Supervisor: David Raichlen, PhD
A postdoctoral research position is available in David Raichlen’s lab in the Department of Biological Sciences, University of Southern California (USC). The Raichlen lab uses a wide range of analytic tools and research methods to address questions at the intersection of physical activity, human evolution, and health. We have a strong interest in using an evolutionary perspective to understand the relationship between physical activity, inactivity, and the risks of developing Alzheimer’s disease and related dementias. We are hiring a post-doctoral scholar to assist with an interdisciplinary multi-institution study funded by the National Institute on Aging examining associations between physical activity, sedentary behavior, and brain health in older adults.
The successful candidate will have substantial input in the nature and the direction of these ongoing research projects and will be encouraged to explore projects that broadly fit within the lab’s research interests. Specific job duties will be adapted based on the interests and career goals of the postdoctoral scholar. Opportunities are available for both method development as well as collaboration with colleagues analyzing neuroimaging and genomics data. Additional information about our lab and research can be found at: www.raichlenlab.com.
The postdoctoral scholar is expected to perform analyses of large-scale wearable accelerometer, questionnaire, and health records data from multiple human populations and collaborate with scientists at other institutions. This individual will also lead projects, work in a multidisciplinary environment, and present/publish results in scientific conferences/journals. Additionally, the postdoctoral scholar will mentor graduate and/or undergraduate students in the lab.
Funding is available for at least 2 years. Position is renewable annually after 2 years contingent upon satisfactory progress. Salary is competitive and commensurate with experience and expertise. The University of Southern California offers a competitive benefits package including medical, dental, vision, life insurance, and short- and long-term disability insurance.
Candidates should have a Ph.D. in exercise science, evolutionary anthropology, psychology, computational biology, epidemiology/public health, biomechanics, or a related field. Proficiency in one or more programming languages (e.g. R, python, matlab, etc.) is necessary. Experience in conducting epidemiology research and analyzing large datasets is a plus, but not required. Review of applications will begin immediately and position will remain open until filled. Start date is flexible and can be winter, spring, or summer 2023.
Interested candidates should submit a CV, short cover letter describing your background and research interests, and contact information for 2 references. Informal inquiries are welcomed and can be addressed to Dr. David Raichlen at .