The International Max Planck Research School for Intelligent Systems (IMPRS-IS) is now accepting applications for its doctoral program. 🌍✨ Join our elite program to conduct doctoral research in machine learning, robotics, HCI, computer vision, and related fields. IMPRS-IS is a collaboration between the Max Planck Institute for Intelligent Systems, the University of Stuttgart, and the University of Tübingen. 📅 Application deadline: November 15, 2026 🔗 Apply here: https://lnkd.in/dcVyK2b
Max-Planck-Institut für Intelligente Systeme
Forschungsdienstleistungen
Stuttgart, Baden-Württemberg 56.780 Follower:innen
Perception - Action - Learning
Info
Unser Ziel ist es, die Prinzipien von Wahrnehmen, Lernen und Handeln in autonomen Systemen zu verstehen, die mit komplexen Umgebungen interagieren. Das Verständnis wollen wir nutzen, um künstliche intelligente Systeme zu entwickeln. Die Wissenschaftlerinnen und Wissenschaftler am Max-Planck-Institut für Intelligente Systeme erforschen diese Prinzipien in biologischen, hybriden und Computer-Systemen sowie in Materialien.
- Website
-
https://is.mpg.de/social-policy
Externer Link zu Max-Planck-Institut für Intelligente Systeme
- Branche
- Forschungsdienstleistungen
- Größe
- 501–1.000 Beschäftigte
- Hauptsitz
- Stuttgart, Baden-Württemberg
- Art
- Bildungseinrichtung
- Gegründet
- 2011
- Spezialgebiete
- Machine Learning, Computer Vision, Humanoid Robotics, Robotics, human-robot interaction, medical robotics, AI, Künstliche Intelligenz, Haptic Intelligence, Physical Intelligence und Empirical Inference
Orte
-
Primär
Wegbeschreibung
Heisenbergstraße 3
Stuttgart, Baden-Württemberg 70569, DE
-
Wegbeschreibung
Max-Planck-Ring 4
Tübingen, Baden-Württemberg 72076, DE
Beschäftigte von Max-Planck-Institut für Intelligente Systeme
Updates
-
Max-Planck-Institut für Intelligente Systeme hat dies direkt geteilt
Yesterday, our Frontier AI Innovation Summit was kicked off with opening addresses by Dorothee Bär Federal Minister for Research, Technology and Space (video message), Petra Olschowski, Minister for Science, Research and the Arts of the State of Baden-Württemberg, and Karla Pollmann, President of the Eberhard Karls Universität Tübingen. Raia Hadsell Vice President of Google DeepMind, delivered an inspiring keynote on Modeling Dynamic Worlds. Stay tuned, more to come! (Photo credit: Tübingen AI Center / Nino Strauch.) Cyber Valley, Max-Planck-Institut für Intelligente Systeme, Eberhard Karls Universität Tübingen, ELIAS - European Lighthouse of AI for Sustainability, Bundesministerium für Forschung, Technologie und Raumfahrt, Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg. ELLIS Institute Tübingen BIFOLD - Berlin Institute for the Foundations of Learning and Data, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Munich Center for Machine Learning, ScaDS.AI Dresden/Leipzig, Lamarr-Institut
-
-
-
-
-
+3
-
-
A few weeks ago, we wrapped up the Machine Learning Summer School MLSS 2026 in Tübingen. We were extremely proud to host so many top researchers in the field of Machine Learning, AI Safety and Responsible AI, Causality, Learning Theory, LLMs and many more: from Turing Award winners to OpenAI employees, Professors from top-notch universities - we had them all. The talks connected the mathematical foundations of ML with a central question: How do we build AI systems that are more capable, reliable, and useful? The MLSS 2026 lectures are now up on the MPI-IS-Youtube channel. You will find talks by Bernhard Schölkopf, Yoshua Bengio, Yarin Gal, Jonas Geiping, Maksym Andriushchenko, Jonas Peters, Arthur Gretton, Matthew Blaschko, Lampert, Alex Smola, Philipp Hennig, Frank Hutter, Mario Krenn, Suvrit Sra, Olivier Bousquet, Isabel Valera, Roger Grosse, Zhijing Jin, Francesco Locatello, Giambattista Parascandolo, Ulrike von Luxburg and Kun Zhang. https://lnkd.in/dsi8Ngt4 #MLSS2026 #MachineLearning #ArtificialIntelligence #AI #CausalInference #Causality #AIResearch #Tübingen
-
