Postdoctoral Research Associate (Electrical and Computer Engineering)

The department of Electrical and Computer Engineering (ECE) at the University of Arizona is seeking a qualified and highly motivated Postdoctoral Research Associate with background on AI and machine learning for working on multi-modal image synthesis, including SAR, SONAR, and EO/IR.

The successful candidate will work under the direction of Dr. Abhijit Mahalanobis at the University of Arizona. His group is actively conducting research in AI/ML methods for small object detection, discrimination and classification as well as in generative techniques for multi-modal images. The incumbent will contribute to novel algorithm development, detailed performance characterization and analysis, and trade studies involving these topics.

Over the years, Dr. Mahalanobis and his team have worked on methods for Automatic Target Recognition, learning with less data, out of distribution detection, aspects of continuous learning, knowledge merging, as well as other theoretical topics on the fundamentals of AI/ML.

We invite qualified candidates to join our group and participate in cutting-edge research related to these topics.

Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

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• Conduct research on generative and discriminative deeplearning techniques for synthetic aperture radar imagery. This includes 1) Deep component analysis for information processing, 2) physics based generative models for end-to-end imaging, and 3) multi-modal/multi-sensor/multi-band super resolution data generation and fusion.
• Foster
  collaborations in AI/ML research within the Department, with other units
  across the University, and with team members at other institutes.
• Participate in meetings with industry sponsors.
• 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.
• Additional duties as assigned.

Knowledge, Skills and Abilities:

• Knowledge of deep learning, machine learning, image processing, and EO/IR and RF signal processing.
• Strong analysis skills, research, and technical writing skills.
• Ability to communicate professionally in a clear, concise manner orally and in writing.

• 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.

• Two years of prior work experience in small business R&D is preferable.
  
• Experience in deep learning tools in Matlab and Python/Pytorch, familiarity with computing platforms for AI/ML, and programming in python or C/C++.

amahalan@arizona.edu