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Sebastien Gros

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Two PhD Positions in Reinforcement Learning, Model Predictive Control, and Predictive Maintenance at NTNU Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Norway

University

Norwegian Institute of Science and Technology

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Industrial Engineering
Wind Energy
Reinforcement Learning
Cybernetics
Model Predictive Control
Robotics

About this position

Professor Sebastien Gros at the Norwegian University of Science and Technology (NTNU) is advertising two PhD positions in his group.

The first project is on the combination of Reinforcement Learning and Model Predictive Control (MPC). The second project focuses on holistic predictive maintenance, with a specific vacancy titled PhD Candidate in Integrated Predictive Maintenance in Wind Energy. Both positions are described as being closely connected to industry and embedded in large research initiatives, offering a strong supervision environment and opportunities for collaboration.

These openings are suitable for candidates interested in computer science, electrical engineering, mechanical engineering, industrial engineering, and robotics, especially those with interests in control, optimization, machine learning, and data-driven maintenance for energy systems.

The post does not mention funding amounts, tuition, or a deadline in the text provided, but it clearly indicates that these are official PhD vacancies at NTNU. Interested applicants should follow the linked Jobbnorge pages for the detailed requirements and application instructions.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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