Description

Position

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 Keywords

Supplemental Questions

Required fields are indicated with an asterisk ().

Applicant Documents

Required Documents

Curriculum Vitae

Cover Letter

Optional Documents

Statement of Research

Publication

Publication 2

Publication 3

URL

Publication 4

Publication 5