We were delighted to have Prof. Peter Middendorf, Rector of the University of Stuttgart, give a Max Planck Lecture on our Stuttgart campus today. We really liked the talk title: “University of Stuttgart – (no) rocket science!” 🚀 Prof. Middendorf presented the research profile of the University, highlighting its interdisciplinary approach and selected areas of research. A particular focus was placed on aerospace technologies, one of the University’s important research profile areas and a field in which the University has a long-standing and strong research tradition. Drawing on his own scientific background in aircraft design, Prof. Middendorf provided insights into current research addressing key challenges in aviation. Selected examples from eco-efficient aviation and lightweight design will illustrate how research at the interface of different disciplines can contribute to sustainable and innovative solutions for future mobility. Max-Planck Institute for Solid State Research, Stuttgart, Germany
-
-
Max-Planck-Institut für Intelligente Systeme hat dies direkt geteilt
The Max Planck Artificial Intelligence Network (MP-AIX) is now accepting applications for the second cohort of its doctoral program! 🌍✨ Join MP-AIX and conduct cutting-edge, curiosity-driven doctoral research at the interface of: 🤖 AI/ML + ⚛️ [Application Area X] = 🎆 AI+X Become part of the Max Planck Society (MPS), an independent association of German research institutes and a global leader in fundamental research across the natural sciences, life sciences, and humanities. As an MP-AIX doctoral researcher, you will: ✨ be jointly supervised by experts in AI/ML and a scientific application area X with a minimum stay of six months at each site ✨ get a fully funded PhD position ✨ benefit from a structured program with career development, networking, and interdisciplinary training opportunities Max Planck Artificial Intelligence Network is an MPS Initiative and collaborates with ELLIS, the European Laboratory for Learning and Intelligent Systems. 📅 Application deadline: October 31, 2026 🔗 Application link in comments #DoctoralProgram #Research #MachineLearning #ArtificialIntelligence #MaxPlanckSociety #MPAIX #ELLIS
-
AI learns from us - but what do we humans learn from the AI? That is the topic of a presentation our doctoral student Tom Sühr will hold on October 21 at 6pm in our new Max Planck House in Tübingen. He is the first speaker in a series of talks our neighboring Max Planck Institute for Biological Cybernetics organises. Find out more about "EinBlick" here: https://lnkd.in/d8pUmMhX Please note the language spoken is German. Plus you need to register, as limited seats are available in our lecture hall. Tom is a researcher in our Human Aspects of Machine Learning Group and will focus on (continuing in German): "Die KI lernt von uns – aber was genau lernen wir von ihr?" Wie wir mit unseren Entscheidungen einer KI beibringen, gute Antworten zu geben. A oder B? Genau aus solchen Entscheidungen lernen KI-Systeme, was eine „gute" Antwort ist. Doch wir Menschen urteilen oft wie beim Pilzesammeln im Wald: Wir greifen nach dem, was auf den ersten Blick am prächtigsten aussieht. Selten nehmen wir uns die Zeit, in Ruhe nachzuprüfen, was wirklich drinsteckt. Die KI merkt sich das und serviert uns immer größere, glänzendere Portionen — ob der Inhalt nun besser wird oder nicht. Dieser Vortrag folgt der Spur vom schnellen Urteil und fragt, wie wir genauer hinschauen können. Wir, ein Team aus Wissenschaftler*innen der Abteilung für Social Foundations of Computation am Max-Planck-Institut für Intelligente Systeme, untersuchen, wie Menschen verschiedene KI-Antworten wahrnehmen und bewerten. Probiert es selbst aus: auf https://comparity.ai/ könnt Ihr kostenlos mit den besten KI-Systemen chatten und entscheiden, welches euch am besten gefällt.
“EinBlick – Research Made Understandable,” a series organized by the Max Planck Institutes in Tübingen, kicks off this fall with two presentations on Artificial Intelligence, and will subsequently focus on modern imaging in the neurosciences, the early detection of mental health disorders in adolescents using a smartphone app, biologically inspired robotics, and the origins of genetic diversity. The free, German-language event will take place monthly starting October 21 at 6:00 p.m. in the lecture hall of the Max Planck House on the Max Planck Campus in Tübingen. Registration is now open. But be quick, seats are limited.
-
Congratulations Siyeon Jang!
