Tyler McCormick and colleagues are seeking multiple postdoctoral Scholars (12-month service period) to collaborate in research and join an interdisciplinary team working on methodology, data collection, and analysis directed by scientific questions in the social and health sciences.
The scope of the positions is open. Potential projects include, but are not limited to:
- Improving data collection efficiency and accuracy in link-tracing designs (e.g. Respondent driven sampling)
- Partial graph data collection strategies for networks (e.g. Aggregated Relational Data)
- Large scale models for anomaly detection on graphs
- Developing models to represent structure in networks using low dimensional manifolds
- Modeling demographic and health trends in low-resource settings
- Developing a decision-making framework for policy decisions based on predictions from statistical and machine learning models
Qualifications
Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field.
Application Instructions
Applicants should submit a cover letter, curriculum vitae, names of three references, and PDFs of any relevant papers not published or available online.
The group values contributions to diversity, equity and inclusion in STEM fields, and to outreach; these can be described in the cover letter.
Review of applications will begin immediately, though applications received by November 30, 2021 are guaranteed full consideration and review of applications will continue until the positions are filled. Please email Tyler ( ) if you’re interested and would like to discuss potential projects. Please see thmccormick.github.io for further information.
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