Post Doctoral Associate

Post Doctoral Associate

Job no: 501685

Work type: Staff - Full-Time

Location: Main Campus - Academic Toledo, OH

Categories: Full-Time, Post Doc, None

Title: Post Doctoral Associate

Department Org: Electrical Engineering - 101990

Employee Classification: P1 - Post Doctoral Assoc FT-MC

Bargaining Unit: Professional Staff Association

Primary Location: MC AC

Shift: 1

Start Time: End Time:

Posted Salary:

Float:

Rotate:

On Call:

Travel:

Weekend/Holiday:

Job Description:

The selected candidate will work on advanced research and development for testing, analysis, and integration of in artificial intelligence and machine learning algorithms in new simulation and training architectures and technologies for autonomous systems. The position leads the design, implementation, testing, and validation of research methods and software; coordinates technical activities with internal and external collaborators; mentor graduate students and other research personnel; and supports high-quality, secure, and reproducible project execution. Experience with Python / C++ / Unreal Engine software engineering efforts, ensuring sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted at partner institutions is preferred.

Citizenship: U.S. Citizen/Permanent Resident is greatly preferred.

Minimum Qualifications:
• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Modeling and Simulation, or a closely related field.
• Demonstrated research and software development experience in artificial intelligence, machine learning, autonomous systems, or related areas.
• Experience developing and evaluating computational models and research software using modern programming, data analysis, version-control, and computing tools.
• Ability to lead interdisciplinary research activities, mentor research personnel, and collaborate effectively with internal and external stakeholders.
• Strong written and verbal communication skills, including technical reporting, documentation, publications, and presentations

Preferred Qualifications:
• Experience with modeling and simulation environments.
• Proficiency in one or more of the following: Unreal Engine, C++, Python, CUDA, systems integration, API development, network programming (UDP/TCP/ZeroMQ), simulation and training technologies, or hardware acceleration.
• Experience with Hardware-in-the-Loop (HITL), JSON serialization, headless simulation, ground vehicle systems, or defense modeling and simulation.
• U.S. citizenship or permanent resident status is strongly preferred.

Conditions of Employment:

To promote the highest levels of health and well-being, the University of Toledo campuses are tobacco-free. Pre-employment health screening requirements for the University of Toledo Health Science Campus Medical Center will include drug and other required health screenings for the position.


Equal Employment Opportunity Statement:

The University of Toledo is an equal opportunity employer. The University of Toledo does not discriminate in employment, educational programs, or activities on the basis of race, color, religion, sex, age, ancestry, national origin, sexual orientation, gender identity and expression, military or veteran status, disability, familial status, or political affiliation.


The University is dedicated to attracting and retaining the best and brightest talent and fostering a culture of respect.

The University of Toledo provides reasonable accommodation to individuals with disabilities. If you require accommodation to complete this application, or for testing or interviewing, please contact HR Compliance at View email address on click.appcast.io or View phone number on click.appcast.io between the hours of 8:30 a.m. and 5 p.m. or apply online for an accommodation request.


Computer access is available at most public libraries and at the Office of Human Resources located in the Center for Administrative Support on the UToledo Main Campus.

Advertised: 16 Oct 2026 Eastern Daylight Time

Applications close:


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