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Field
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University Abu Dhabi invites applicants to apply for the open Post-doctoral Associate position to perform primarily research on Reinforcement Learning, and/or Optimal Control, and/or Model Predictive Control
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theory, modeling, and AI-assisted optimization activities within the consortium. Reporting and dissemination of the results. Share this opening! Use the following URL: https://jobs.icfo.eu/?detail=1074
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of neuronal and vascular responses; Contribute to the instrumental optimization of the imaging system (detector configuration, illumination control, multi-camera synchronization); Analyze and interpret
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++) for microcontrollers, as well as familiarity with automation tools (e.g., LabVIEW, PLC) and version control systems (e.g., Git). Additionally, they should showcase experience in prototyping, debugging, and testing
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improved in several stages and continues to evolve. It will therefore be a question of carrying out the necessary technical upgrades and optimizing (fine-tuning) the different characterizations on reference
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, the laboratory engages with the economic world and various scientific areas across a wide array of applications: fluid dynamics ; theoretical physics, mechanics and chemistry ; control, optimization and finance
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groundbreaking research. The project is devoted to learning-based control for high-dimensional data. Application to individually optimized immunotherapy for cancer will also be considered. The grant covers two
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. They should demonstrate hands-on experience in embedded programming (C/C++) for microcontrollers, as well as familiarity with automation tools (e.g., LabVIEW, PLC) and version control systems (e.g., Git
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Science, or a related field. In-depth research experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive
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into model-predictive control (MPC) or reinforcement learning (RL) frameworks to compute optimal exoskeleton assistance in real time. Validating the developed methods in human experiments using motion capture