HARVARD UNIVERSITY

Postdoctoral Fellow in Statistics

Location
Cambridge, Massachusetts (US)
Posted
09 Feb 2018
End of advertisement period
09 Mar 2018
Ref
8109
Contract Type
Permanent
Hours
Full Time

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.

Basic Qualifications

Ph.D. in Statistics, Computer Science, Operations Research, or Electrical Engineering at time of appointment is required.

Additional Qualifications Special Instructions

To apply for this position, 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).

Contact Information

Jessamyn Jackson
Department of Statistics
Science Center #400
1 Oxford Street
Cambridge, MA 02138

Contact Email 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, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Minimum Number of References Required Maximum Number of References Allowed Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents Required Documents Optional Documents

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