Universidad Rey Juan Carlos
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Fully Funded PhD Position in Generative Sampling for Stochastic and Bilevel Optimization Universidad Rey Juan Carlos in Spain
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded PhD position.
Deadline
Oct 31, 2026
Country
Spain
University
Universidad Rey Juan Carlos
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About this position
Fully funded PhD opportunity in Generative Sampling for Stochastic and Bilevel Optimization, with research activity linked to Universidad Rey Juan Carlos (Madrid, Spain) and École Polytechnique (Paris, France).
The post highlights supervision by Prof. Antonio G. Marques and Prof. Luiz F. O. Chamon, within the ELLIS network (ELLIS Madrid / ELLIS Paris). The project sits at the intersection of computer science, mathematics, statistics, and electrical engineering, with emphasis on optimization, probability, linear algebra, and modern ML tooling.
Eligibility: an MSc in EE, CS, applied math, statistics, or physics. Strong skills in optimization theory, probability, and linear algebra are required, together with practical programming experience in Python and PyTorch/JAX.
Funding: the position is explicitly described as fully funded.
Deadline: 31 October 2026.
Interested candidates should apply as soon as possible and ensure they can demonstrate the required quantitative background and coding experience relevant to stochastic optimization and generative methods.
Funding details
Fully funded PhD position.
What's required
Applicants should have an MSc in Electrical Engineering, Computer Science, applied mathematics, statistics, or physics. Strong preparation in optimization, probability, and linear algebra is required, along with Python and PyTorch/JAX skills.
How to apply
Apply now through the opportunity link or application process mentioned in the post. Prepare to demonstrate your MSc background, optimization and probability skills, and programming experience in Python and PyTorch/JAX.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.