Apply to do your Ph.D. in our joint academic program between ETH Zurich,
Switzerland and the Max Planck Society, primarily the Max Planck Institute for
Intelligent Systems in Stuttgart / Tuebingen, Germany. We are currently
accepting applications to join our program in 2024.
In our fully-funded doctoral fellowship program, Ph.D. students are
co-supervised by one advisor from ETH Zurich and one from the Max Planck
Society, primarily the Max Planck Institute for Intelligent Systems (Stuttgart
/ Tuebingen, Germany). All Ph.D. fellows will register as graduate students at
ETH Zurich and, upon successful completion of their Ph.D. project, will be
granted a doctoral degree by ETH.
Applicants must hold or expect to obtain an excellent degree at Masters level
in a relevant subject and should have a strong interest in basic research in
areas such as:
Bio-inspired / Bio-hybrid Robotics, Causal Inference, Computational Biology,
Computer Graphics, Computer Vision, Control Systems, Digital Humans, Earth
Observation, Haptics, Human-Computer Interaction, Human-Robot Interaction,
Imaging Technology, Machine Learning, Medical Informatics, Micro- and
Nano-Robotics, Natural Language Processing , Neuroinformatics, Optimization,
Perceptual Inference, Probabilistic Models, Reinforcement Learning, Robotics,
Security and Privacy, Social Questions, Soft Robotics, Statistical Learning
Theory.
Faculty participating in this call include:
Afonso Bandeira, Antonio Orvieto, Bernhard Schoelkopf, Bernt Schiele, Celestine
Mendler-Duenner, Christian Holz, Christoph Keplinger, David Steurer, Fisher Yu,
Florian Tramer, Florian Doerfler, John Lygeros, Jonas Geiping, Konrad
Schindler, Marc Pollefeys, Michael Muehlebach, Moritz Hardt, Mrinmaya Sachan,
Niao He, Robert Katzschmann, Ryan Cotterell, Samira Samadi, Siyu Tang, Thomas
Hofmann, Wieland Brendel.
We value diversity at our institutions. Anyone – of any gender identity,
nationality or background - who meets our academic requirements is encouraged
to apply. We seek to increase the number of women in areas where they are
underrepresented, so we explicitly encourage women to apply.
Apply via our online application portal at
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Flearning-systems.org%2Fapply&data=05%7C01%7Cuai%40engr.orst.edu%7Cc343ae2e2fbb4d2ae50608dbc96100f1%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638325190693720262%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=fbH0OPINw7WnNZ4ObLEpK5ik285NbqG5vrBj%2FxtZHkQ%3D&reserved=0.
Deadline for the application: midnight (23:59 CET) on November 15, 2023.
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