Postdoctoral Fellow at Harvard in RL for Mobile Health!
Join us as a postdoctoral fellow in Professor Susan Murphy's Statistical Reinforcement Learning Group! Our research concerns sequential decision making in mobile health, including experimental design, causal inference and reinforcement learning algorithms. We combine statistical methods with algorithms from reinforcement learning so as 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 mobile 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.
Instructions: Send application materials; curriculum vitae, statement of research interests, and names and contact information for three references to Research Coordinator Jessamyn Jackson (email@example.com).
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.
School: Faculty of Arts and Sciences, Department: Statistics