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projects focused on optimization, data analytics, and control of power distribution systems. This position offers the opportunity to collaborate closely with utility company partners and national
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-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy
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developing optimization-driven approaches to multimodal device tailoring. We are looking for someone with A PhD in Human-Computer Interaction or a closely related field Strong programming skills (e.g., Python
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device-relevant properties Design active learning, Bayesian optimization, uncertainty-aware modeling, and other adaptive experimental design workflows to guide experiments and improve data efficiency in
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, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations. The second position will focus primarily on the geometric representation of complex data
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, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be
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motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include: Robot modelling, Nonlinear and Optimal control
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of the institutes with earliest efforts in bioinformatics with one of the earliest PhD bioinformatics programs in the country in 2003. BCMG is a basic science department in College of Medicine at UIC, where faculty
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, characterization, model extraction and apply device model in the circuit design; Circuit design optimization; Using Cadence for circuit design and ADS for RF circuit design; Circuit implementation and