PhD Position in Explainable AI and Bayesian Deep Learning at Universidad Autónoma de Madrid

This PhD position at the Machine Learning Group (GAA) at Universidad Autónoma de Madrid focuses on cutting-edge research in explainable AI, Bayesian deep learning, uncertainty quantification, and scalable kernel methods. The project emphasizes practical impact through applications in healthcare and renewable energy forecasting. Applicants will collaborate with internationally recognized researchers, access state-of-the-art infrastructure, and engage in international research collaborations. The position is fully funded under Spain’s FPI program, offering a competitive salary and opportunities for research stays abroad.

• Conduct original research in explainable AI, Bayesian deep learning, and uncertainty quantification, with applications in healthcare and renewable energy.
• Develop and implement scalable machine learning models using Python and PyTorch, focusing on real-world problem-solving.
• Publish research findings in top-tier international conferences and journals, ensuring high academic impact.
• Collaborate with international research groups and participate in conferences, summer schools, and workshops.
• Utilize state-of-the-art computing infrastructure to advance research projects and analyze large datasets.
• Engage in international research stays to broaden interdisciplinary collaboration and knowledge exchange.