PhD Position in Artificial Intelligence and Machine Learning at Ludwig-Maximilians-Universität München

Ludwig-Maximilians-Universität München (LMU Munich) is offering a fully funded PhD position in Artificial Intelligence (AI) and Machine Learning (ML) at the Institute of Artificial Intelligence in Management, Faculty of Business Administration. The research group, led by Associate Professor Adnene Arbi, focuses on developing, implementing, and evaluating new AI tools to improve decision-making. Applicants can choose between two tracks: Methodological (Causal ML, reinforcement learning, diffusion models, probabilistic ML, LLMs) or Applied (solving major challenges in medicine, sustainability, and business). The group is highly research-driven, publishing in top-tier AI/ML venues such as NeurIPS and ICML, as well as high-impact journals like Nature Communications and Management Science. The environment offers a strong AI ecosystem, including collaboration with the Munich Center for Machine Learning, and opportunities for research stays at leading institutions worldwide (e.g., Cambridge, Princeton, Stanford). The group emphasizes a "research-first" mindset and a supportive, family-like atmosphere. Alumni have gone on to top roles in industry (Meta, BCG), startups (EthonAI, nextesy), and academia (University of Oxford). The position is fully funded (TV-L E13, 100% full-time), with salary and social benefits according to German regulations. No tuition fees are required. Applicants should have a relevant master's degree, strong background in AI/ML, and skills in areas such as causal ML, reinforcement learning, or probabilistic modeling. Proficiency in English and strong analytical and programming skills are expected. The application deadline is January 31, 2026. For more information and to apply, visit the LMU job portal.