postdoc position in physics-ai at UIUC

Position Description:
Prof. Lui Sha in the Department of Computer Science at UIUC is looking for a postdoc researcher, for research and development in Safe Physics-AI. The core goal of this research is to improve the safety and performance of deep learning solutions used in cyber-physical systems, by integrating physics knowledge. Target applications include autonomous ground and aerial vehicles. This research is fully funded by NASA and NSF. The successful candidate will join a dynamic research team to contribute to cutting-edge research and innovation in the realm of self-driving ground and aerial vehicles. This is a unique opportunity to collaborate with leading experts in the field, apply state-of-the-art techniques, and make significant contributions to the future of autonomous transportation. Compensation includes a competitive postdoctoral salary with a comprehensive benefits package. The expected start time is Spring 2024 or Fall 2024. The position is for one year, with possible yearly renewal.


Duties and Responsibilities:
• Conduct research in Safe Physics-AI.
• Collaborate with a multidisciplinary team to integrate the developed solutions into real autonomous systems.
• Publish research findings in top-tier conferences and journals.
• Participate in the design and execution of field experiments to validate results.
• Mentor graduate students working on related research projects.


Requirements:
• Ph.D. in Computer Science or a closely related field.
• Strong experience in deep learning research and demonstrated proficiency using related software tools and libraries, e.g., Tensorflow, PyTorch, Caffe.
• Proven track record of publications in relevant conferences and journals.
• Solid understanding of machine learning and deep learning techniques applied to robotics.
• Strong communication skills in both written and spoken English.
• Experience in perception, planning, and/or control for autonomous ground or aerial vehicles, preferred but not required.


About Lui Sha ([url=https://cps-il.github.io/projects/):]https://cps-il.github.io/projects/):[/b][/url]
Lui Sha graduated with Ph.D. from CMU in 1985. He worked at the Software Engineering Institute from 1986 to 1998. He joined UIUC in 1998. Currently, he is Donald B. Gillies Chair Professor of Computer Science, at the University of Illinois at Urbana-Champaign. He was named Tau Beta Pi Daniel C. Drucker Eminent Faculty in 2017. He is a Fellow of ACM and IEEE and a recipient of IEEE’s Simon Ramo medal, which honors exceptional achievement in systems engineering and systems science. IEEE Medals are the highest distinctions that the IEEE presents. From 2015-2017, Lui Sha was appointed by the Administrator of NASA, Charles Bolden, to the Aeronautics Committee of the NASA Advisory Council. He was selected for this council based largely on his contribution to real-time computing and to complexity control architecture known as the Simplex architecture, which allows the safe use of difficult or unverifiable complex control software such as DNN. Its principles have been successfully used to improve the stability of advanced avionics systems. Sha and his team also invented the Physically Asynchronous Logically Synchronous (PALS) architecture. Steven P. Miller of Rockwell Collins Inc. demonstrated that using PALS architecture, the model checking time of a dual redundant flight control system dropped from over 35 hours to less than 30 seconds. She and Miller’s team received the 2009 David Lubkowski Award for the Advancement of Digital Avionics from the American Institute of Aeronautics and Astronautics.


Interested candidates should email the following application materials to Prof. Lui Sha (lrs@illinois.edu) and cc Yanbing Mao (hm9062@wayne.edu).
• Research statement summarizing personal objectives and research interests.
• Curriculum Vitae Note: Three references, in the form of letters or contacts, will be requested of finalists.

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The position is always available!