About the position
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: {bOther1}
Rotate: {bOther2}
On Call: {bOther3}
Travel: {bOther4}
Weekend/Holiday: {bOther5}
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 hrcompliance@utoledo.edu or
419-530-4747 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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