Career Possibilities

PhD students and Postdocs at the Autonomous Learning Research Group

  • Tuebingen

Open positions for PhD Students and Postdocs at the Autonomous Learning Group with Dr. Georg Martius at the Max Planck Institute for Intelligent Systems, Tübingen, Germany Details: http://georg.playfulmachines.com/ - section-182

Graduate Position

Submit your application to: georg.martius@tuebingen.mpg.de
Contact: Georg Martius Sabrina Jung


Leiter-/in der Mechatronik-Werkstatt (100%)

  • Tuebingen

Staff Position

Submit your application to: sabrina.jung@tuebingen.mpg.de
Contact: Sabrina Jung Felix Grimminger


2 PhD Positions in capturing and modelling of 3D virtual people in clothing from data

2 open PhD positions in capturing and modelling virtual people from 4D scans, images and video. The PhD position is funded for a duration of 3-4 years. While the computer vision community has seen significant progress in detecting and tracking people in images using deep learning, most approaches are still 2D. The goal of the project is to build the most realistic generative model of 3D people in clothing from real measurements. One part of the project involves “capture”: that means tracking and estimating body shape, soft-tissue and cloth dynamics from data. The other part of the project involves “modelling”: using machine learning techniques the aim is to build models of humans in clothing that generalise to novel human shapes, movements and clothing. The research will have an impact in several fields such as medicine and artificial intelligence which requires to track and estimate the human movement and cloth from incomplete sensory data. The PhD student will work on state-of-the-art research at the intersection between computer vision, computer graphics and machine learning.

PHD Position

Submit your application to: gerard.pons.moll@tue.mpg.de
Contact: Gerard Pons-Moll


Research Scientist -- Numerics of Machine Learning

  • Tübingen

We are looking for a researcher interested in advancing the algorithmic state of the art in machine intelligence.

Staff Position

Submit your application to: ph@tue.mpg.de
Contact: Philipp Hennig


Systems Administrator

  • Tübingen

Systems Administrator with strong technical knowledge of advanced storage and backup solutions, computer software, hardware and networks. You will support the computing needs of a diverse group of researchers in the areas of computer vision, machine learning, VR, and computer graphics.

Graduate Position

Submit your application to: sabrina.jung@tuebingen.mpg.de
Contact: Sabrina Jung


Big Data Engineer

  • Tuebingen

We are looking for a Big Data Engineer for our Central Scientific Facility "Scientific Computing" to develop a Big Data technology ecosystem

Graduate Position

Submit your application to: personal@vw.mpi-stuttgart.mpg.de
Contact: Sabrina Jung Jojumon Kavalan


System Administrator

  • Tuebingen

The IT team at the MPI for Intelligent Systems (Tübingen site) is responsible for our IT infrastructure, and supports scientists with their research projects. We provide our users with work stations, mobile devices, and server services. For the high demand in computing and storage capacity, we have an HPC cluster and large scale storage systems. A new building for the institute is being completed at the moment. More information on the Max Planck Institute for Intelligent Systems Tübingen is available at www.is.tuebingen.mpg.de.

Graduate Position

Submit your application to: personal@vw.mpi-stuttgart.mpg.de
Contact: Sabrina Jung


Storage Engineer

  • Tuebingen

The IT team at the MPI for Intelligent Systems (Tübingen site) is responsible for our IT infrastructure. The team supports scientists with their research projects and also assists in the maintenance of the HPC cluster and large-scale storage system.

Graduate Position

Submit your application to: personal@vw.mpi-stuttgart.mpg.de
Contact: Sabrina Jung Jojumon Kavalan


Empirical Inference Department-Robot Table Tennis

  • Tübingen

The Max Planck Institute for Intelligent Systems in Tuebingen is looking for a student research assistant/HiWi (studentische/wissenschaftliche Hilfskraft) who will be able to work up to 10 hours per week/120 hours for three months. We are seeking someone with programming experience, preferably on C/C++. We have a robot table tennis setup and a set of cameras to track the ball position. In this position you will gain experience with Machine Learning models, robotics and computer vision.

Student Position

Submit your application to: sgomez@tue.mpg.de
Contact: Sebastian Gomez-Gonzalez Sabrina Jung


PostDoc and PhD student

  • Tuebingen

The newly established research group on learning theory, headed by Ulrike von Luxburg at the Max Planck Institute for Intelligent Systems, Tübingen, Germany, is looking for a Postdoc and for a PhD student in the area of machine learning theory, particularly in the domain of comparison-based and ordinal data analysis, starting early 2017.

Submit your application to: tml-sekretariat@inf.uni-tuebingen.de
Contact: Ulrike von Luxburg Sabrina Jung


PhD studentships -- Numerics of Machine Learning

  • Tübingen

We are looking for students interested in developing novel algorithms for machine intelligence.

