Max Planck Institute for Intelligent Systems
Funded Ph.D. Positions at the Max Planck ETH Center for Learning Systems
Max Planck Institute for Intelligent Systems, Germantown, Ohio, United States
Organisation/Company Max Planck Institute for Intelligent Systems Research Field Computer science Engineering Mathematics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 5 Nov 2025 - 23:59 (Europe/Brussels) Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description Apply to do your Ph.D. in our joint academic program between ETH Zurich, Switzerland and the Max Planck Society, Germany. We are currently accepting applications to join our program in 2026.
In our highly competitive CLS doctoral training program, fellows are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Stuttgart / Tübingen, the MPI for Informatics in Saarbrücken or the ELLIS Institute Tübingen. Each CLS fellow has a primary location (chosen based on interests and match) and conducts a mandatory 12-month exchange at the other location. All CLS Ph.D. fellows register as graduate students at ETH Zurich and , upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. Fellowships are fully funded. The program language is English. Applicants should have a strong interest in doing basic research in areas such as:
Bio-inspired /Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Graph Representation Learning, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Perceptual Inference, Probabilistic Models, Reinforcement Learning, Robotics, Safety, Security and Privacy, Scientific Machine Learning, Smart Materials, Social Questions, Soft Robotics, Statistical Learning Theory, Visual Analytics.
Submit your application through our online application portal. The application deadline is midnight (23:59 CET) on November 05, 2025. For further information about our selection process, visit https://learning-systems.org/apply .
Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject and must be enthusiastic about spending an exchange year during the Ph.D. at the location of their co-advisor.
Specific Requirements
The program language is English. Excellent written and spoken English is essential.
Languages ENGLISH Level Excellent
Additional Information The highly competitive fellowship program offers a wide range of activities including retreats and workshops. Fellowships will be fully remunerated through employment contracts with the hiring institution.
Eligibility criteria
We value diversity at our institutions. If you feel that you meet our requirements, we encourage you to apply.
Selection process
Submit your application through our online application portal. The application deadline is midnight (23:59 CET) on November 05, 2025. For further information about our selection process, please visit: https://learningsystems.org /apply
Number of offers available 4 Company/Institute Max Planck Institute for Intelligent Systems Country Germany City Tübingen Postal Code 72076 Street Max-Planck-Ring 4 Geofield
Number of offers available 4 Company/Institute Max Planck Institute for Intelligent Systems Country Germany City Stuttgart Postal Code 70569 Street Heisenbergstr. 3 Geofield
#J-18808-Ljbffr
Offer Description Apply to do your Ph.D. in our joint academic program between ETH Zurich, Switzerland and the Max Planck Society, Germany. We are currently accepting applications to join our program in 2026.
In our highly competitive CLS doctoral training program, fellows are co-supervised by one advisor from ETH Zurich and one from the MPI for Intelligent Systems in Stuttgart / Tübingen, the MPI for Informatics in Saarbrücken or the ELLIS Institute Tübingen. Each CLS fellow has a primary location (chosen based on interests and match) and conducts a mandatory 12-month exchange at the other location. All CLS Ph.D. fellows register as graduate students at ETH Zurich and , upon successful completion of their Ph.D. project, will be granted a doctoral degree by ETH. Fellowships are fully funded. The program language is English. Applicants should have a strong interest in doing basic research in areas such as:
Bio-inspired /Bio-hybrid Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep Learning, Digital Humans, Earth Observation, Educational Technology, Efficient AI, Explainable AI, Graph Representation Learning, Haptics, Human-Computer Interaction, Human-Robot Interaction, Imaging Technology, Machine Learning, Medical Informatics, Medical Robotics, Natural Language Processing, Neuroinformatics, Optimization, Perceptual Inference, Probabilistic Models, Reinforcement Learning, Robotics, Safety, Security and Privacy, Scientific Machine Learning, Smart Materials, Social Questions, Soft Robotics, Statistical Learning Theory, Visual Analytics.
Submit your application through our online application portal. The application deadline is midnight (23:59 CET) on November 05, 2025. For further information about our selection process, visit https://learning-systems.org/apply .
Applicants must hold or expect to hold an excellent degree at Masters level in a relevant subject and must be enthusiastic about spending an exchange year during the Ph.D. at the location of their co-advisor.
Specific Requirements
The program language is English. Excellent written and spoken English is essential.
Languages ENGLISH Level Excellent
Additional Information The highly competitive fellowship program offers a wide range of activities including retreats and workshops. Fellowships will be fully remunerated through employment contracts with the hiring institution.
Eligibility criteria
We value diversity at our institutions. If you feel that you meet our requirements, we encourage you to apply.
Selection process
Submit your application through our online application portal. The application deadline is midnight (23:59 CET) on November 05, 2025. For further information about our selection process, please visit: https://learningsystems.org /apply
Number of offers available 4 Company/Institute Max Planck Institute for Intelligent Systems Country Germany City Tübingen Postal Code 72076 Street Max-Planck-Ring 4 Geofield
Number of offers available 4 Company/Institute Max Planck Institute for Intelligent Systems Country Germany City Stuttgart Postal Code 70569 Street Heisenbergstr. 3 Geofield
#J-18808-Ljbffr