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Postdoctoral Fellow with the Trustworthy AI Lab - Digital, Data, and Design Institute, Harvard University
Harvard University
Details
Posted: 23-Dec-22
Location: Cambridge, Massachusetts
Salary: Open
Internal Number: 11982
School: Harvard Business School
Position Description:
The Digital, Data, and Design (D^3) Institute at Harvard is accepting applications for multiple postdoctoral fellows to work on research activities at our research labs. D^3 launched in the summer of 2022 with 12 labs working on research at the intersection of academia and practice. For more information on D^3, please visit https://d3.harvard.edu.
The postdoctoral fellows will work under the direct supervision of faculty Principal Investigators and the Senior Associate Director, Lab Operations. They will work closely with the lab manager and research associate(s) at each lab. D^3 is looking for candidates with diverse backgrounds and/or new perspectives. There are no teaching requirements for these open positions.
The Trustworthy AI Lab, led by HBS Professors Hima Lakkaraju, Marco Iansiti, and Seth Neel and Harvard SEAS Professor Salil Vadhan, is seeking a Postdoctoral Fellow. The lab focuses on developing algorithms that allow data science practitioners to trade-off ethical considerations like privacy, interpretability, and bias with accuracy, and to mitigate the risks of overfitting. Recent works on fairness have included new definitions of statistical fairness that account for a more complex protected group structure or a more flexible notion of similarity, new algorithms for efficiently deleting user data from neural networks, the SOTA bounds for adaptive data analysis, and new techniques for differentially private optimization. Ensuring privacy and fairness in large-scale genomic analyses is a new research interest.
Theory of Differential Privacy. The selected candidate will be expected to lead research in privacy-preserving data analysis/machine learning that is motivated by practice but has a strong theoretical underpinning. A background and strong interest in differential privacy required. Potential projects could concern private linear regression and related problems, the connection between differential privacy and properties like generalization and replicability, and various relaxations or alternative privacy notions. Successful applicants will be strong technically as well as have an inclination towards real-world problems. We are looking for applicants with demonstrably strong research skills, ideally, with publications in top venues in machine learning or theoretical CS — although this is not a hard requirement (e.g., ICML, NeurIPS, ICLR, STOC, FOCS, ALT, COLT).
Basic Qualifications:
Basic Qualifications:
- A Ph.D. or equivalent degree in computer science, statistics, or a closely related field. PLEASE NOTE: If you have obtained your Ph.D. in the past 12 months you must be able to provide a certificate of completion from the degree-granting institution OR a letter from the institute's registrar stating all requirements for the degree have been successfully completed and should verify the date the degree has been conferred. No exceptions.
Additional Qualifications:
Additional Qualifications:
- Experience implementing DP algorithms and machine learning models in Python preferred.
Contact Information:
Laura Kelley, Associate Director, Research Staff Services
Harvard Business School
Soldiers Field Road
Boston, MA 02163
Harvard Business School
Soldiers Field Road
Boston, MA 02163
Contact Email: lkelley@hbs.edu
Special Instructions:
Application Details:
Applications will be accepted until the position is filled. Please apply here via the Harvard system. Please do not contact lab faculty; if you have any questions, please contact d3@harvard.edu.
All applications should include the following:
- Curriculum vitae
- Link to Github account and/or any software developed
- Copy of academic records (official records are acceptable)
- 2-page research statement describing prior research experience and future research plans
- Two representative publications (preprints are acceptable)
- Three letters of recommendation.
Candidates may be asked to undergo an assessment as part of the interview process.
Additional Information:
This is a term position through June 30, 2024, with the strong possibility of renewal based on funding and performance. Relocation funding not provided.
The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard's Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University's COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University's
Connections working at Harvard University
About Harvard University
Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.
More Jobs from This Employer
https://careers.aaai.org/jobs/17956815/postdoctoral-fellow-with-the-trustworthy-ai-lab-digital-data-and-design-institute-harvard-university
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