environment.
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter
• Statement of Teaching Interests/Experience/Approach - Please indicate which class(es) you believe you are qualified to teach.
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Teaching Evaluations, if available (Optional)
Reference requirements
• 3 required (contact information only)
Apply link: https://apptrkr.com/5008263
Help contact: mailto:alhintz@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA, or remote (US-based).
To apply, visit https://apptrkr.com/5008263
Franklin & Marshall College invites applications for a tenure-track position in the Department of Computer Science beginning August 2024. The rank will be Assistant Professor or Instructor depending on qualifications. Applicants should possess or be close to completing a doctorate degree in Computer Science, Data Science, or a related field. We seek candidates able to teach a variety of courses in an undergraduate computer science curriculum as well as select courses related to data science. In addition to the primary role of teaching, faculty at F&M are expected to maintain an active research program that engages undergraduates, contributes to the College’s shared governance, and guides future curriculum development.
Candidates must submit the following items electronically via Interfolio at http://apply.interfolio.com/131030: a cover letter; curriculum vitae; graduate transcript(s) (unofficial copies are fine); a holistic statement on inclusive excellence in teaching and student success; a research statement; teaching evaluations and/or observations (if available); and one list of three reference names (NOTE: letters of reference will be solicited at a later stage, and once they are solicited referees will need to supply them within two weeks). For full consideration, applications should be received by October 31st, although the position will remain open until filled.
Pursuant to cultivating an inclusive college community, the search committee will holistically assess the qualifications of each applicant. We will consider an individual’s record working with students and colleagues with diverse perspectives, experiences, and backgrounds. We will also consider experience overcoming or helping others overcome barriers to academic success.
Candidates will be primarily evaluated on a variety of criteria including evidence of teaching experience or interest, the candidate’s ability to teach existing courses in computer science, and their ability to develop and teach courses related to research that addresses and expands curricular needs in computer science and data science. Candidates should show a positive trajectory of their active research program and articulate how it can be adapted to the F&M environment. Candidates should have strong Computer Science and/or Data Science knowledge and should be able to demonstrate their experience overcoming/helping others overcome barriers to academic success. Finally, candidates should be interested in working with students and colleagues of diverse perspectives, experiences, and backgrounds with a strong interest in liberal arts education. Franklin & Marshall College is a small, highly selective liberal arts college located in Lancaster, Pennsylvania, a vibrant town about 80 miles from both Philadelphia and Baltimore. The College is a nationally recognized pioneer in recruiting and supporting high-achieving students from underserved communities. The faculty in our collegial and supportive department have the autonomy to shape courses and to innovate with modes of instruction. For more information about the College, see our website at www.fandm.edu .
Franklin & Marshall College is committed to having an inclusive campus community where all members are treated with dignity and respect. As an Equal Opportunity Employer, the College does not discriminate in its hiring or employment practices on the basis of gender, sex, race, ethnicity, color, national origin, religion, age, disability, family or marital status, sexual orientation, or any protected characteristic. Individuals who need accommodation due to a disability in order to submit an application or to otherwise participate in the employment process should contact the department’s academic coordinator, Kelly Smith (kelly.smith@fandm.edu).
Franklin & Marshall College is committed to providing a safe and productive learning, living, and working community. To assist in achieving this goal, we conduct background investigations for all prospective applicants being considered for employment.
Full Time
Franklin & Marshall College invites applications for a tenure-track position in the Department of Computer Science beginning August 2024. The rank will be Assistant Professor or Instructor depending on qualifications. Applicants should possess or be close to completing a doctorate degree in Computer Science, Data Science, or a related field. We seek candidates able to teach a variety of courses in an undergraduate computer science curriculum as well as select courses related to data science. In addition to the primary role of teaching, faculty at F&M are expected to maintain an active research program that engages undergraduates, contributes to the College’s shared governance, and guides future curriculum development.
Candidates must submit the following items electronically via Interfolio at http://apply.interfolio.com/131030: a cover letter; curriculum vitae; graduate transcript(s) (unofficial copies are fine); a holistic statement on inclusive excellence in teaching and student success; a research statement; teaching evaluations and/or observations (if available); and one list of three reference names (NOTE: letters of reference will be solicited at a later stage, and once they are solicited referees will need to supply them within two weeks). For full consideration, applications should be received by October 31st, although the position will remain open until filled.
Pursuant to cultivating an inclusive college community, the search committee will holistically assess the qualifications of each applicant. We will consider an individual’s record working with students and colleagues with diverse perspectives, experiences, and backgrounds. We will also consider experience overcoming or helping others overcome barriers to academic success.
Candidates will be primarily evaluated on a variety of criteria including evidence of teaching experience or interest, the candidate’s ability to teach existing courses in computer science, and their ability to develop and teach courses related to research that addresses and expands curricular needs in computer science and data science. Candidates should show a positive trajectory of their active research program and articulate how it can be adapted to the F&M environment. Candidates should have strong Computer Science and/or Data Science knowledge and should be able to demonstrate their experience overcoming/helping others overcome barriers to academic success. Finally, candidates should be interested in working with students and colleagues of diverse perspectives, experiences, and backgrounds with a strong interest in liberal arts education. Franklin & Marshall College is a small, highly selective liberal arts college located in Lancaster, Pennsylvania, a vibrant town about 80 miles from both Philadelphia and Baltimore. The College is a nationally recognized pioneer in recruiting and supporting high-achieving students from underserved communities. The faculty in our collegial and supportive department have the autonomy to shape courses and to innovate with modes of instruction. For more information about the College, see our website at www.fandm.edu .
Franklin & Marshall College is committed to having an inclusive campus community where all members are treated with dignity and respect. As an Equal Opportunity Employer, the College does not discriminate in its hiring or employment practices on the basis of gender, sex, race, ethnicity, color, national origin, religion, age, disability, family or marital status, sexual orientation, or any protected characteristic. Individuals who need accommodation due to a disability in order to submit an application or to otherwise participate in the employment process should contact the department’s academic coordinator, Kelly Smith (kelly.smith@fandm.edu).
Franklin & Marshall College is committed to providing a safe and productive learning, living, and working community. To assist in achieving this goal, we conduct background investigations for all prospective applicants being considered for employment.
University of California, Berkeley
Berkeley, CA, USA
Assistant Professor - Technology Policy, Governance, and Society - School of Information - Goldman School of Public Policy
Position overview Position title: Assistant Professor Salary range: The posted UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t1.pdf. The current base salary range for this position is $74,600-$97,200. "Off-scale salaries" and other components of pay, which would yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Anticipated start: July 1, 2024
Review timeline: September 25, 2023 - October 30, 2023
Application Window Open date: August 16, 2023
Next review date: Monday, Sep 25, 2023 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Monday, Sep 25, 2023 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Goldman School of Public Policy and the School of Information at the University of California, Berkeley, invite applications for a joint tenure-track appointment to the faculty at the Assistant Professor rank.
We seek applications from intellectually rigorous and exciting scholars who have already completed their degree requirements, with preference for those who are currently serving in industry, post-doc positions, or at the assistant professor rank. Ideal candidates will have research foci in one or more broad areas at the intersection of technology and policy - including digital democracy, privacy and security, and data science from a policy analysis perspective - and who can teach innovative courses on these topics to graduate students in both Public Policy and Information Schools. We seek applicants with expertise in technology combined with an explicit policy domain including, but not limited to: policies and regulation for AI/automation; racial-ethnic and social justice; public health; climate change and environmental sustainability; election and voting integrity; social media, journalism and information integrity; public administration and agile government; planning, infrastructure, and transportation; and law and technology regulation.
We encourage applications from individuals of any scholarly discipline whose research focuses on these questions. Preference will be given to scholars who have demonstrated the potential to make significant research contributions and who have a clear interest in contributing to both the School of Public Policy and the School of Information.
The Goldman School of Public Policy (GSPP) at the University of California, Berkeley's holds the #1 US News and World Report rankings in Policy Analysis, and in Social Policy, and we are committed proudly to equity and justice for the public good. The School of Information is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields — information and computer science, design, social sciences, management, law, and policy. GSPP and the I School are particularly interested in candidates who will contribute to diversity, inclusive perspectives, collegial respect, and support for underserved student populations through their intellectual voice and actions in research, teaching, and service. This commitment to advancing equity and inclusion is essential for GSPP and the I School, as our excellence can only be fully realized if our entire community shares in the commitment to these values. Additional information about programs and resources supporting the advancement of diversity, equity, inclusion, and belonging is available at: https://ls.berkeley.edu/about/diversity-equity-and-inclusion and at: https://www.ischool.berkeley.edu/about/community
The Goldman School of Public Policy and the School of Information are committed to addressing the family needs of faculty, including dual career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: http://ofew.berkeley.edu/new-faculty
More information about the School of Information: https://www.ischool.berkeley.edu/
School: https://www.ischool.berkeley.edu/
School: https://gspp.berkeley.edu/
Qualifications Basic qualifications (required at time of application) PhD, J.D. or equivalent international degree, or enrolled in PhD, J.D. or equivalent international degree-granting program at the time of application.
Preferred qualifications Preference will be given to scholars who have already demonstrated significant research contributions, who have a clear interest in interdisciplinary scholarship, and who are interested in teaching in both the School of Public Policy and the School of Information. Public-sector experience is also desirable. Candidates will be evaluated on the following criteria:
• Excellence in research, including quality and trajectory; • Teaching and mentoring ability for graduate students; • Fit with the research and teaching desires and needs of the Schools; • Ability and interest in bridging fields and topics in an interdisciplinary manner; • Public/professional sector experience and impact; and • Philosophy, skills, and experiences related to diversity, equity, inclusion, belonging, and justice.
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter - Including statement of fit with the research and teaching needs of both Schools.
