美国爱达荷大学招聘博士后—心理健康结果的预测建模

美国爱达荷大学招聘博士后—心理健康结果的预测建模

Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes

University of Idaho

Moscow, ID

Type: Full-Time

Salary: $63,128 annually or higher

Posted: 09/11/2025

Category: Statistics; +2

Postdoctoral Research Associate, Predictive Modeling for Mental Health Outcomes

Posting Number: SP005013P

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.

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

FLSA Status: Exempt

Employee Category: Exempt

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

Type of Appointment: _of_Appointment

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.

To apply, visit https://uidaho.peopleadmin.com/postings/49433

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

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