Computer Science, Assistant Professor in Machine Learning, Tenure Track

Job description

Job Title:

Computer Science, Assistant Professor in Machine Learning, Tenure Track

Position Title:

Computer Science, Assistant Professor in Machine Learning, Tenure Track

Job Category:

University Faculty

Job Type:

Full-Time

FLSA Status:

Exempt

Campus:

Rogers Park-Lake Shore Campus

Location Code:

COMPUTER SCIENCE (02132A)

Department Name:

COMPUTER SCIENCE

Is this split and/or fully grant funded? :

No

Duties and Responsibilities:

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.

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.

Physical Demands:

None

Working Conditions:

None

Minimum Education and/or Work Experience:

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.

Open Date:

11/20/2020

Special Instructions to Applicants:

Candidates should submit to www.careers.luc.edu (1) a brief letter of interest; (2) a current Curriculum Vitae; (3) a statement outlining the applicant’s research agenda, (4) a statement on teaching experience; and (5) a statement addressing past and/or potential contributions to mentoring a diverse student body through research, teaching and other channels and engaging a diverse community through scholarship and service. They also should provide the names and email addresses of three individuals prepared to speak to their professional qualifications for this position. Referees will not be contacted immediately but might be at subsequent points in the review process. For further information about this position, please contact the Computer Science Faculty Search Committee at [email protected] or via regular mail:

Chair of Search Committee
Department of Computer Science
1052 W. Loyola Ave
Loyola University Chicago
Chicago, Illinois 60626

Review of applications will begin on January 2, 2021 and continue until the position is filled.

LUC is an Equal Opportunity/Affirmative Action employer with a strong commitment to hiring for our mission and diversifying our faculty. The University seeks to increase the diversity of its professoriate, workforce and undergraduate and graduate student populations because broad diversity – including a wide range of individuals who contribute to a robust academic environment – is critical to achieving the University’s mission of excellence in education, research, educational access and services in an increasingly diverse society. Therefore, in holistically accessing the many qualifications of each applicant, we would factor favorably an individual’s record of conduct that includes experience with an array of diverse perspectives, as well as a wide variety of different educational, research or other work activities. Among other qualifications, we would also factor favorably experience overcoming or helping others overcome barriers to an academic career or degrees.

As a Jesuit Catholic institution of higher education, we seek candidates who will contribute to our strategic plan to deliver a transformative education in the Jesuit tradition. To learn more about LUC’s mission, candidates should consult our website at www.luc.edu/mission. For information about the university’s focus on transformative education, they should consult our website at www.luc.edu/transformativeed.

Quick Link for Posting:

https://www.careers.luc.edu/postings/14523

Job Number:

85TBD

Organizational Location:

PROVOST

Desired Start Date:

08/09/2021

Open Until Filled:

Yes

 

 

 

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Job No:
Posted: 12/9/2020
Application Due: 3/9/2021
Work Type: Full Time
Salary: