How do I participate in MLPerf at CRCS?
Harvard MLPerf is interested in supporting postdoctoral research positions to attract some of the world’s best machine learning young scholars to interact with faculty and students. Prospective candidates from machine learning systems research, who will be no more than two years past their doctoral degree at the time of the appointment, are eligible to apply.
Successful candidates will have access to the wide range of resources at Harvard. Interested individuals can contact the Harvard MLPerf research faculty member(s) who is willing to serve as a mentor. It is recommended to contact the Harvard faculty member well in advance of applying because the faculty receive many requests. Applicants must submit an application, including the following materials:
- Candidate CV (4 page max), including publication list and date of Ph.D. graduation. If not yet graduated, please note the estimated date for graduation.
- A one-two page description of proposed research that should include a clear statement of objectives and of the significance and expected impact of the proposed research if successful. This page limit includes figures, citations, references, tables, etc. Font size should be no smaller than 11pt. Applications exceeding this limit will be rejected without review.
- Two Letters of Recommendation (2 page max. for each letter), including one that must be from the candidate’s Ph.D. thesis advisor, which provides detailed assessments of the candidate’s qualifications and potential for innovative, ground-breaking independent research.