Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions

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

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

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

School

School Faculty of Arts and Sciences

Department/Area

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.

Additional Qualifications

Jessamyn Jackson
Science & Engineering Complex
150 Western Avenue
#2.401
Allston, MA 02134

Contact Email

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

Minimum Number of References Required 3

Maximum Number of References Allowed

Maximum Number of References Allowed 3

Keywords

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