"Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions!"

Company: Harvard University

Job Location: Cambridge, 02138

Category: Statistics

Type: Full-Time

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.

Salary Range: $67,600-$80,000. Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field.

Minimum Number of References Required: 3

Maximum Number of References Allowed: 3