Post Doctoral Associate

The University of Toledo • Toledo, OH

9d

About The Position

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

The position requires a Ph.D. in a related technical field and demonstrated research and software development experience in AI, machine learning, autonomous systems, or related areas. U.S. citizenship or permanent resident status is strongly preferred. Employment is subject to applicable pre-employment health screenings. The University of Toledo is a tobacco-free institution and an equal opportunity employer that provides reasonable accommodations.

Requirements

• 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.

Nice To Haves

• Experience with modeling and simulation environments.
• Proficiency in one or more of 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.
• Experience with Python, C++, and Unreal Engine software engineering, including sub-millisecond data synchronization between simulation frameworks and external Python-based AI models hosted at partner institutions.

Responsibilities

• Lead the design, implementation, testing, and validation of research methods and software.
• Coordinate technical activities with internal and external collaborators.
• Mentor graduate students and other research personnel.
• Support high-quality, secure, and reproducible project execution.
• Conduct research and development for testing, analysis, and integration of AI and machine-learning algorithms into simulation and training technologies for autonomous systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree