Tyler McCormick and colleagues are seeking three or more 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
Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website (https://hr.uw.edu/labor/2019/06/03/agreement-reached-with-uaw-postdoctoral-scholars-on-2019-2021-contract).
Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field.
Applicants should submit a cover letter, curriculum vitae, names of three references, and PDFs of any relevant papers not published or available online. Apply directly here: https://apply.interfolio.com/81536
The group values contributions to diversity, equity and inclusion in STEM fields, and to outreach; these can be described in the cover letter.
Please see thmccormick.github.io for more information.