PHD Position

Submit your application to: ph@tue.mpg.de
Contact: Philipp Hennig


Student assistant mobile GPU

  • Tuebingen

The Max Planck Institute for Intelligent Systems in Tuebingen is looking for a student research assistant/HiWi (studentische/wissenschaftliche Hilfskraft) who will be able to work for a maximum of 20 hours per week/83 hours a month for up to six months. We are seeking someone with experience programming GPUs, preferably on mobile devices. We have a new deep neural network for image motion analysis and your job would be to port this to a mobile GPU. In this position you will gain experience with convolutional neural networks and optical flow estimation.

Student Position

Submit your application to: anurag.ranjan@tuebingen.mpg.de
Contact: Anurag Ranjan


PhD position in Distributed and Event-based Wireless Control for Cyber-physical Systems

  • Tuebingen, Germany

The Autonomous Motion department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany (research group Dr. Sebastian Trimpe) is looking for an outstanding and highly motivated PhD researcher in control, networks, and autonomous multi-agent systems. The fully funded position is to be filled as soon as possibly and initially offered for a duration of three years with employment contract according to the rules of the MPI. The project involves collaborations with partners at, inter alia, TU Dresden (Dr. M. Zimmerling), KTH Stockholm (Prof. K.H. Johansson), and ETH Zurich, with ample opportunities for research exchange and connections with national and international top researchers. This research is expected to have high impact both in science and industry.

PHD Position

Submit your application to: strimpe@tuebingen.mpg.de
Contact: Sebastian Trimpe


Graduate Internship: Modelling Cloth Dynamics

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen is looking for a highly motivated visiting PhD student interested in computer vision and machine learning. The visit is supported by a scholarship of MPI for a duration of 6 months. The applicant must hold a Master's degree and should currently be enrolled in a PhD program at a university or research institution. The project involves building statistical models of cloth garments and their dynamics from 4D scan data. The conducted research is expected to highly impact both science as well as industry in the short and long term.

Contact: Gerard Pons-Moll


Graduate Internship: 3D Human Pose and Garment Estimation from Images

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen is looking for a highly motivated visiting PhD student interested in computer vision and machine learning. The visit is supported by a scholarship of MPI for a duration of 6 months. The applicant must hold a Master's degree and should currently be enrolled in a PhD program at a university or research institution. At the Perceiving Systems Department we are interested in building digital models of humans and clothing. Being able to parse clothing from different data modalities (4D scans, video or Kinect) is central to building such models and to perceive humans in the wild. The role of the student will be to infer human pose, shape and 3D garment geometry from video and Kinect data. The conducted research is expected to highly impact both science as well as industry in the short and long term.

Graduate Position

Contact: Gerard Pons-Moll


Graduate Internship: Modelling Human Soft-Tissue Dynamics

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen is looking for a highly motivated visiting PhD student interested in computer vision and machine learning. The visit is supported by a scholarship of MPI for a duration of 6 months. The applicant must hold a Master's degree and should currently be enrolled in a PhD program at a university or research institution. The project involves combining ideas from physical simulation and data-driven models to learn models of soft-tiusse motions from thousands of 4D scans. Experience in physically based simulation is a plus. The conducted research is expected to highly impact both science as well as industry in the short and long term.

Graduate Position

Contact: Gerard Pons-Moll


Graduate Internship: Deep Learning for Computational Photography

  • Tübingen

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen is looking for a highly motivated visiting PhD student interested in computer vision and machine learning. The visit is supported by a scholarship of MPI for a duration of 6 months. The applicant must hold a Master's degree and should currently be enrolled in a PhD program at a university or research institution. The student will work on state-of-the-art research at the intersection of computer vision, computational photography and machine learning, closely supervised by a researcher from MPI Tübingen. The conducted research is expected to highly impact both science as well as industry in the short and long term.

Contact: Andreas Geiger


PhD Position: Efficient Invariant Deep Models for Computer Vision

  • Tübingen

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen and the Robert Bosch GmbH in Leonberg are looking for a highly motivated PhD student interested in computer vision and deep learning. The duration of the fully funded PhD is 3 years and the student will work 50% of the time at the MPI for Intelligent Systems, Tübingen and 50% of the time at the Robert Bosch GmbH, Leonberg. Thus, this position provides an excellent link between academia and industry. The student will be supervised by a researcher from MPI Tübingen and a researcher at Robert Bosch GmbH and therefore benefit from both environments. The conducted research is expected to have a high impact on science as well as in industry.

PHD Position

Contact: Andreas Geiger


PhD Position: Accurate Reconstruction of Lights, Materials and 3D Geometry from RGB, Depth and Motion

  • Tübingen

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen is looking for a highly motivated PhD student interested in computer vision and machine learning. The three year PhD scholarship is sponsored by Microsoft Research Cambridge (UK) and the PhD student will be based at the Max Planck Institute for Intelligent Systems in Tübingen with regular visits at Microsoft Research Cambridge. The PhD student will work on state-of-the-art research in computer vision and machine learning, being co-supervised by a researcher from MPI Tübingen and Microsoft Research Cambridge. The conducted research is expected to highly impact both science and industry in the short and long term.

