Dr. Michelle Dion (Professor & Senator William McMaster Chair in Gender & Methodology) invites applications from Post-Doctoral Political Scientists with expertise in advanced statistical, causal inference, and/or computational methodologies for an initial one-year, in-residence Post-Doctoral appointment, with the potential to be renewed for an additional 12-month period.
The successful candidate will be expected to: a) serve as an editorial assistant for Dr. Dion in her role as a member of the 2020-24 APSR editorial team; b) collaborate and co-author on a range of interdisciplinary social science research projects, including on gender, publication, and citation bias in the academy; and c) develop and advance their research agenda in the field of political methodology. The Post-Doctoral Fellow will also be expected to participate in Department and other campus events.
Qualifications
Eligible candidates will have completed a PhD in Political Science within the past 5 years, with evidence of training in and application of advanced statistical methods, causal inference, and/or computational social scientific approaches to research questions in Political Science.
Successful candidates will have extensive experience with a range of relevant programming languages (e.g., Python, R) and tools (e.g., Git, LaTeX). Successful candidates will be intellectually curious, have impeccable planning skills and sound judgement, and be a highly motivated individual who can work well in teams.
Priority will be given to applicants with a demonstrated prior interest in research questions related to gender, sexuality, race, ethnicity, or other axes of inequality.
Candidates who expect to complete their PhD within the next six months will be considered for a part-time appointment with full-time status contingent on completion of their degree within a defined time period.
Applicants should send cover letter, CV, writing sample, and sample coding script (R or Python preferred).
How To Apply
To apply for this job, please submit your application online.
Applicants should submit cover letter, CV, writing sample, and sample coding script (R or Python preferred).
