Harvard School-Public 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 and reinforcement learning algorithms. We combine statistical methods with algorithms from reinforcement learning so as to provide inferential tools such as confidence intervals. 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 US.
The appointment will be for up to three years with annual renewal based on satisfactory performance and continued availability of funding.
Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required.
Harvard School of Public Health traces its roots to public health activism at the beginning of the last century, a time of energetic social reform. HSPH began as the Harvard-MIT School of Health Officers, founded in 1913 as the first professional training program of public health in America. The partnership offered courses in preventive medicine at Harvard Medical School, sanitary engineering at Harvard University and allied subjects at MIT.