Postdoctoral Research Associate, Statistical and Computational Modeling Digital Twins

Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins

The Postdoctoral Research Associate selected for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential opportunities for methodological and/or software development, as well as the integration of machine learning into the project, depending on the candidate’s interests.

This position is one of three Postdoctoral Research Associate positions currently 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.

• Modeling experience demonstrated by publications in the field
• Evidence of strong written and oral communication skills

• Ph.D. in statistics, mathematics, computer science, engineering or a related discipline

• Experience working in one of the following areas:
  • Machine learning/predictive modeling for longitudinal data analysis or large language models
  • Development and application of digital twins, particularly in health and biomedical contexts
  • Strong computer programming skills
  • Strong mathematical or statistical skills
• Ability to work as part of a multi-disciplinary team

Physical Requirements &

Working Conditions:

None

Degree Requirement:
Listed degree qualification is required at time of application.

The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.