PhD position at the Machine Learning Group at Universidad Autónoma de Madrid

We have an opening for an FPI PhD position in our group (http://arantxa.ii.uam.es/~gaa/) focusing on the research lines of the aforementioned project. Research topics include, among others: explainable AI, Bayesian deep learning and uncertainty quantification, scalable kernel methods, and functional data analysis. The project also emphasizes real-world impact through applications in healthcare and renewable energy forecasting.
Approximate starting date: Feb. 2027.

If you are interested or would like to get more information about the position, please write back to daniel.hernandez@uam.eswith your CV and academic transcripts before Oct. 18, 2026.

We are looking for highly motivated applicants with:
A Master's degree (or equivalent) in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, Physics, Telecommunications Engineering, or a related field.
Strong programming skills (preferably Python and PyTorch).
Solid background in machine learning, optimization, probability, or statistics.
Good written and spoken English.
Interest in conducting cutting-edge research and publishing at top-tier international conferences and journals
What we offer:
A fully funded 4-year PhD position via the Spanish FPI program in one of Spain's leading AI research groups.
Supervision by internationally recognized researchers in machine learning.
Access to state-of-the-art computing infrastructure.
Opportunities for international research stays and collaborations with leading research groups.
Participation in top machine learning conferences, summer schools, and research workshops.
A vibrant research environment within the Machine Learning Group (GAA) at UAM.
Salary: approximately 24,000 euros per year, for 4 years, plus funding for research stays.