Deep Learning Researcher for Multi-Agent Systems

Há 10 horas


Porto, Porto, Portugal Cnrs, Centralesupelec Tempo inteiro

About the Company: CentraleSupélec, a world-renowned academic institution, is seeking a highly skilled researcher to contribute to its cutting-edge projects in control engineering and mathematics.

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Salary: The successful candidate can expect a gross monthly salary of approximately €3250, based on experience, with a possibility of extension up to 12 months.

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About the Job: We are looking for a talented researcher to develop deep learning-based surrogate models for efficient approximation and control of multi-agent systems. The ideal candidate will have expertise in scientific machine learning, reinforcement learning, and control theory, as well as experience in publishing high-quality research papers.

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Key Responsibilities:

  • Develop deep learning-based surrogate models for complex multi-agent systems
  • Apply techniques rooted in physics to integrate governing equations into neural networks
  • Collaborate with experts in control theory and mathematics to achieve accurate and scalable MAS simulations
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Requirements: PhD in applied math or computer science, excellent English language skills, and strong publication record in top-tier conferences and journals. Experience with libraries such as PyTorch, TensorFlow, Keras, or JAX is essential.

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What We Offer: A unique opportunity to work on innovative projects, collaborate with renowned researchers, and publish high-impact papers. Our team is passionate about creating a positive and inclusive work environment that fosters growth and development.



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