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Postdoctoral In Reinforcement Learning Jobs in Arizona

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

Preferred : • Familiarity with AI safety and ethics, including preventing unwanted behaviors or biases in autonomous systems. • Experience in reinforcement learning (RL) and decision-making ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Experience in reinforcement learning (RL) and decision-making frameworks. * Familiarity with cognitive architectures or symbolic reasoning for agent systems. Work Environment: Candidates must be ...

TSMC

Senior Agent AI Engineer

Phoenix, AZ · On-site

$128K - $176K/yr

Experience in reinforcement learning (RL) and decision-making frameworks. * Familiarity with cognitive architectures or symbolic reasoning for agent systems. Work Environment: Candidates must be ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Exceptional Bachelor's students will also be considered. - Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based ...

Waabi

Research Scientist, Learnable Planner

Phoenix, AZ · On-site +1

$158K - $269K/yr

Exceptional Bachelor's students will also be considered. - Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Waabi

Research Scientist, Simulation Agents

Phoenix, AZ · On-site +1

$158K - $269K/yr

Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related field. - Strong background in imitation learning and/or reinforcement learning. - Publications in top ...

Intel

Machine Learning Engineer

Phoenix, AZ

What you'll do Work in a dynamic team to: * Build evaluation benchmarks and metrics * Build and ... tuning and reinforcement learning. * Previous experiences designing and building evaluation ...

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Postdoctoral In Reinforcement Learning information

What is the difference between Postdoctoral In Reinforcement Learning vs Postdoctoral In Machine Learning?

AspectPostdoctoral In Reinforcement LearningPostdoctoral In Machine Learning
Required CredentialsPhD in Computer Science, AI, or related field; strong programming skills; research experience in reinforcement learningPhD in Computer Science, AI, or related field; strong programming skills; research experience in machine learning
Work EnvironmentAcademic labs, research institutions, industry R&D teams focused on reinforcement learning applicationsAcademic labs, research institutions, industry R&D teams working on various machine learning techniques
Industry UsagePrimarily in AI research, robotics, gaming, and autonomous systemsBroader applications including data analysis, predictive modeling, and AI research

Postdoctoral In Reinforcement Learning specializes in research related to decision-making algorithms and autonomous systems, whereas Postdoctoral In Machine Learning covers a wider range of AI techniques. Both roles require similar credentials but differ in focus and application areas.

What are the key skills and qualifications needed to thrive as a Postdoctoral Researcher in Reinforcement Learning, and why are they important?

To thrive as a Postdoctoral Researcher in Reinforcement Learning, you need a PhD in computer science or a related field, with deep expertise in machine learning, statistics, and algorithm development. Proficiency in programming languages such as Python, experience with deep learning frameworks (e.g., TensorFlow or PyTorch), and familiarity with reinforcement learning libraries are typically required. Strong analytical thinking, problem-solving ability, collaboration, and scientific communication skills help you excel in research teams and publish impactful work. These competencies are vital to advancing state-of-the-art research, developing novel algorithms, and contributing to the academic and industrial progress in AI.

What are some common challenges faced by postdoctoral researchers in reinforcement learning, and how can they be addressed?

Postdoctoral researchers in reinforcement learning often face challenges such as balancing independent research projects with collaborative work, staying up-to-date with rapidly evolving literature, and managing the pressure to publish in top conferences. Effective time management, regular engagement with the research community through seminars and workshops, and seeking mentorship from senior colleagues can help address these challenges. Additionally, collaborating with interdisciplinary teams can offer fresh perspectives and support, making it easier to navigate complex research problems.

What is a Postdoctoral Researcher in Reinforcement Learning?

A Postdoctoral Researcher in Reinforcement Learning is an individual who has completed a PhD and conducts advanced research in the field of reinforcement learning, a branch of artificial intelligence focused on how agents take actions in environments to maximize rewards. These researchers often work in academic, industrial, or governmental research settings, collaborating on projects that advance the theoretical foundations or practical applications of reinforcement learning. Their responsibilities may include designing experiments, developing algorithms, publishing papers, and mentoring graduate students.
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What job categories do people searching Postdoctoral In Reinforcement Learning jobs in Arizona look for? The top searched job categories for Postdoctoral In Reinforcement Learning jobs in Arizona are:
What cities in Arizona are hiring for Postdoctoral In Reinforcement Learning jobs? Cities in Arizona with the most Postdoctoral In Reinforcement Learning job openings:
Postdoctoral In Reinforcement Learning jobs near you
Postdoctoral Research Associate (Electrical and Computer Engineering)

