Postdoctoral Research Associate, Electrical and Computer Engineering

Phase2 Technology; Tucson (AZ); On-site; USD 60,000 - 90,000; Full time

Benefits offered by this job

Health Insurance

Dental Insurance

Vision Insurance

Paid Vacation

Sick Leave

Tuition Reduction

Access to Recreation Activities

Job summary

An innovative research team at a prestigious institution is seeking a motivated Postdoctoral Research Associate to contribute to cutting-edge research in Artificial Intelligence and Machine Learning. This role involves collaboration with a diverse group of universities, focusing on exciting topics such as reinforcement learning and trustworthy AI. The successful candidate will have the opportunity to mentor students, publish research findings, and participate in grant writing, all while enjoying outstanding benefits and a supportive work environment. If you are passionate about advancing AI research, this position offers a unique opportunity to make a significant impact.

Qualifications

• PhD must be conferred upon hire.
• Experience in AI-related research projects.

Responsibilities

• Conduct research in deep reinforcement learning and multi-agent systems.
• Publish findings in top-tier conferences and journals.
• Mentor students in AI-related projects.

Skills

Deep Reinforcement Learning

Multi-Agent Systems

Neuro-Symbolic AI

Explainable AI

Control Theory

Education

PhD in Electrical Engineering

PhD in Computer Science

PhD in Mechanical Engineering

PhD in Applied Math

Job description

Postdoctoral Research Associate (Electrical and Computer Engineering)

Posting Number: req22588

Department: Electrical and Computer Engineering

Department Website: https://ece.engineering.arizona.edu/

Location: Main Campus, Tucson, AZ, USA

Position Highlights

The 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.

Benefits

Outstanding 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 click here.

Duties & Responsibilities

1. Conduct research in deep reinforcement learning, multi-agent systems, trustworthy AI, explainable/safe AI, neuro-symbolic AI, and autonomous driving.
2. Publish research findings in top-tier conferences and journals.
3. Mentor graduate and undergraduate students in AI-related research projects.
4. Participate in grant writing and proposal development to support ongoing and future research initiatives.
5. Perform additional duties as assigned.

Knowledge, Skills, and Abilities

• Knowledge in scientific or engineering fields related to Artificial Intelligence and Machine Learning.
• Knowledge in control theory and its applications.

Minimum Qualifications

• 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.

Preferred Qualifications

• Effective writing experience for publication in scientific research journals.

Additional Details

• 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.