The Bard College Computational Science program invites applications for two tenure-track Assistant Professor positions, to begin Fall 2024. A Ph.D. in computer science or a related field is required. Successful candidates will be committed to innovative undergraduate teaching at a liberal arts college with a diverse student body; maintaining an active research program; contributing to the general education curriculum; and engaging with the life of the college.
We seek candidates who can contribute to the teaching and ongoing curricular development in our Computer Science major. Candidate scholarly pursuits should complement the current faculty specializations in computational biology, computer science education, artificial intelligence, natural language, spoken human/computer interfaces, human-robot interaction, data science, and algebraic and symbolic computation. Candidates should also be excited about interdisciplinary connections and interested in contributing to existing interdisciplinary activities on campus and helping to establish new ones. The Computational Science program offers a B.A. in computer science, leads the new program in Data Analytics, and contributes to several programs including Experimental Humanities and Mind, Brain, Behavior.
To apply, send a cover letter, curriculum vitae, and teaching and research statements which include discussion of working with a diverse student population. Please provide three letters of recommendation (at least one addressing teaching) through Interfolio by following this link: http://apply.interfolio.com/139613
Equal Employment Opportunity Statement
Bard College is an equal opportunity employer and we welcome applications from those who contribute to our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, mental, or physical disability, age, sexual orientation, gender identity, national origin, familial status, veteran status, or genetic information.
Bard is committed to providing access, equal opportunity, and reasonable accommodation for all individuals in employment practices, services, programs, and activities.