Postdoctoral Fellowships in Computer Science

Harvard University, United States

Updated: about 2 years ago
Location: Cambridge, MASSACHUSETTS
Deadline: ;

Details


Title Postdoctoral Fellowships in Computer Science
School Harvard John A. Paulson School of Engineering and Applied Sciences
Department/Area Computer Science
Position Description
The John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Department of Statistics at Harvard University seeks applicants for three postdoctoral fellow programs in Computer Science.
Michael O. Rabin Postdoctoral Fellowship in Theoretical Computer Science
The John A. Paulson School of Engineering and Applied Sciences at Harvard University (SEAS) seeks applicants for the Michael O. Rabin* Postdoctoral Fellowship in Theoretical Computer Science. The normal duration of the Rabin Fellowship is two years. Rabin Fellows will receive a generous salary as well as an allocation for research and travel expenses.
We are looking for junior scientists in theoretical computer science, broadly construed. Rabin Fellows will be provided with the opportunity to pursue their research agenda in an intellectually vibrant environment with ample mentorship. While interaction with Harvard faculty, students, and visitors is encouraged, Rabin Fellows are free to pursue their own interests.
*The fellowship is named after Michael O. Rabin, pioneer in Computer Science research and winner of numerous awards including the A. M. Turing award in 1976. Michael Rabin has been on the faculty at Harvard since 1981, and currently is the Thomas J. Watson, Sr. Professor of Computer Science, Emeritus in SEAS. The fellowship is aimed at researchers in all areas of theoretical computer science, including fellows that, like Rabin, might create new areas that do not yet exist.
Applicants to the Rabin Fellowship will also be considered for other possible postdoctoral fellowship positions in theoretical computer science at Harvard, depending on availability of funds and an applicant’s fit with the research activities in the group. Please note that these other fellowships may have different terms and/or salary than the Rabin Postdoctoral Fellowships.


Privacy Tools Postdoctoral Fellowship
The Harvard Privacy Tools Project invites applications for postdoctoral fellowships to advance a multidisciplinary understanding of data privacy issues and build computational, statistical, legal, and policy tools to help address these issues in a variety of contexts. The normal duration of the fellowship is two years. Postdoctoral fellows will receive a generous salary as well as an allocation for research and travel expenses.
The postdocs will be hosted and mentored by one or more of the Privacy Tools faculty members, such as Flavio du Pin Calmon, Stephen Chong, Cynthia Dwork, Gary King, Seth Neel, and Salil Vadhan, and will have the opportunity to engage with one or more of the ongoing Privacy Tools research efforts. These efforts include OpenDP: an open-source suite of differential privacy tools (http://opendp.io/) and Towards an end-to-end approach to formal privacy for sample surveys. Relevant areas of expertise and research methodologies include information theory, programming languages and formal methods, software engineering, applied and theoretical statistics, and theoretical computer science.


Postdoc on Fairness in Prediction Algorithms
The Theory for Society Project invites applications for postdoctoral fellowships to advance a multidisciplinary understanding of fairness issues in algorithms that predict risk or provide “individual probabilities.” The duration of the postdoc is one year with the possibility of renewal. Postdoctoral fellows will receive a generous salary as well as an allocation for research and travel expenses. This position is under the auspices of Harvard’s Center for Research on Computation and Society.
Relevant areas of expertise include: complexity theory, probability and philosophy of probability, machine learning, and knowledge of the algorithmic fairness literature. The postdoc will be mentored by Cynthia Dwork.


Postdoctoral Fellow in the Theory of Representation Learning in Artificial and Natural Systems 
 
The Harvard Theory of Machine Learning invites applications for a postdoctoral fellowships in a multidisciplinary study of the underpinnings of deep learning, and in particular representation learning, transfer learning, generalization, and connections between artificial neural networks and natural learning systems including human and animal brains.  We are looking for exceptional junior scientists to work collaboratively with a group of faculty from Computer Science (Boaz Barak), Statistics (Lucas Janson), Electrical Engineering (Demba Ba) and Applied Mathematics (Cengiz Pehlevan) towards a theory of representations in artificial and natural systems. Candidates should suggest at least two of these faculty as potential advisors for their proposed research. The duration of the fellowship will be one year with the possibility of extending for an additional year. 
 
Candidates should have backgrounds in one or more of the following areas: machine learning, statistics, computational neuroscience, theoretical computer science, applied mathematics, or electrical engineering.  We do not expect candidates to know everything about all these areas, but be willing to learn and collaborate with researchers from different areas and backgrounds. 
 
The candidate will be expected to publish scholarly papers, attend internal, domestic, and international conferences and meetings, as well as take on a mentorship role for undergraduate and graduate students.


The Michael O. Rabin Postdoctoral Fellowship in Theoretical Computer Science, the Privacy Tools Project, Theory for Society, and Theory for Machine Learning are dedicated to building a diverse community that is welcoming for everyone, regardless of disability, gender identity and expression, physical appearance, race, religion, or sexual orientation.  We strongly encourage applications from members of underrepresented groups.
Basic Qualifications
Candidates are required to have a doctorate or terminal degree in Computer Science or a related area by the expected start date.
Additional Qualifications
Special Instructions
Required application documents include a cover letter, CV, a statement of research interests, and up to three representative papers. Candidates are also required to submit the names and contact information for at least three and up to five references, and the application is complete only when three letters have been submitted.
We encourage candidates to apply by December 1, 2021, but will continue to review applications until the positions are filled.
Contact Information
Jessica Brenn
Contact Email [email protected]
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
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