PhD Position in Bayesian Optimization at UAM Spain

PhD position available at Universidad Autónoma de Madrid for developing new Bayesian optimization methods with a monthly salary of 2000 euros.

A PhD position is available at Universidad Autónoma de Madrid, Spain, focusing on developing new methods for Bayesian optimization under the supervision of Daniel Hernández-Lobato, Associate Professor at Escuela Politécnica Superior (EPS).

Bayesian optimization applies AI and ML techniques to complex optimization problems where the objective function is expensive to evaluate and may be noisy. Potential applications include tuning ML algorithm hyper-parameters, discovering new materials, and developing new drugs.

• Monthly gross salary: 2000 euros for a minimum of 3 years.
• Approximate starting date: October 2025.

For more information, contact daniel.hernandez@uam.es. Visit Daniel Hernández-Lobato’s webpage and Google Scholar page for further details.

Tags: Bayesian optimization, PhD position, Machine Learning, Artificial Intelligence, UAM Spain