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PostDoc positions in Inference

  • Tübingen

The newly established Physics for Inference and Optimization Group, headed by Caterina De Bacco, within the Cyber Valley at the Max Planck Institute for Intelligent Systems in Tübingen is looking for a PostDoc scientist in the area of machine learning, particularly in inference, starting early 2019. Our research aims to build general and flexible models at the interface between Statistical Physics and Computer Science to study application-oriented problems that involve experts from different disciplines. More specifically, we aim to develop models and methodologies to: • perform inference on locally interacting systems, systems where individual entities interact with a small number of neighbors and that can often be represented as networks • that are application-oriented and involve handling real-world data • incorporate domain expertise through direct collaborations with experts from different disciplines, in particular social scientists Main website: http://cdebacco.com Department website: https://pio.is.tue.mpg.de/

PostDoc Position

Contact: Caterina De Bacco


PhD positions in Routing Optimization and Optimal Transport

  • Tübingen

The newly established Physics for Inference and Optimization Group, headed by Caterina De Bacco, within the Cyber Valley at the Max Planck Institute for Intelligent Systems in Tübingen is looking for PhD students in the area of machine learning, particularly in routing optimization and optimal transport, starting early 2019. Our research aims to build general and flexible models at the interface between Statistical Physics and Computer Science to study application-oriented problems that involve experts from different disciplines. More specifically, we aim to develop models and methodologies to: • perform routing optimization on networks • that incorporates methods from statistical physics, e.g. message-passing algorithms as the cavity method, with approaches from optimal transport theory • that allow for efficient algorithmic implementations Main website: http://cdebacco.com Department website: https://pio.is.tue.mpg.de/

PhD Position

Contact: Caterina De Bacco


PhD positions in Inference

  • Tübingen

The newly established Physics for Inference and Optimization Group, headed by Caterina De Bacco, within the Cyber Valley at the Max Planck Institute for Intelligent Systems in Tübingen is looking for PhD students in the area of machine learning, particularly in inference, starting early 2019. Our research aims to build general and flexible models at the interface between Statistical Physics and Computer Science to study application-oriented problems that involve experts from different disciplines. More specifically, we aim to develop models and methodologies to: • perform inference on locally interacting systems, systems where individual entities interact with a small number of neighbors and that can often be represented as networks • that are application-oriented and involve handling real-world data • incorporate domain expertise through direct collaborations with experts from different disciplines, in particular social scientists Main website: http://cdebacco.com Department website: https://pio.is.tue.mpg.de/

PhD Position

Contact: Caterina De Bacco


Fachkraft für Arbeitssicherheit (50%/ m/f)

  • Tübingen

Das Max-Planck-Institut für Intelligente Systeme hat zwei Standorte, in Stuttgart und Tübingen, und verbindet Spitzenforschung in Theorie, Software und Hardware im Bereich der intelligenten Systeme unter einem Dach. Zur Beratung und Gewährleistung des Arbeitsschutzes und der Unfallverhütung suchen wir am Standort Tübingen zum nächstmöglichen Zeitpunkt eine Fachkraft für Arbeitssicherheit (50%/ m/f)

Staff Position

Contact: Mara Cascianelli


Administrative/r Assistent/-in (m/w) (50%)

  • Tübingen

Das Max-Planck-Institut für Intelligente Systeme (MPI-IS) in Tübingen sucht zum nächstmöglichen Zeitpunkt eine/-n motivierte/-n administrative/n Assistent/-in zur Unterstützung der Arbeitsgruppe "Autonomes Maschinelles Sehen" von Prof. Dr. Andreas Geiger.

Staff Position

Contact: Diana Rebmann