Postdoctoral collaborator

The International Society for Bayesian Analysis

Seattle (WA)

On-site

USD 50,000 - 70,000

Full time

14 days+

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Job summary

A leading research institution seeks multiple Postdoctoral Scholars to join an interdisciplinary team focused on methodology and data analysis in social and health sciences. Candidates must hold a Ph.D. in relevant fields. Responsibilities include enhancing data collection methods, developing statistical models, and collaborating on research projects. Full consideration for applications received by November 30, 2021.

Qualifications

  • Ph.D. in relevant field is mandatory.
  • Experience in interdisciplinary research is preferred.
  • Strong background in data collection methods and analysis.

Responsibilities

  • Collaborate in research projects focused on methodology and data analysis.
  • Enhance data collection efficiency using link-tracing designs.
  • Develop models for network structure representation.

Skills

Statistical modeling
Data analysis
Machine learning
Research collaboration

Education

Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field

Job description

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 (tylermc@uw.edu) if you’re interested and would like to discuss potential projects. Please see thmccormick.github.io for further information.

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