Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions!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 provide inferential tools. The successful applicant will be expected to develop an innovative research program in sequential decision-making. Our lab is involved in a number of digital health studies in obesity, 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: [Details not provided]
Special Instructions: Please provide your CV, a research statement, and the names and contact information of three references.
Contact Information: Jessamyn Jackson, Science and Engineering Complex, 150 Western Ave, Sci&Eng, #2.401, Allston, MA 02134
Contact Email: [Email not provided]
Equal Opportunity Employer: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required: [Details not provided]
Maximum Number of References Allowed: [Details not provided]
Supplemental QuestionsRequired fields are indicated with an asterisk (*).
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