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for Robotic and Autonomous Perception This project aims to make robotic perception systems safer and more reliable by developing new techniques that continuously monitor the performance of their machine
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Our project is to develop a unified framework to conduct physical adversarial attacks and defences with a novel
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. By integrating cutting-edge multi-agent systems, federated learning, and game theory, this project will develop sophisticated decentralised algorithms that enable autonomous vehicles (AVs
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-modal data. * Develop and implement algorithms to process, clean, and transform large datasets to support research objectives. * Conduct exploratory data analysis, hypothesis testing, and develop data
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development (for example, cultural change, as well as environmental conservation, political participation, gender, bureaucracy etc.). The position involves a variety of tasks that provide excellent preparation
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on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs
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Status: Exempt ---- Earliest Start Date: Immediately ---- Position Duration: Expected to Continue ---- Location: PICKLE RESEARCH CAMPUS ---- Job Details: Purpose Design, develop, test, document and
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such as textiles. 2. Proven ability to develop and implement advanced motion-planning algorithms and real-time control schemes, ideally demonstrated through digital-twin simulations and hardware-in-the-loop
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Job Posting Title: Software Development Associate ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt
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data elements. This work also includes documentation, quality control and the development of analytic data sets. 20% Oversee design and maintenance of maintain a Redcap database to support multi-site