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10 Apr 2026 Job Information Organisation/Company CFM-Centro de Física de Materiales/MPC-Materials Physics Center Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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on the combination of Reinforcement Learning (RL) and Model Predictive Control (MPC). It will build up upon the work done at ITK on the topic. Several research focuses are considered: verification pathways in RLMPC
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CSU, Monterey Bay degree. For more information about Monterey Peninsula College and the communities it serves, refer to the following link. About MPC and the Local Communities To apply, visit https
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, Electrical Engineering, Aerospace Engineering, or a related field. Control Theory: Strong theoretical and practical background in control systems, including PID, LQR, MPC, or adaptive control. Robotics
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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, visit https://www.schooljobs.com/careers/mpc/jobs/5289535/professional-expert-student-services-graduate-intern Copyright 2025 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added
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(MPC) and Reinforcement Learning (RL) have proven effective in isolated studies, their widespread deployment is hindered by the lack of interoperability, the high cost of model creation, and data
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accepted all year round Details Dynamic optimization is integral to many aspects of science and engineering, commonly found in trajectory optimization, optimal control (e.g. model predictive control, MPC
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
are the following: This grant aims to benchmark deep learning-based CAD-Free RGB(D) pose estimation methods for spacecraft applications (2 grants) This grant aims to develop robust MPC strategies based on two player