Howard University, Department Mathematics

Position ID: 1265-RAP [#19790]
Position Type: Tenured/Tenure-track faculty
Position Location: Washington, District of Columbia 20059, United States [map] sort by distance
Application Deadline: 2023/03/28 11:59PMhelp popup finished (2022/03/28, finished 2023/09/27)
Position Description:   URMs Remote  

*** this position has been closed. ***

The Department of Mathematics in the College of Arts and Sciences invites applications for a tenure-track position at the rank of Assistant Professor with research interests in the area of Statistical Machine Learning, inclusive of the Mathematics of Machine Learning, Data Science, and Artificial Intelligence, and Computational Statistics. We seek outstanding applicants with a demonstrated track record of excellence in research and teaching. Successful candidates are expected to develop vigorous, extramurally funded research programs in their areas of expertise, actively participate in the Department's teaching and curriculum development at the undergraduate and graduate levels, and mentor undergraduate and graduate students. Evidence of interest and success in mentoring underrepresented students is highly desired.

Howard University, a culturally diverse, comprehensive, research-intensive, and historically Black private university, provides an educational experience of exceptional quality at the undergraduate, graduate, and professional levels to students of high academic standing and potential, with particular emphasis upon educational opportunities for Black students. Howard University is currently classified as an R2 research university with aspirations and actions underway to achieve R1 status within the next few years. It is a residential campus of approximately 12,000 students located in the heart of the nation’s capital, Washington, D.C.

The Department of Mathematics currently consists of forty-five faculty members, conducting pure and applied research with specializations in Algebra and Number Theory, Analysis and Geometry, Applied Mathematics, and Probability and Statistical Sciences. It offers BS, MS, and Ph.D. degrees in Mathematics with foci in Pure Mathematics, Applied Mathematics, Statistical Sciences, and is a leading unit in the STEM Interdisciplinary major. Required Qualifications:

•Earned doctorate in machine learning, statistical sciences with a focus on machine learning, computational statistics, or closely related disciplines from an accredited institution. •Record of scholarship, teaching, and professional service commensurate with the rank of assistant professor. •Effective communication and organizational skills; and •Evidence of potential for successful grant writing. Complete applications consist of a single PDF file containing

1) Cover letter addressing qualifications listed above. 2) Current curriculum vita. 3) Two-page statement of research accomplishments, interests, and future plans. 4) Two-page statement of teaching experience and philosophy; and 5) Names and contact information for at least three references who will provide letters upon request from the search committee.

Completed applications should be addressed to the Chair of the search committee, Dr. Katharine Gurski, and submitted electronically to The screening will begin immediately and continue until the position is filled. The desired starting date is August 16, 2022. Additional details and information can be found at

The University does not discriminate on the basis of race, color, national and ethnic origin, sex, sexual orientation, gender or gender identity, marital status, religion, disability, or protected veterans’ status. Veterans and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities or veterans’ status, Equal Employment Opportunity, and Title IX should be directed to the Office of Employee Relations and Equal Employment Opportunity at 202-806-1280.

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Contact: Dr. Katharine Gurski
Email: email address
Postal Mail:
Howard University
College of Arts & Sciences
Academic Support Building B #25
Department of Mathematics
2441 6th Street, N.W.
Room 204
Washington, D.C. 20059
Web Page: