Postdoctoral Research Associates, Statistical and Computational Modeling

Postdoctoral Research Associates, Statistical and Computational Modeling

Three Postdoctoral Research Associate positions are available at the University of Idaho in the Institute for Modeling Collaboration and Innovation (IMCI). These postdoctoral researchers will contribute to our modeling community as members of an interdisciplinary team of researchers working in a uniquely collaborative environment.

The Institute for Modeling Collaboration and Innovation (IMCI) is an interdisciplinary, collaborative research program housed at the University of Idaho. IMCI creates an intellectual and physical environment that fosters model-based interdisciplinary research. The IMCI Modeling Core is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams.

Position qualifications include modeling experience demonstrated by publications in the field, evidence of strong written and oral communication skills, and a Ph.D. by the time of appointment in statistics, mathematics, computer science, engineering or a related discipline. Preferred experience includes work in biomedical applications, social determinants of health or other demographic health areas, spatial microsimulation, spatially weighted regression, combinatorial optimization or Bayesian network analysis, large language models or machine learning/predictive modeling for longitudinal data analysis, strong computer programming skills, strong mathematical or statistical skills, and the ability to work as a part of a multi-disciplinary team.

This position is contingent upon the continuation of work and/or funding. A visa sponsorship is available for the position listed in this vacancy. The committee will continue receiving applications until these positions are filled.

Application materials should include a CV, a letter of qualification that addresses how the applicant meets the required and preferred qualifications, PDFs of up to three relevant publications or submitted manuscripts, and contact information for three references. Preferential review of applications will begin April 1, 2025.