We invite applications for a postdoctoral position to conduct research in the Computer Science Department at Brown University. The successful candidate will help lead a broad team of students, researchers, and faculty working to develop new machine learning methods which learn with less labeled data. The project PIs are Professors Stephen Bach, Michael Littman, Eli Upfal, and James Tompkin. We are looking for a talented, motivated, and highly collaborative person to help lead high-impact projects on the topic of weakly supervised machine learning (broadly construed and shaped by the candidate’s interests).
Minimum qualifications are a PhD in computer science or a related field; publications and working skills in areas such as weakly supervised and unsupervised machine learning, computer vision, or natural language processing; and strong oral and written communication skills. Preferred qualifications include experience mentoring or supervising students (including undergraduates) and strong software development skills. This is in principle a two-year appointment beginning Summer 2019, with renewal for the second year contingent on satisfactory performance. Professor Stephen Bach will supervise the appointment. Interested candidates should submit the following documents to Professor Stephen Bach (sb...@cs.brown.edu): - Cover letter describing the applicant’s interest in and suitability for the position - CV with references to publications - Names, affiliations, and email addresses of two references Brown University is committed to fostering a diverse, inclusive, and global academic community. As an EEO/AA employer, Brown considers applicants for employment without discrimination on the basis of gender, race, protected veteran status, disability, or any other legally protected status. The department is similarly committed to building a diverse faculty and strongly encourages women, underrepresented minorities and those who can contribute to the excellence, diversity, and inclusivity of our academic community. Brown University is located in Providence, RI, an hour from Boston and about three hours from New York City, both accessible via frequent rail service, and close to Narragansett Bay. Providence has been consistently rated among the Northeast's most livable cities and is home to diverse intellectual, artistic, and business communities. Applications are being considered on an ongoing basis until the position is filled.
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