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

University of Arizona•Tucson, AZ

38d•$53,039 - $66,299

About The Position

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.

Requirements

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

Nice To Haves

Master's degree in Electrical and Computer Engineering, Information Systems, or related field.

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.