Job Information
Johns Hopkins University Postdoctoral Fellow - Lehigh University in Bethlehem, Pennsylvania
Postdoctoral Fellow - Lehigh University
We invite applications for a unique cross-institution Postdoctoral Fellowship position that is available immediately. The candidate will have co-primary supervisors Prof. Daniel P. Robinson and Prof. René Vidal. The initial appointment will be at Robinson's lab for one year, with a second year at Vidal's lab that is contingent on a satisfactory first year. Opportunities for collaboration include the Foundations and Applications of Mathematical Optimization and Data Science (MODS (https://wordpress.lehigh.edu/lehigh-mods/) ) group at Lehigh University and the Collaboration on the Mathematical Foundations of Deep Learning (THEORINET (https://www.minds.jhu.edu/theorinet/) ) at The Johns Hopkins University and The University of Pennsylvania, among other institutions.
About Lehigh University: Founded in 1865, Lehigh University combines outstanding academic and learning opportunities with leadership in fostering innovative research. Recognized among the nation's highly ranked research universities, Lehigh offers a rigorous academic community for over 5,000 undergraduates, 2,000 graduate students, and about 550 full-time faculty members. Lehigh University is located in Bethlehem, PA., a vibrant and historic area. Over 820,000 people live in the Lehigh Valley, which is in close proximity to New York City and Philadelphia. Lehigh has five colleges, including the new College of Health, and is investing substantially in new innovative research and academic programs to enhance its intellectual footprint. These investments, based on faculty-driven initiatives, will advance the University's commitment to scholarship and to the student experience.
Equal Employment Opportunity: Lehigh University is an affirmative action/equal opportunity employers that does not discriminate on the basis of age, color, disability, gender identity or expression, genetic information, marital or familial status, national or ethnic origin, race, religion, sex, sexual orientation, or veteran status.
Candidates must have completed a Ph.D. in applied mathematics, computer science, electrical engineering, statistics or a closely related field prior to their appointment start date and show definite promise in research. The successful candidate will be expected to collaborate with Prof. Robinson and Prof. Vidal on problems related to optimization and machine learning, such as deep subspace clustering, and their applications in computer vision. Therefore, a strong background in machine learning, optimization and statistics is required, and knowledge in computer vision would be beneficial.
Review of applications will begin immediately and will continue until the position is filled. Applicants are asked to submit to the following items: (a) a cover letter (b) a curriculum vita; (c) a description of current and past research (1-3 pages); (d) a plan for future research, and (e) three letters of recommendation.
Job Type: Full Time Johns Hopkins University is committed to active recruitment of a diverse faculty and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.