• Statement of Research - A short statement of research interests
• Statement of Teaching - A short statement of teaching experience
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Selected Publication 1
• Selected Publication 2
• Selected Publication 3
• Teaching Evaluations (If Available) (Optional)
Reference requirements
• 3-5 letters of reference required
Apply link: https://apptrkr.com/4499960
Help contact: mailto:dean@ischool.berkeley.edu
Campus Information
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA
To apply, visit https://apptrkr.com/4499960
Full Time
Assistant Professor - Technology Policy, Governance, and Society - School of Information - Goldman School of Public Policy
Position overview Position title: Assistant Professor Salary range: The posted UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: https://www.ucop.edu/academic-personnel-programs/_files/2023-24/oct-2023-acad-salary-scales/t1.pdf. The current base salary range for this position is $74,600-$97,200. "Off-scale salaries" and other components of pay, which would yield compensation that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Anticipated start: July 1, 2024
Review timeline: September 25, 2023 - October 30, 2023
Application Window Open date: August 16, 2023
Next review date: Monday, Sep 25, 2023 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Monday, Sep 25, 2023 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Goldman School of Public Policy and the School of Information at the University of California, Berkeley, invite applications for a joint tenure-track appointment to the faculty at the Assistant Professor rank.
We seek applications from intellectually rigorous and exciting scholars who have already completed their degree requirements, with preference for those who are currently serving in industry, post-doc positions, or at the assistant professor rank. Ideal candidates will have research foci in one or more broad areas at the intersection of technology and policy - including digital democracy, privacy and security, and data science from a policy analysis perspective - and who can teach innovative courses on these topics to graduate students in both Public Policy and Information Schools. We seek applicants with expertise in technology combined with an explicit policy domain including, but not limited to: policies and regulation for AI/automation; racial-ethnic and social justice; public health; climate change and environmental sustainability; election and voting integrity; social media, journalism and information integrity; public administration and agile government; planning, infrastructure, and transportation; and law and technology regulation.
We encourage applications from individuals of any scholarly discipline whose research focuses on these questions. Preference will be given to scholars who have demonstrated the potential to make significant research contributions and who have a clear interest in contributing to both the School of Public Policy and the School of Information.
The Goldman School of Public Policy (GSPP) at the University of California, Berkeley's holds the #1 US News and World Report rankings in Policy Analysis, and in Social Policy, and we are committed proudly to equity and justice for the public good. The School of Information is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy. This requires the insights of scholars from diverse fields — information and computer science, design, social sciences, management, law, and policy. GSPP and the I School are particularly interested in candidates who will contribute to diversity, inclusive perspectives, collegial respect, and support for underserved student populations through their intellectual voice and actions in research, teaching, and service. This commitment to advancing equity and inclusion is essential for GSPP and the I School, as our excellence can only be fully realized if our entire community shares in the commitment to these values. Additional information about programs and resources supporting the advancement of diversity, equity, inclusion, and belonging is available at: https://ls.berkeley.edu/about/diversity-equity-and-inclusion and at: https://www.ischool.berkeley.edu/about/community
The Goldman School of Public Policy and the School of Information are committed to addressing the family needs of faculty, including dual career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: http://ofew.berkeley.edu/new-faculty
More information about the School of Information: https://www.ischool.berkeley.edu/
School: https://www.ischool.berkeley.edu/
School: https://gspp.berkeley.edu/
Qualifications Basic qualifications (required at time of application) PhD, J.D. or equivalent international degree, or enrolled in PhD, J.D. or equivalent international degree-granting program at the time of application.
Preferred qualifications Preference will be given to scholars who have already demonstrated significant research contributions, who have a clear interest in interdisciplinary scholarship, and who are interested in teaching in both the School of Public Policy and the School of Information. Public-sector experience is also desirable. Candidates will be evaluated on the following criteria:
• Excellence in research, including quality and trajectory; • Teaching and mentoring ability for graduate students; • Fit with the research and teaching desires and needs of the Schools; • Ability and interest in bridging fields and topics in an interdisciplinary manner; • Public/professional sector experience and impact; and • Philosophy, skills, and experiences related to diversity, equity, inclusion, belonging, and justice.
Application Requirements
Document requirements
• Curriculum Vitae - Your most recently updated C.V.
• Cover Letter - Including statement of fit with the research and teaching needs of both Schools.
• Statement of Research - A short statement of research interests
• Statement of Teaching - A short statement of teaching experience
• Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. /shortcuts/ofew_contributions_diversity.
• Selected Publication 1
• Selected Publication 2
• Selected Publication 3
• Teaching Evaluations (If Available) (Optional)
Reference requirements
• 3-5 letters of reference required
Apply link: https://apptrkr.com/4499960
Help contact: mailto:dean@ischool.berkeley.edu
Campus Information
UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable).
The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the http://apo.berkeley.edu/ucb-confidentiality-policy prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Job location Berkeley, CA
To apply, visit https://apptrkr.com/4499960