Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions! - Military veterans preferred

2025-09-12
Harvard University
Other

/yr

  employee   contract


Cambridge
Massachusetts
02163
United States

Harvard University


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.


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 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 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. 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.

Contact Information: Jessamyn Jackson
Science & Engineering Complex
150 Western Avenue
#2.401
Allston, MA 02134

Contact Email: jessjackson@fas.harvard.edu


Minimum Number of References Required: 3

Maximum Number of References Allowed: 3


Supplemental Questions: Required fields are indicated with an asterisk (*).



Equal employment opportunity, including veterans and individuals with disabilities.

PI277973996