Tenure Track Assistant Professor/Instructor of Computer Science

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.