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or similar platforms for version control, code management, and research data archiving. Demonstrated ability to collaborate effectively within interdisciplinary research teams and communicate scientific
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reinforcement learning approaches for autonomous guidewire shaping and control. • Design experiments, validation strategies, and quantitative performance metrics for robotic navigation and wire-shaping systems
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postdoctoral researcher to join the research project STEPCAM (PID2024-157050NB-I00). The successful candidate will investigate the mechanisms controlling the dissolution, precipitation and polymorphic
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robotic manipulation. This role will support our mission to advance AI-driven robotic systems for real-world applications, including human-robot interaction, robotic perception, and intelligent control
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demodulation techniques, and the development of signal-processing methods adapted to new sensing applications. The postdoctoral researcher will work within a multidisciplinary team combining photonics
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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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energy systems and demand response; process and energy system modeling; optimization and model predictive control; and applications of artificial intelligence and machine learning to energy systems
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to access information, technology, and hardware which is subject to European or US export control and sanctions regulations. During the recruitment process, the Agency may request applicants to undergo
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fabrication, cryogenic control electronics, and quantum dot-based quantum information processing. The successful candidate will: • Operate and characterize bilinear arrays of semiconductor quantum dot qubits in
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photonic circuits for optical processing, routing, switching, and modulation functionalities. Develop and experimentally validate photonic architectures based on phase control, amplitude modulation, optical