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 (jessjackson@fas.harvard.edu).
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