🎓 Congratulations Siyeon Jang, CLS doctoral fellow, for successfully defending your PhD! 🎉 👏 Siyeon joined CLS having completed her Masters in Nano Science and Technology, Sungkyunkwan University, Suwon, Republic of Korea. Her research lies at the intersection of soft robotics and precision medicine, with a focus on developing next-generation small-scale robotic systems (mm-cm scale) for gastrointestinal (GI) healthcare. Siyeon was supervised by Metin Sitti and Mehmet Fatih Yanik and defended her doctorate at ETH Zurich, Department of Information Technology and Electrical Engineering. During her PhD, Siyeon addressed the problem of achieving sharp spatiotemporal control over where and when a drug act remains the central obstacle to effective locoregional cancer therapy. She developed an orally administrable soft microrobot that actively targets and grasps GI tumors and generates a copper-rich electrochemical interface with the tumor microenvironment, driving dense local accumulation of Cu²⁺ ions and inducing cuproptotic cell death with tumor penetration far beyond that of passive diffusion. She then extended this platform toward adaptive theranostics, using impedance-based sensing to read tissue state in situ so that therapy could be tuned to the lesion's response. Siyeon has contributed to several publications, notably a co-authored paper in Science Advances (https://lnkd.in/geDmRZ8i). She is an expert in the fabrication and characterization of nano-/micro-structured materials and devices and is passionate about translating complex engineering solutions into robust clinical applications for oncological and inflammatory conditions. Siyeon comments: "CLS gave me the rare opportunity to work across two internationally leading groups, at MPI-IS and ETH Zurich, and to learn what truly interdisciplinary research demands. At MPI-IS, I learned to design small-scale medical robots around the principle of physical intelligence, where material properties, geometry, and interactions with the surrounding environment become design resources rather than constraints. At ETH Zurich, I worked on the electrical interface between a device and living tissue, developing impedance-based sensing that reads the state of a lesion in situ and turns that signal into a basis for adapting treatment. Learning to move between these two perspectives shaped how I approach targeted therapy in the gut". "My PhD was the greatest journey of my life, not only for its research outcomes but for how it reshaped my outlook on life. Moving to the other side of the world, I faced cultural differences I had never imagined, and there were long, difficult stretches along the way. What carried me through were the many people who supported me, and I am deeply grateful to each of them. Next, I hope to keep bridging deep technology and real-world impact, whether in research, industry, or intellectual property."
-
-
🎉🥂🎓 Congratulations to Andria Smith on successfully defending her Ph.D. thesis! 🎓 🎉 "My research asks a simple question with complicated roots: why do the same people keep reaching leadership, and how do the small moments of recognition early on decide that? I traced how bias forms from the very first signals we read in each other, from the front door to the top floor, and modeled where it can potentially be interrupted through allyship interventions. My hope is that this work lives beyond the pages of my dissertation, helping build workplaces where more people are seen, valued, and able to rise into leadership." Andria began her doctoral journey in 2022. Advised by Dr. Ksenia Keplinger and Prof. Charley Wu, her research combined organizational theory with agent-based simulation to study how bias emerges in teams and shapes who rises into leadership, with the goal of helping organizations build more inclusive, higher-performing workplaces. Before her doctorate, she spent several years in international project management, leading cross-border teams across engineering, procurement, and operations and coordinating complex projects for global clients. She earned a BSc in Civil Engineering from the Rose-Hulman Institute of Technology (USA) and an MSc in Environmental & Resource Management from Brandenburgische Technische Universität Cottbus-Senftenberg. Originally from the United States and based in Germany, she is the daughter of Dr. Linnette White, whose own path to a doctorate later in life first showed her it was possible. As Smith puts it: "She blazed a trail so that I could run."
-
-
🚀 What an incredible 2026 IMPRS-IS Boot Camp! Over 250 scientists from our community came together for three days of learning, discussion, networking, and inspiration in this truly one-of-a-kind experience. This year’s Boot Camp featured an exciting program, including: 🎤 A keynote by Professor Andreas Geiger 💬 A special talk on power abuse in academia 🔬 A panel discussion on commercializing research 🤝 Plenty of opportunities to connect, exchange ideas, and build new collaborations A huge thank you to all our speakers, organizers, and participants for making this year’s boot camp such a memorable experience! 🙌 And don't forget -- applications for the IMPRS-IS doctoral drogram are now open. If you’re interested in becoming part of our scientific community and joining events like this in the future, we’d love to hear from you. 👉 Apply now: https://lnkd.in/dcVyK2b
-
Congratulations Mertcan Han!
🎓Congratulations Mertcan Han, CLS associate doctoral fellow for successfully defending your thesis! 🎉 During his PhD, Mertcan developed ultrasound-powered, injectable piezoelectric microparticles for wireless neural and cardiac stimulation. These cell-sized particles are powered remotely by focused ultrasound and act as wireless microelectrodes, delivering targeted electrical stimulation without implanted hardware. The goal is to offer a less invasive alternative to the surgery and rigid, metallic electrodes that current electrical-stimulation therapies rely on, pointing toward a softer, injectable future for bioelectronic medicine. Mertcan’s work resulted in publications including a first- author paper in Nature Communications: https://lnkd.in/ezZ8xYby. Prior to joining the Max Planck Institute for Intelligent Systems, Mertcan Han received a Bachelor's degree in Electrical and Electronics Engineering from Bilkent University, Ankara, and his Master's degree in Electrical and Electronics Engineering from Koç University, Istanbul. Mertcan's PhD was supervised by Metin Sitti and Daniel Razansky and he defended his doctorate at ETH Zurich, Department of Information Technology and Electrical Engineering.
-