Postdoctoral Fellowship in Visualization and Machine Learning at Harvard University

Harvard University
June 11, 2023
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Offerd Salary:Negotiation
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Working Time:Negotigation
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Position

Details

Title Postdoctoral Fellowship in Visualization and Machine Learning at Harvard University

School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description

The Interactive Insight Lab 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 research projects in the areas of data visualization and machine learning. In addition to working closely with graduate students and collaborators on research projects, the candidate is expected to actively participate in writing grant proposals.

Basic Qualifications

Ph.D. in computer science/engineering or a related field

Additional Qualifications

Candidate should have a substantial publication history in top visualization or 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

Gina Franzetta

Contact Email [email protected] Equal Opportunity Employer

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required 3 Maximum Number of References Allowed 3 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
  • From this employer

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