Title Postdoctoral Fellowship in Computer Vision at Harvard University
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area Computer Science
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
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.
Ph.D. in computer science/engineering or a related field to work on applied
research projects in computer vision and deep learning.
Candidates should have a substantial publication history in top computer
vision/machine learning venues and good teamwork and communication skills.
A complete application must include a cover letter, curriculum vitae, and
three letters of reference.
Contact Email firstname.lastname@example.org
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
Minimum Number of References Required 3
Maximum Number of References Allowed 5
Required fields are indicated with an asterisk ().
Statement of Research