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Mathematical Modeling Postdoc Jobs in Idaho (NOW HIRING)

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Role Title: Physics Expert (PhD / Postdoc) Role Type: Contractor. Location: Remote micro1 is ... High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter ...

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK ... Your work will shape how models learn, reason, and perform through high-quality, real-world input.

D. in Physics, Astrophysics, Applied Mathematics, Computer Science/Engineering, or a closely ... Familiarity with gravitational-wave modeling and catalog/campaign paper authorship. Physical ...

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Mathematical Modeling Postdoc information

What does a mathematical modeling postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are the key skills and qualifications needed to thrive as a mathematical modeling postdoc?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.

What are some common challenges faced by mathematical modeling postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What job categories do people searching Mathematical Modeling Postdoc jobs in Idaho look for?

The top searched job categories for Mathematical Modeling Postdoc jobs in Idaho are:

What cities in Idaho are hiring for Mathematical Modeling Postdoc jobs?

Cities in Idaho with the most Mathematical Modeling Postdoc job openings:

Infographic showing various Mathematical Modeling Postdoc job openings in Idaho as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Postdoctoral Research Associates, Statistical and Computational Modeling

University of Idaho

Moscow, ID • On-site

$61K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


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Job description

Position Details
Position Information
Internal Posting?
Posting Number
SP004690P
Position Title
Postdoctoral Research Associates, Statistical and Computational Modeling
Division/College
University Research
Department
Institute for Modeling Collaboration & Innovation (IMCI)
Location
Moscow
Posting Context Statement
The University of Idaho is in Moscow, a friendly mid-sized town on the rolling hills of the Palouse, with great parks, bike paths, restaurants, a farmer's market, and fantastic opportunities for recreation in the adjacent mountains and rivers. It is only eight miles from Washington State University in Pullman, Washington, providing an academically and culturally rich community. For more information about the University of Idaho and Moscow, visit the links below.
Position Overview
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.
Unit URL
https://imci.uidaho.edu/
www.uidaho.edu/
www.moscowchamber.com/visit-moscow.
Position Qualifications
Required Experience
  • Modeling experience demonstrated by publications in the field
  • Evidence of strong written and oral communication skills

Required Education
  • Ph.D. by the time of appointment in statistics, mathematics, computer science, engineering or a related discipline

Required Other
  • None

Additional Preferred
  • Experience working in one of the following areas
    • 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
  • Ability to work as a part of a multi-disciplinary team

Physical Requirements & Working Conditions
  • None

Degree Requirement
Listed degree qualification is required at time of hire
Posting Information
FLSA Status
Exempt
Employee Category
Exempt
Pay Range
$61,008 per year 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.
Uncertain
Posting Date
12/17/2024
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants
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
  • Contact information for three references.

Preferential review of applications will begin April 1, 2025. The committee will continue receiving applications until these positions are filled.
Applicant Resources
https://www.uidaho.edu/human-resources/careers/applicant-resources
Background Check Statement
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.

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