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UTSA CEID
 February 8, 2023

Open Faculty Positions in Hardware Security, Robotics, Bioinformatics, and Artificial Intelligence. Apply today!

Open Faculty Positions in Hardware Security, Robotics, Bioinformatics, and Artificial Intelligence. Apply today!

by utsaengineer / Saturday, 08 October 2022 / Published in COE Announcements, Electrical & Computer Announcements

Faculty Positions in ECE Department at UTSA

The Department of Electrical and Computer Engineering (ECE) at the University of Texas, San Antonio (UTSA) invites applications for tenure-track faculty openings starting Fall 2023 in Hardware Security, Robotics, Bioinformatics, and AI Accelerator. By the time of hire, the successful candidate must have a Ph.D. degree in Electrical Engineering, Computer Engineering, or related areas with outstanding academic credentials that clearly demonstrate their ability to conduct independent and successful research in their areas of expertise and to build cross-disciplinary research programs.

 

Job Description

Hardware Security: we invite applications from exceptional candidates in the areas of memory safety, side-channels, hardware roots of trust, formal verification of critical hardware, AI (Artificial Intelligence) and machine learning for hardware security, and other emerging areas that complement existing strengths within the Department. The candidate must have a strong understanding of state-of-the-art hardware-related security threats and countermeasures and their impacts across the hardware design. The design and prototyping of security solutions in the ASIC/FPGA at both IP and SoC levels is desired.

Robotics: we invite applications from exceptional candidates in all areas of robotics; specifically, mechanical design, automation, sensing, smart actuators, human centered robotics and automation, advanced control strategies, sensor fusion, learning and optimization, computer vision, and other emerging areas that complement existing strengths within the Department.

Bioinformatics: we invite applications from exceptional candidates in the areas of applications of Artificial Intelligence or machine learning techniques in research areas such as computational biology, systems biology, biomedical image analysis, and data engineering including data acquisition, storage, organization, analysis, or visualization, and other emerging areas that would complement existing strengths within the Department. The preferred candidate needs to demonstrate knowledge in cancer research, computational neuroscience, infectious disease, precision therapeutics, health disparities, and -omics data analysis.

AI Accelerator: we invite applications from exceptional candidates in the areas of designing new AI accelerators and custom hardware (e.g., digital accelerators, custom ASICs, mixed-signal chip design, emerging technologies) towards the development and deployment of lightweight, efficient AI models that can be executed on resource-constrained hardware and the support of rapid growth of models and reduction of overall carbon footprint. Researchers in this area will collaborate with the MATRIX AI Consortium researchers with expertise in AI devices, circuits, and architectures.

 

How to Apply?

Application packages should be submitted to:

 

Hardware Security & Robotics: https://bit.ly/3BHbiCu

Bioinformatics & AI accelerator: https://bit.ly/3Rqhwv9

 

All applications received by priority deadline of October 15, 2022 will be given first preference for consideration. Applications received after that date will be reviewed if the position is not filled. Applicants selected for interviews must show proof that they will be eligible and qualified to work in the United States by the time of hire. Incomplete applications will not be reviewed. UTSA is an Affirmative Action/Equal Employment Opportunity Employer.

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