Postdoctoral Fellow: Reinforcement Learning for Digital Health

Harvard University; Northern (KY); Hybrid; USD 68,000 - 80,000; Full time

Job summary

Harvard University in Allston, MA invites applications for a Postdoctoral Fellow in reinforcement learning with applications in digital interventions. Join Professor Susan Murphy’s Statistical Reinforcement Learning Group to advance sequential decision-making research in digital health. The appointment is up to three years with annual renewal based on performance and funding.

Candidates hold a Ph.D. in Statistics, CS, OR, or EE and will develop an independent research program spanning

Qualifications

• Ph.D. in Statistics, CS, OR, or EE by appointment is required.
• Appointment up to three years with annual renewal based on performance and funding.
• Experience with reinforcement learning in sequential decision making is preferred.

Responsibilities

• Develop an innovative research program in sequential decision making.
• Contribute to digital health studies across domains like dental, cardiac, physical activity, mental health and substance abuse.
• Collaborate with Professor Murphy’s group on RL algorithms and statistical inference.

Skills

Reinforcement learning

Sequential decision making

Statistical methods

Education

Ph.D. in Statistics, CS, OR, or EE

Job description

Harvard University in Allston, MA invites applications for a Postdoctoral Fellow in reinforcement learning with applications in digital interventions. Join Professor Susan Murphy’s Statistical Reinforcement Learning Group to advance sequential decision-making research in digital health. The appointment is up to three years with annual renewal based on performance and funding.

Candidates hold a Ph.D. in Statistics, CS, OR, or EE and will develop an independent research program spanning