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Position Summary The successful candidate will work on cutting-edge research at the intersection of vehicle dynamics, control theory, and AI-enabled autonomy , with a focus on real-world deployment
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mobile robotic control systems Collaborating on development and implement estimation algorithms for time and frequency estimation Integrate estimation and control algorithms into various experimental
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power control of second-life batteries. The successful candidate will work with Dr. Huazhen Fang and other collaborators. The research aims to advance the technologies needed to repurpose retired electric
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interested in advancing management strategies and disease prevention and control in dairy cattle populations. Applicants with expertise in complementary disciplines (e.g., computer vision, AI
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-engineering skills, including experience with Fortran and Python and, preferably, C or C++, APIs, dynamic-link libraries, version control, Linux environments, and high-performance computing. The candidate
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, statistics, or a related field. Minimum Requirements Experience using chlorophyll fluorescence using PAM fluorometry, data analysis using mathematical models, and comfort with coding to control custom
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data; conduct quality assurance and quality control; and analyze and interpret monitoring datasets. Additional responsibilities may include field sample collection, development of monitoring
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Position Summary Development of methods using light to control molecular parameters of polymer structure, including dispersity, tacticity, and co-monomer sequence. Characterizing polymer structure
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mechanics, control theory and Energy Harvesting. 3. Hands-on lab experience: DIC, universal testers, accelerometers, shaker tables, vibration instrumentation. 4. Advanced/ deeper knowledge of machine
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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux