The Department of Sociology is hiring a predoctoral fellow with experience or training in computational science or a related computational field. The predoctoral fellow will conduct data analysis for research projects on human mobility within and across borders in different regions of the world. The fellow will be responsible for identifying data sources, harmonizing data from different settings, as well as conducting advanced statistical analysis. Expertise in classical statistical estimation as well as machine learning applications is required. The fellow will work on joint research projects with graduate students and principal-investigator faculty.
Applicants are required to submit a cover letter, cv, and one writing sample or published work.
Responsiblities include:
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
If the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.
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