Job Opportunities
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Join our team at MCML
Our diverse and collaborative team is comprised of experts from a variety of disciplines, including computer science, mathematics, statistics, and more.
We are committed to fostering a stimulating and supportive environment for our team members, and we strive to provide opportunities for personal and professional growth.
If you are passionate about AI and ML and are looking for an exciting and challenging opportunity, we encourage you to explore the job opportunities available at and around MCML.
Currently we are looking for
Postdoc (m/f/x) in Machine Learning for Scientific Modeling @TUM & Helmholtz Munich
Join Niki Kilbertus’ group and set your own research agenda in ML for scientific modeling. You’ll work across campuses, mentor students, and publish at top ML venues while preparing for your next career step in academia.
PhD (m/f/x) in Machine Learning for Scientific Modeling @TUM & Helmholtz Munich
Join Niki Kilbertus’ group and pursue your own research agenda in ML for scientific modeling. You’ll collaborate across campuses, gain freedom to define projects, and develop as an independent researcher within Munich’s vibrant AI ecosystem.
Professor (m/f/x) in Machine Learning for Sustainable Processes and Materials @TUM
Join TUM Campus Straubing for Biotechnology and Sustainability and lead interdisciplinary research at the interface of data science, life sciences, and bioeconomics. The role includes teaching in BSc/MSc programs, mentoring early-career scientists, and driving data-driven projects on sustainable biological, biotechnological, and agricultural systems.
Science Manager (M/F/D) Third-Party Funding Acquisition @MCML
Join MCML and work closely with leading AI researchers to identify funding opportunities, write and submit project applications, manage funding contracts, and maintain strong networks with funding agencies and research partners.
Student Assistant (m/f/x) at the Computer Vision Group@TUM
Join the team and support research on multimodal agents for autonomous driving by implementing and evaluating a frame-conditioned question-answering system based on DriveLM.
Tenure-Track Lecturer (m/f/x) in Computational Linguistics/NLP @CIS LMU
CIS is looking for a lecturer to teach in our BSc/MSc programs, support academic coordination, and pursue research in NLP. Join Hinrich Schütze’s group and become part of Munich’s active AI community.
Postdoctoral Researcher (m/f/x) in NLP @MaiNLP, CIS LMU Munich
Join Barbara Plank’s MaiNLP lab at CIS, LMU Munich, as a Postdoctoral researcher. Research areas include data-centric AI, robustness, multilinguality, and multimodality in NLP. Full-time (TV-L E13), starting Jan–Apr 2026, initially for one year.