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Computer Science, Assistant Professor in Machine Learning, Tenure Track
Loyola University Chicago
Job Description Summary: The Department of Computer Science in the College of Arts and Sciences at Loyola University Chicago (LUC) invites applications for a full-time tenure-track position at the rank of Assistant Professor for academic year 2021-22. The department seeks applicants with expertise in Machine Learning. The successful candidate will be joining a department with 15 full-time faculty members serving 420 undergraduate majors and minors, and 85 masters students in the areas of computer science, cybersecurity, information technology, and software engineering. This search is part of a University-wide, multi-year hiring initiative designed to hire outstanding researchers and teachers who are reflective of our diverse student body and committed to interdisciplinarity (i.e., working with colleagues across different subfields and disciplines) and the pursuit of external grants. Of special interest are candidates who can further the University’s efforts to foster diversity, equity, and inclusion. The preferred candidate for this position will carry out teaching and research broadly concerned with the societal aspects of Machine Learning/Artificial Intelligence and in particular, the issues of justice, accountability, ethics, and safety in Machine Learning applications in healthcare, medicine, business, sociology and other areas. The successful candidate is expected to pursue a strong research program, including the pursuit of external grants. Minimum Qualifications: The candidate will have a Ph.D. in Computer Science or closely related field at the time of appointment with a strong background in Artificial Intelligence/Machine Learning including all relevant technical areas: natural language processing, AI ethics/safety and applications to problems in healthcare, medicine, business, sociology, or criminal justice. Candidates for the position must clearly demonstrate the potential for excellence in research and teaching and have a record of (or potential for) distinguished scholarship, grant-funded research, and student mentorship. The candidate should be willing to support the mission of LUC and the goals of a Jesuit Catholic Education.
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