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Postdoc In Topological Data Jobs in Idaho (NOW HIRING)

University of Idaho Job

Postdoctoral Fellow

Moscow, ID · On-site

$60K/yr

Specifically, the scholar will conduct research in numerical relativity by extending the Einstein ... Experience generating binary black hole initial data (conformally flat/curved) on curvilinear ...

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Postdoc In Topological Data information

What is a postdoc in topological data?

A Postdoc in Topological Data is a researcher who has completed their PhD and is engaged in advanced research focused on the application of topology—an area of mathematics dealing with spatial properties—to analyze and interpret complex data sets. These positions typically involve both theoretical work and the development of computational tools to extract meaningful patterns from high-dimensional or complex data. Postdocs in this field often collaborate with interdisciplinary teams in mathematics, computer science, and applied domains such as biology or engineering. The role is intended to deepen expertise, publish research, and prepare for academic or research-intensive careers.

What are the key skills and qualifications needed to thrive as a postdoc in topological data?

To thrive as a Postdoc in Topological Data, you need a strong background in mathematics (particularly topology, algebra, and geometry), data analysis, and a PhD in a related field. Familiarity with computational tools like Python, R, MATLAB, and software libraries for topological data analysis (such as GUDHI or Ripser) is typically required. Exceptional problem-solving ability, collaboration, and strong scientific communication skills help distinguish top candidates in interdisciplinary research environments. These skills are crucial for advancing research, publishing high-quality work, and contributing effectively to collaborative scientific projects.

What are some typical collaborative opportunities for a postdoc in topological data within academic or research settings?

As a Postdoc in Topological Data, you can expect to collaborate closely with interdisciplinary teams, including mathematicians, computer scientists, and domain experts from fields like biology or materials science. Collaborative projects often involve developing or applying topological methods to analyze complex datasets, contributing both theoretical insights and computational tools. These interactions may include co-authoring research papers, participating in joint seminars, and working with graduate students. Such collaborations not only broaden your research impact but also help expand your professional network and skill set.

What are popular job titles related to Postdoc In Topological Data jobs in Idaho?

For Postdoc In Topological Data jobs in Idaho, the most frequently searched job titles are:

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The top searched job categories for Postdoc In Topological Data jobs in Idaho are:

Postdoc In Topological Data jobs near you

Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes

Moscow, ID • On-site

University of Idaho Job
See more jobs at University of Idaho Jobexternal

$63K/yr

Full-time

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

Job description

Position Information
Internal Posting? Posting Number SP005013P Position Title Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes Division/College University Research Department Institute for Modeling Collaboration & Innovation (IMCI) Location Moscow Posting Context Statement Position Overview
The Postdoctoral Research Associate selected for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods for predicting mental health outcomes of anxiety, depression and PTSD. There will be potential opportunities for methodological and/or software development and the integration of machine learning into the project.
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.
Unit URL
https://imci.uidaho.edu/
Position Qualifications
Required Experience
  • Experience with statistical or predictive modeling as demonstrated by publications in the field
  • Evidence of strong written and oral communication skills
Required Education
  • Ph.D. in statistics, biostatistics, epidemiology, public health, psychology, psychiatry, computational biology, or related discipline
Required Other
  • None
Additional Preferred
  • Experience working in one or more of the following areas:
    • Longitudinal data analysis
    • Predictive modeling/machine learning models
    • Biostatistics / epidemiological modeling of public health data
  • 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
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. Uncertain 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.
Applicants:
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@uidaho.edu.
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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