Postdoctoral collaborator, University of Washington

The International Society for Bayesian Analysis; Seattle (WA); On-site; USD 50,000 - 70,000; Full time

Job summary

The International Society for Bayesian Analysis is seeking Postdoctoral Scholars to join an interdisciplinary team focused on research in social and health sciences. Projects involve advancing data collection methods and statistical modeling. The group values diversity and outreach, emphasizing contributions to equity in STEM.

Qualifications

• Must hold a Ph.D. in a relevant field.
• Experience in statistical analysis and machine learning.
• Strong collaborative and interdisciplinary research skills.

Responsibilities

• Collaborate on methodology, data collection, and analysis.
• Work on various projects including anomaly detection and network modeling.
• Develop decision-making frameworks based on statistical predictions.

Skills

Statistical modeling

Data analysis

Machine learning

Data collection strategies

Education

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

Job description

Postdoctoral collaborator, University of Washington

Feb 18, 2021

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

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. 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.