Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions!

Details

Title Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions!

School Faculty of Arts and Sciences

Department/Area Statistics

Position Description

Join us as a postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision making in digital health, including experimental design and reinforcement learning algorithms. We combine statistical methods with online reinforcement learning algorithms to develop reinforcement learning algorithms and inferential tools. The successful applicant will be expected to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental illness and substance abuse across the world.

Basic Qualifications

Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required. The appointment will be for up to three years with annual renewal based on satisfactory performance and continued availability of funding.

Additional Qualifications

Special Instructions

Please provide your CV, a research statement, and the names and contact information of three references.

Harvard University is committed to equal opportunity (https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation\_statement.pdf) and non-discrimination (https://provost.harvard.edu/files/provost/files/non-discrimination\_and\_anti-bullying\_policies.pdf) . We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity (https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation\_statement.pdf) policy that outlines our commitment to prohibiting discrimination on the basis of race, sex, ethnicity, color, national origin, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy (https://provost.harvard.edu/files/provost/files/non-discrimination\_and\_anti-bullying\_policies.pdf) . Harvard’s equal employment opportunity (https://hr.harvard.edu/sites/g/files/omnuum6281/files/2025-04/reaffirmation\_statement.pdf) policy and non-discrimination policy (https://provost.harvard.edu/files/provost/files/non-discrimination\_and\_anti-bullying\_policies.pdf) help all community members participate fully in work and campus life free from harassment and discrimination.

Contact Information

Jessamyn Jackson

Science & Engineering Complex

150 Western Avenue

#2.401

Allston, MA 02134

Contact Email [email protected]

Salary Range

$67,600-$80,000

Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field.

Minimum Number of References Required 3

Maximum Number of References Allowed 3

Keywords

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1678254.pdf) policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy (https://pa-hrsuite-production.s3.amazonaws.com/606/docs/1674140.pdf) . Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions