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Postdoctoral Fellowship in Computer Vision at Harvard University
Harvard University in Cambridge, Massachusetts
 
 
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Date Posted 04/30/2022
Category
Admin-Computing-Other
Employment Type
Application Deadline Open until filled
 
 
 
 
 

Details


Title Postdoctoral Fellowship in Computer Vision at Harvard University
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area Computer Science
Position Description
The Visual Computing Group (https://vcg.seas.harvard.edu/) in the School of Engineering and Applied Sciences (SEAS) at Harvard University seeks motivated postdoctoral fellows with a Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning.
The successful applicant will apply cutting edge computer vision and machine learning approaches (e.g., segmentation, object detection, tracking, image registration) to process and analyze image data. In addition to working closely with collaborators, industry partners, and graduate students on research projects, the candidate is expected to actively participate in writing grant proposals. Candidates should have a substantial publication history in top computer vision/machine learning venues (CVPR, ICCV, ECCV, NeurIPS, ICML, etc.) and good teamwork and communication skills. Experience in deep learning and demonstrated capability to produce workable solutions from theoretical formulations is highly preferred. The position is available immediately, with guaranteed funding for two years. Please submit a cover letter, your CV, and at least three references.
Basic Qualifications
Ph.D. in computer science/engineering or a related field to work on applied research projects in computer vision and deep learning.
Additional Qualifications
Candidates should have a substantial publication history in top computer vision/machine learning venues and good teamwork and communication skills.
Special Instructions
A complete application must include a cover letter, curriculum vitae, and three letters of reference.
Contact Information
Sumaira Ahammed
Contact Email sahammed@g.harvard.edu
Equal Opportunity Employer
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.
Minimum Number of References Required 3
Maximum Number of References Allowed 5
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