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Postdoctoral Fellow in Geometric Machine Learning
Harvard University in Cambridge, Massachusetts
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Date Posted November 03, 2022
Admin-Tutors and Learning Resources
Employment Type
Application Deadline Open until filled

A postdoctoral position is available in Melanie Weber’s group at Harvard University. The group works at the intersection of Geometry and Machine Learning, with a focus on recognizing and exploiting geometric structure in data and models. 

Research areas include Representation Learning, Machine learning and Optimization on Graphs and Manifolds, as well as applications of geometric methods in the sciences. For more information and recent publications, see . For questions, please email This is a one-year position, with possible extension. The start date is flexible, but ideally around August 2023. 
Review of applications will begin in January 2023, but applications will be accepted until the position is filled. 
A Ph.D. in Mathematics, Computer Science, or a related field, is required by the start of the appointment. 
To apply, visit: . Please submit your CV, a research statement, names and contact information of at least 3 references, as well as copies of two publications that are representative of your work and research interests. SEAS is dedicated to building a diverse and welcoming community and strongly encourages applications from historically underrepresented groups.
Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
*Please mention to employers when applying for this job*
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