Job Information
Harvard University Postdoctoral Fellow in Statistics in Cambridge, Massachusetts
Details
Title Postdoctoral Fellow in Statistics
School Faculty of Arts and Sciences
Department/Area Statistics
Position Description
The Department of Statistics invites applications for a Postdoctoral Fellow with Professor Samuel Kou. Professor Kou’s lab focuses on research in stochastic inference in biology, chemistry and medicine, Bayesian inference, machine learning and AI, statistical computing, big data applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited) to Bayesian prior construction, role of synthetic data in Bayesian analysis, machine learning and AI methods, causal inference in biomedical data.
The appointment will be for up to two years with annual renewal based on satisfactory performance and continued availability of funding.
Basic Qualifications
Ph.D. in Statistics, Biostatistics, Computer Science, Mathematics, or directly related field at time of appointment is required.
Additional Qualifications
The successful applicant will be expected to have a solid statistical background, research experiences showing independence and innovation, and demonstrated academic writing skills.
Special Instructions
Please upload the following application materials; curriculum vitae, statement of research experience and interests, and name of/contact information for your PhD advisor. Optional Documents; cover letter and up to two representative publications.
The position will remain open until filled, and start date is flexible.
Contact Information
Professor Samuel Kou
Department of Statistics
Harvard University
1 Oxford Street
Cambridge, MA 02138
Contact Email kou@stat.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, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 2
Maximum Number of References Allowed 3
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