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facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in
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. • Electric drive automation. • Matlab. • Artificial intelligence methods. • Computer-aided design of control systems. • Programmable logic controllers. - conducting scientific research in the field
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, and climate projections depends critically on the adequate representation of land-atmosphere (L-A) feedbacks. These feedbacks are the result of a highly complex network of processes and variables
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environmental monitoring instruments, sensors, wearable devices, or related equipment. Have experience in data processing, quality assurance and quality control, and statistical analysis using R or similar tools
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fellow devotes most of their time to research. There is the possibility of teaching up to 20%. Requirements PhD degree in machine learning, automatic control, system identification, signal processing
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply
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-time robotic control and AI pipelines. You will design and tune control algorithms to ensure precise, stable, and safe remote robotic operation under communication constraints. You will develop and
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* Doctoral degree in Kinesiology, Psychology, Computer Science, Biomechanical Engineering, or a related field. A high degree of proficiency using R, Python, and/or Matlab to process and analyze time-series
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, contribute to the design and analysis of intervention studies including randomised controlled trials, and translate complex findings into outputs that inform clinical practice and prevention strategies
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Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 30/03/2026 ▲ Collapse Job Title: Research Fellow (Power Electronics) University-Level Unit: College of Design and Engineering