Postdoctoral Research Associate, Electrical and Computer Engineering
Listed on 2026-01-01
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Research/Development
Artificial Intelligence, Research Scientist
Posting Number: req
22588
Department: Electrical and Computer Engineering
Department Website: (Use the "Apply for this Job" box below)./
Location: Main Campus, Tucson, AZ, USA
Position HighlightsThe Department of Electrical and Computer Engineering (ECE) at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate to join the Artificial Intelligence (AI) & Machine Learning (ML) Lab, under the supervision of Dr. Bo Liu.
The research team is a collaborative partnership among nine U.S. universities led by the University of Arizona, focusing on reinforcement learning, multi-agent systems, neuro-symbolic AI, and trustworthy intelligence.
We invite qualified candidates to participate in cutting-edge research on these topics. This is a year-to-year appointment, contingent upon funding and performance.
BenefitsOutstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more! For additional information about working at the University of Arizona and relocation services, please .
Duties & Responsibilities- Knowledge in scientific or engineering fields related to Artificial Intelligence and Machine Learning.
- Knowledge in control theory and its applications.
- PhD in Electrical Engineering, Electrical and Computer Engineering, Computer Science, Mechanical Engineering, Communication Engineering, Applied Math, or a closely related field.
- PhD must be conferred upon hire.
- Effective writing experience for publication in scientific research journals.
- FLSA: Exempt
- Full/Part Time: Full Time
- Hours per Week: 40
- Job FTE: 1.00
- Work Calendar: Fiscal
- Job Category: Research
- Benefits Eligible: Yes
- Salary: NIH salary guidelines, depends on experience
- Compensation Type: Salary at 1.0 FTE
- Background Check: Name-based criminal background check (non-security sensitive)
- Number of Vacancies: 1
- Open Date: 5/2/2025
- Open Until Filled: Yes
- Application Documents: CV, Cover Letter, two additional documents (including a publication and research plan)
- Application Instructions: Please submit a cover letter highlighting relevant experience and research interests, CV, a copy of one publication, and a research plan.
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