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Field
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Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
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contact the NRC Hiring team using the contact information below. The role We are looking for a Research Officer (RO) with experience in a variety of accelerated process optimization aspects to be
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part of a new lab at the Delft Center for Systems and Control, supervised by Gabriel de Albuquerque Gleizer. The research will allow you to gain deep insights across nonlinear dynamics, optimization, and
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operational control strategies for circular CEA systems. Together, the two projects will establish the modelling and optimization foundations for future circular greenhouse and vertical farming systems. Your
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optimization aspects to be at the forefront of our accelerated material discovery/process optimization platforms at the NRC Research Facility in Mississauga. The selected candidate would be someone who shares
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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University and involves close collaboration with Landsnet, Landsvirkjun, and international partners. The candidate will work at the intersection of power systems, energy modeling, optimization, and sustainable
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. The state-of-the-art approaches in optimal climate control of greenhouses are based on implementing economic objective functions exploiting a time scale decomposition between short-term climate control/energy
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enzymes and can be engineered to generate reactive oxygen species (ROS) locally and in a controlled manner. The position is within the Marie Skłodowska-Curie Doctoral Network Implant-to-Market (i2M
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
. The goal is to develop a novel integrated quadruped design, by adopting a whole-body co-design approach, jointly optimizing mechanical architecture, actuation systems, and control policy. The thesis will be