Postdoctoral Research Associate (Electrical and Computer Engineering)

University of Arizona

Tucson, AZ • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 5 days ago

University Of Arizona rating

7.1

Company rating: 7.1 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

351st of 538 rated colleges and universities

Job description

Postdoctoral Research Associate (Electrical and Computer Engineering)
Posting Number
req24681
Department
Electrical and Computer Engr
Department Website Link
https://ece.engineering.arizona.edu/
Location
Tucson Campus
Address
Tucson, AZ USA
Position Highlights
The Electrical and Computer Engineering (ECE) Department at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate with background on AI and machine learning for wireless networking and communications.
The successful candidate will work under the direction of Dr. Marwan Krunz, Director of the Wireless Communications and Networking (WICON) Lab, at the University of Arizona. The laboratory is actively involved in various projects related to wireless communications, networking, and security, with particular emphasis on resource allocation strategies, distributed protocol design, and security. The incumbent will contribute to various projects on NextGen/5G systems.
The laboratory has been involved in projects related to 5G cellular systems, mmWave protocols (beamforming, initial access, phased antenna arrays, wireless backhauling, etc.), cognitive/agile radios, dynamic and shared spectrum access, harmonious coexistence of heterogeneous wireless systems, full-duplex transmissions, ultra-low-latency mobile edge computing (MEC), network slicing, physical-layer wireless security, satellite communications, MIMO systems, energy management in wireless sensor networks, and streaming over wireless links.
We invite qualified candidates to join our group and participate in cutting-edge research related to these topics.
This position is eligible for J-1 visa sponsorship.
Outstanding U of A benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; access to U of A recreation and cultural activities; and more!
The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here
Duties & Responsibilities
  • Conduct research on generative AI /ML, including application of generative adversarial and diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis.
  • Study new reinforcement learning and DQN designs for beam tracking and management in mobile systems.
  • Investigate spectrum sharing over unlicensed and licensed bands.
  • Study the coexistence between active and passive systems.
  • Interact with industry partners, participate in and support various projects within the WISPER center.
  • Attend WISPER meetings.
  • Foster collaborations within the Department, with other units across the University, and with team members at other institutes.
  • Present research at national and international conferences.
  • Prepare manuscripts for publication in peer-reviewed journals.
  • Participate in grant writing, including generating preliminary data, submitting grant applications, and preparing progress reports.
  • Team up with other members of the WICON group to write joint papers for presentation at top-tier conferences and publication in high-quality archived journals.
  • Assist Dr. Krunz with mentoring graduate students.
  • Additional duties as assigned.

Knowledge, Skills, and Abilities
  • Expert knowledge of AI and ML techniques, including but not limited to GANs, autoencoders, and diffusion models.
  • Some knowledge of wireless communications systems and Physical-layer security, including RF signal classification and wireless protocols (5G, LTE, and Wi-Fi).
  • Strong analysis skills, research, and technical writing skills.
  • Ability to communicate professionally in a clear, concise manner orally and in writing.

Minimum Qualifications
  • PhD degree in Electrical Engineering, Electrical and Computer Engineering, Computer Science, or a related field of study.
  • Selected applicant must have PhD conferred upon hire.

Preferred Qualifications
  • Experience with wireless simulation tools (e.g., LabView, Matlab Toolboxes).
  • Experience with RF experimentations (e.g., USRP radios).
  • Experience with 5G cellular systems, LTE, and Wi-Fi protocols.
  • Experience with proposal writing and grant reporting.

FLSA
Exempt
Full Time/Part Time
Full Time
Number of Hours Worked per Week
40
Job FTE
1.0
Work Calendar
Fiscal
Job Category
Research
Benefits Eligible
Yes - Full Benefits
Rate of Pay
NIH Postdoc Salary Scale, Depends on Experience
Compensation Type
salary at 1.0 full-time equivalency (FTE)
Type of criminal background check required:
Name-based criminal background check (non-security sensitive)
Number of Vacancies
1
Target Hire Date
1/26/2026
Expected End Date
Contact Information for Candidates
Dr. Marwan Krunz
krunz@arizona.edu
Open Date
12/5/2025
Open Until Filled
Yes
Documents Needed to Apply
Curriculum Vitae (CV) and Cover Letter
Special Instructions to Applicant
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum and the Preferred qualifications (if applicable).
Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University's campuses.Thesereports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.

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