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involve algorithm development, simulation, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in Mechanical Engineering, Automation, Control
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highly motivated and technically proficient Research Fellow in Control and Embedded Systems Engineering to support the development and deployment of intelligent, safety-enhanced BMS technologies within a
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Job Description The Opportunity The Advanced Dynamics and Control Laboratory in the College of Engineering at Embry-Riddle Aeronautical University invites applications for a Postdoctoral Researcher
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, incorporating electronic, thermo-fluid models, and efficiency models (ii) BMS-BTMS operation policy design, which will be based on optimal control techniques and will focus on both electric power
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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have a PhD Degree in Mechanical Engineering, Automation, Control Engineering, Mechatronics, etc. Strong background in path planning and decision-making. Candidates having relevant research or working
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collaboration with IHL and an industry partner. where you will be part of the research team to develop and demonstrate Building-to-Grid Integration through Intelligent Optimization and Predictive Control at SIT’s
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The School of Art Design and Media (ADM) in collaboration with the Robotics Research Centre 2 (RRC2) at the School of Mechanical and Aerospace Engineering (MAE) invites suitable applications
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work with the Process Control Group in the School of Chemical Engineering. This role reports to Professor Jie Bao and has no direct reports. Salary, Level A - $91,381 - $121,838 per annum + 17
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 hours ago
&PEWER_Level B_Research Fellow_CSS_2025.pdf We invite applications to join the Control, Information, Intelligence, Communications, Automation, Decision, and Autonomy (CIICADA) Lab where we explore innovative