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Research Professional II, Electrical and Computer Engineering (part-time)

University of Arizona
life insurance, vision insurance, sick time
United States, Arizona, Tucson
Nov 18, 2025
Research Professional II, Electrical and Computer Engineering (part-time)
Posting Number req24473
Department Electrical and Computer Engr
Department Website Link https://ece.engineering.arizona.edu/
Location Main Campus
Address 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 Research Professional with background in AI and machine learning, including application of generative adversarial and diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging and RF signal synthesis.

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 5G and 6/G systems.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A/ASU/NAU tuition reduction for the employee and qualified family members; retirement plans; 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
  • Develop and design research on generative AI /Machine Learning, including application of generative adversarial and diffusion models for synthesis of 5G/6G coverage maps, channel characterization, medical imaging, and RF signal synthesis.
  • Design variational autoencoder models for RF signal classification and inference.
  • Design GANs and other generative AI models for synthesis of cancer-cell images and gene expression profiles in biomedical and cancer research.
  • Study new reinforcement learning and DQN designs for beam management in mobile systems.
  • Investigate AI models for spectrum sharing over unlicensed and licensed bands.

Knowledge, Skills and Abilities

  • Expert knowledge of AI and ML techniques, including but not limited to GANs, Autoencoders, and diffusion models.
  • Strong analysis skills, research and technical writing skills.
  • Ability to communicate professionally in a clear, concise manner orally and in writing.
  • Skill in effectively communicating research results.
  • Knowledge of computer language such as Write C#, R, or Python, Gitlab.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

Minimum Qualifications
  • Bachelor's degree or equivalent advanced learning attained through experience required.
  • Three years of relevant work experience or combination of education and work experience.
Preferred Qualifications

  • Master's degree in Electrical and Computer Engineering, Information Systems, or related field.
FLSA Exempt
Full Time/Part Time Part Time
Number of Hours Worked per Week 28
Job FTE 0.70
Work Calendar Fiscal
Job Category Research
Benefits Eligible Yes - Full Benefits
Rate of Pay $53,039 - $66,299
Compensation Type salary at 1.0 full-time equivalency (FTE)
Grade 7
Compensation Guidance The Rate of Pay Field represents the University of Arizona's good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate's work experience, education/training, key skills, and internal equity.

The Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator.
Career Stream and Level PC2
Job Family Researchers & Scientists
Job Function Research
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies 1
Target Hire Date
Expected End Date
Contact Information for Candidates Dr. Marwan Kunz | krunz@arizona.edu
Open Date 11/17/2025
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant

Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.

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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