Postdoctoral Research Associate, Statistical and Computational Modeling Digital Twins

Position: Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins

Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins

Position Title:

Postdoctoral Research Associate, Statistical and Computational Modeling for Digital Twins

Division/College:
University Research

Department:
Institute for Modeling Collaboration & Innovation (IMCI)

Location:

Moscow

Position Overview

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. IMCI supports an environment that advances 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.

Required Qualifications

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

Required Education

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

Preferred Qualifications

• Experience working in one of the following areas:
  • Machine learning/predictive modeling for longitudinal data analysis or large language models.
  • Strong motivation in the 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

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

Posting Information

FLSA Status:
Exempt

Employee Category:
Exempt

Pay Range: $63,128 annually or higher depending on experience.

Type of Appointment:
Fiscal Year

FTE: 1.0

Full Time/Part Time:
Full Time

Funding:
This position is contingent upon the continuation of work and/or funding.

A visa sponsorship is available for the position listed in this vacancy.

Posting Date: 09/09/2025

Closing Date:
Open Until Filled Yes

Special Instructions to Applicants

This position is posted as open until filled, however, applications submitted on or before September 23, 2025, will receive priority consideration.

Please use your letter of qualification to explain in detail how your work experience, skills, and abilities meet both the required and preferred qualifications as listed in the position description. Your letter of qualification will be used to demonstrate your communication and writing skills to determine your ranking among the other applicants for this position.

For resources about how to write a letter of qualification, please visit the HR website here:
Applicant Resources – Careers | University of Idaho (uidaho.edu).

For more information about this position, please visit our Jobs page.

If you have any questions regarding this posting, please reach out to the search coordinator at kskovgard.

Applicants who are selected as final possible candidates must be able to pass a criminal background check.

EEO Statement

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

Required Documents

• Resume/CV
• Letter of Qualification

Optional Documents

None specified.

Supplemental Questions

• * How did you hear about this employment opportunity?
  • Academic Careers
  • Association of Public and Land Grant Universities (APLU)
  • Chronicle
  • Disabled in Higher Ed
  • Facebook
  • Higher Ed/Academic Impressions
  • Higher Ed Jobs
  • Idaho Department of Labor/Job Service including Job Central or Idaho Works (Idaho works.gov)
  • Inside Higher Ed
  • Linked In
  • Newspaper
  • Other Venue
  • Professional Listservs (Ex: NACUBO, AAAE, ISMC, etc.)
  • University of Idaho Website
  • University of Idaho Daily Register
  • University of Idaho Employee
  • Veterans in Higher Ed
  • Word of Mouth
• * Were you referred to this employment opportunity by a current University of Idaho employee? If so, please provide their name and department.

  (Open Ended Question)

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