PHD Position

Contact: Andreas Geiger


Distributed Wireless Control (Master thesis)

  • Tuebingen, Germany

In a new research project, we seek to integrate recent advances in wireless networking with networked control to develop a superior solution for reliable and economic wireless control for cyber-physical systems (CPSs). We are looking for outstanding students who are interested in doing their Master thesis in this novel, interdisciplinary, and challenging research area. Depending on the student's background and interests, the project can involve fundamental theoretical developments, extensive simulation studies, as well as applied work around developing a novel CPS demonstrator.

Student Project Position

Submit your application to: strimpe@tuebingen.mpg.de
Contact: Sebastian Trimpe


Master Thesis Projects on Learning Control

  • Tuebingen, Germany

Machine learning for advanced control of autonomous robots. We are continuously looking for outstanding students who are eager to do their Master thesis on a challenging project in the area of Learning Control.

Student Project Position

Submit your application to: amd-applications@tuebingen.mpg.de
Contact: Ludovic Righetti Sebastian Trimpe


Microsoft Research PhD Scholarship in Sequential Structured Prediction

  • Tübingen, Germany

Structured prediction refers to machine learning models that predict multiple interrelated and dependent quantities. Many applications in a wide range of domains can naturally be understood in this way. A wide variety of expressive and powerful models have been proposed, mostly tailored to specific applications. A shared common problem amongst many structured prediction models is that of intractable inference. This results in inefficient computation and in turn reduces the practical significance. We propose to study structured prediction models in the context of sequential decision making. Each decision is allowed to depend on a rich context that includes previous decisions as well as context-dependent observations. This approach puts emphasis on tractable inference and we believe that progress in this field will result to practical impact in multiple applications.

This PhD position is sponsored by Microsoft Research and is co-supervised by Peter Gehler, Max Planck Institute for Intelligent Systems and Sebastian Nowozin, Microsoft Research Cambridge.

PHD Position

Contact: Peter Vincent Gehler


Post Doctoral Researchers and Research Scientists

  • Tübingen, Germany

Outstanding candidates in all areas of computer vision will be considered but special emphasis will be given to candidates with experience in modeling and estimating human and animal shape including 3D mesh models, statistical shape modeling, 3D vision, articulated pose estimation, and non-rigid models of clothing, hair and fur. While our focus is basic research, we also pursue commercial applications and applications in neuroscience.

PostDoc Position

Contact: Melanie Feldhofer


PhD Scholarship in Computer Vision and Machine Learning at the MPI for Intelligent Systems in Tübingen

  • Tübingen, Germany

Visual Scene Understanding is one of the fundamental challenges in computer vision. While recent advances in object detection, semantic image segmentation and classification have spurred novel interest in the subject, most existing approaches work on single images only. At MPI for Intelligent Systems in Tübingen we are interested in lifting semantic image segmentation into 3D and reasoning about objects spatially and temporally using multi-view video sequences taken from a movable platform driving through a city.

PHD Position

Contact: Andreas Geiger


PhD Scholarships in Geometric Statistics

  • Tübingen, Germany

We are seeking students interested in building princpled statistical models for solving problems in Computer Vision and Machine Learning. You will work an international team interested in building the best possible shape models. For details, see the PDF.

PHD Position

Contact: Melanie Feldhofer


Internships for graduate students / PhD students

  • Tübingen, Germany

Internship in 3D Computer Vision at the MPI for Intelligent Systems in Tübingen

Contact: Andreas Geiger


PhD and Intern Positions available at MPI Tübingen

  • Tübingen, Germany

The Perceiving Systems department at the Max Planck Institute for Intelligent Systems in Tübingen, Germany announces several PhD scholarships as well as funded summer internships for graduate students in 2016. Research at Perceiving Systems is curiosity driven and spans a wide range of topics in computer vision, graphics and machine learning.

PHD Position

Contact: Michael Black Andreas Geiger Peter Vincent Gehler Javier Romero


Postdoc position in machine learning for robot movement control

  • Tübingen, Germany

Contact interaction during legged locomotion and manipulation creates extremely rich and high-dimensional, but structured sensory signals with complicated temporal patterns. The structure inherent to contact interaction can be exploited to learn sensory models of interaction that can be used 1) to automatically synthesize optimal controllers directly in sensor space and 2) to infer and predict the state of complex locomotion and manipulation tasks (i.e. robot+observable part of the world)

PostDoc Position

Submit your application to: amd-applications@tuebingen.mpg.de


Nominations sought for the position of Director at the Max Planck Institute for Intelligent Systems

  • Tübingen, Germany

The MPI for Intelligent Systems is in the process of identifying candidates for a new Director. Our institute seeks to understand the principles of perception, action and learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems. The institute studies these principles in biological, computational, hybrid, and material systems ranging from nano to macro scales. We take a highly interdisciplinary approach that combines mathematics, computation, material science, and biology.

Staff Position

Contact: Sabrina Jung