Post Doctoral Associate

utoledo.edu; Toledo (OH); On-site; USD 65,000 - 90,000; Full time

Job summary

The University of Toledo in Electrical Engineering seeks a Post Doctoral Associate to advance research and development in AI and machine learning for new simulation and training architectures for autonomous systems.

The role leads design, implementation, testing, and validation of research methods, and coordinates activities with collaborators while mentoring graduate students and other researchers. Proficiency in Python/C++ and Unreal Engine is preferred.

Qualifications

• Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Modeling and Simulation or closely related field.
• Research and software development experience in AI, ML, autonomous systems or related areas.
• Experience developing computational models and research software with modern tools and version control.
• Ability to lead interdisciplinary research, mentor personnel, and collaborate with stakeholders.
• Strong written and verbal communication and dissemination skills.

Responsibilities

• Lead design, implementation, testing, and validation of research methods and software.
• Coordinate activities with internal and external collaborators and mentors.
• Support high quality, reproducible project execution in simulations and training architectures.
• Bridge Python and C++ based AI models with simulation frameworks and partners.

Skills

AI research

Machine learning

Software development

Python

C++

Team mentoring

Education

Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Modeling and Simulation

Tools

Unreal Engine

APIs

Version control

Job description

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 [e-mail] 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.