For all Ph.D. and Post-Doc jobs, please apply ONLY through our >Application Website<. Same for internships and scholarships. Only applications through this website can be considered, applicants who email their applications will be not be considered.

For students of the TU Darmstadt we ocasionally have HiWi positions. Please check them in >Jobs/StudentJobs<.

Jobs and Open Positions

As a dynamic research group, we are interested in outstanding Ph.D. students and postdoctoral scholars in robotics, machine learning, and biomimetic motor control. Only in rare exceptions, we have openings for external students for internships or master's theses unless they are already enrolled with TU Darmstadt. For exceptional students from the USA, Canada, Australia and New Zealand, we offer internships through the IREP program, but please apply directly through the IREP program. Scholarship applications (including DAAD WISE, CSC or other) and internship will only be considered if send through this website.

See here for more information for applicants.

Open Robotics & Machine Learning Positions

The Intelligent Autonomous Systems Lab (IAS) at the Technical University of Darmstadt (TU Darmstadt) is seeking for highly qualified POSTDOCTORAL RESEARCHERS and PH.D. STUDENTS interested in one or more of the research topics:

  1. Machine Learning for Prosthetic Legs and Physical Assistance of Neuromuscular Control
  2. Machine Learning for Robotics, especially Reinforcement Learning, Imitation, and Model Learning.
  3. Robot Grasping based on Tactile Sensing and Vision
  4. Imitation Learning using Body Metrics

Currently, we have openings in several new projects. In particular, mention what projects you are interested in, see Projects. Particularly, we are still searching for applicants in

Outstanding students and researchers from the areas of AI+Robotics and machine learning as well as related areas including control engineering or computer vision are welcome to apply. The candidates are expected to conduct independent research and at the same time contribute to ongoing projects in the areas listed above. Successful candidates can furthermore be given the opportunity to work with undergraduate, M.Sc. and Ph.D. students.

IAS members have been extraordinarily successful in terms of publications (both at top robotics and top machine learning venues), awards (best European robotics PhD thesis awards, best computer science thesis, AI newcomer of the year, ...), academic jobs (14 professors at top schools including KIT, UCL and CMU; postdocs at UC Berkeley, MIT, CMU, ... ) and industry jobs (Amazon, Facebook, Google).

Position Requirements

Interns need to have had prior research experience and relevant course work to robotics and/or machine learning, as well as a really good reason why they want to intern with us as we only take very few applicants.

Ph.D. position applicants need to have a Master's degree in a relevant field (e.g., Robotics, Computer Science, Engineering including e.g. Electrical and Mechanical Engineering, Statistics & Optimization, Math and Physics) and have exhibited their ability to perform research in either robotics or machine learning. First publications or an uploaded excellent M.Sc. thesis are beneficial for the candidates chances.

A successful Post-doc applicant should have a strong robotics and/or machine learning background with a track record of top-tier research publications, including relevant conferences (e.g., RSS, ICRA, IROS or ICML, IJCAI, AAAI, NIPS, AISTATS) and journals (e.g., AURO, TRo, IJRR or JMLR, MLJ, Neural Computation). A Ph.D. in Computer Science, Computational, Electrical or Mechanical Engineering (or another field clearly related to robotics and/or machine learning) as well as strong organizational and coordination skills are a must.

Expertise in working with real robot systems is a big plus for all applicants.

How to Apply?

All complete applications submitted through our online application system found at our

>Application Website<

will be considered. There is no fixed deadline: the positions will be filled as soon as possible. Ph.D. applicants should provide at least a research statement, a PDF with their CV, degrees, and grade-sheets, and two references who are willing to write a recommendation letter. PostDoc applicants require three references and, in addition, should provide their top three publications. Please ensure to include a link to your research web-site as well as your date of availability.

Please make clear in your research statement on your research interest and experience, how these relate to IAS and how they relate to the topics listed above. Importantly, do not waste space on "Dear Dr. ", your childhood experiences or why your university is such a nice school. We are interested in you and how well you fit to us.

Applicants are encouraged to contact Jan Peters or any IAS post-docs during the upcoming conferences. Candidates giving a presentation at one of these conferences are invited to send a corresponding note to us.

More information needed?

See here!

Third Wave of AI

Interested in a PhD-position in the research area Third Wave of AI? Then join us and work with us in our new research project 3AI.

The research of 3AI focuses on AI systems that acquire human-like communication and thinking abilities, recognize and classify new situations, and adapt to them autonomously. Through 3AI, the systemic and algorithmic foundations for a so-called system AI are to be developed, so that interactions of the most diverse AI building blocks are mathematically and algorithmically correctly captured, understood and used, and new methods of system design, e.g. software engineering or data management, are explored.

Possible research questions for the PhD-positions - highly relevant to robotics - could be:

  • How to bring together separated AI regimes such as low-level

perception & high-level reasoning?

  • How to represent and interface the what & how of AI computations?
  • How to deal with uncertainty & incompleteness, when modelling and

within the models?

  • How to achieve a large & diverse coverage of (novel) AI algorithms?
  • How to rapidly/automatically combine, deploy, & maintain existing AI

algorithms and representation?

  • How to rethink software & systems design for complex AI systems?

3AI combines top AI research at TU Darmstadt with research at Johann Wolfgang Goethe University Frankfurt, University Hospital Frankfurt and Johannes Gutenberg University Mainz. The cutting-edge research project 3AI is tightly incorporated into the Hessian Center for Artificial Intelligence - hessian.AI. Over the next four years, 20 new AI professorships will be established within hessian.AI, building on the expertise of the 22 Hessian scientists that are founding members of the center.

Through its members TU Darmstadt and Goethe University Frankfurt, Hessian.AI is part of the Rhine-Main Universities (RMU), which is one of the strongest strategic university alliances in Germany with almost half a billion euros in DFG funding. Embedded in one of Europe's leading IT and science regions, the Rhine-Main metropolitan area with close proximity to the Frankfurt Airport, the region offers not only the best working conditions, but also a high quality of life.

Interested? Please apply both at and through our Website!

The Adaptive Mind

The Universities of Giessen, Marburg, and Darmstadt together with the University of Frankfurt and the Frankfurt Institute for Advanced Studies (FIAS) aim strategically to further strengthen research in the field of Mind, Brain, and Behavior by establishing a cluster project The Adaptive Mind. Supported by the Hessen State Ministry for Higher Education, Research and the Arts, applications for

11 Doctoral researcher positions (65%, 75% or 100%) and 12 PostDoc positions (100%) (m/f/d)

are invited. The positions are available immediately and are fixed maximum up to 31.03.2025. If the requirements are met, the position will be paid according to pay group 13. The place of employment will be Gie?en, Marburg, Darmstadt or Frankfurt.

In The Adaptive Mind, we combine rigorous behavioral and neurophysiological research methods and theories from experimental psychology, with the unique patient-oriented insights of psychiatry and clinical psychology and the power of quantitative analysis and computational modeling by artificial intelligence. Our goal is to observe empirically, describe quantitatively, and model computationally how the human mind continually adapts in an ever-changing and often unpredictable world. Further details about the cluster project, the Key Areas and conditions of application can be found elsewhere on this web site.

For the doctoral researcher positions, we invite the application of highly qualified applicants with a Masters degree from life-, biomedical- and natural sciences including psychology, or computer science. The successful PostDoc applicants will have a doctorate in any of the following areas: experimental psychology, cognitive sciences, neuroscience, artificial intelligence, robotics, sensorimotor control, computational psychiatry, or other allied fields. Experience in motion tracking, virtual reality, machine learning or other computational approaches are beneficial.

The successful applicants will join a thriving research community with strong regional, national and international connections as documented among others by numerous high-profile individual (e. g., 8 ERC grants) and group grants (e.g., the Collaborative Research Center (SFB/TRR 135) on Cardinal Mechanisms of Perception, the IRTG 1901 The Brain in Action, the Research Unit RU 2107 Neurobiology of Psychiatric Disorders, the Centre for Cognitive Science and the Hessian Center for Artificial Intelligence - hessian.AI, as well as other collaborative research endeavors).

All participating institutions are committed to increasing the proportion of women in science, and female candidates are strongly encouraged to apply for the positions. All participating institutions are family-friendly institutions, applicants with children are warmly welcomed. Applicants with severe disabilities will be given preference over other candidates with equal suitability for the position. Application and interview costs cannot be refunded.

In addition to filing an application through our website, please send your application to Dr. Filipp Schmidt! Include CV, Research statement, 2 Reference letters, Scans of degree certificates) mentioning reference number 293/06 as a single PDF file to Dr. Filipp Schmidt, Research Coordinator Mechanisms of Perception and Adaption ( Please specify, for which of the research areas specified under Note (3) below you would like to apply. The reference letters can also be sent to Filipp Schmidt directly by the authors, if preferred.

Notes: (1) Application procedure: All applications are received centrally by the research coordinator of the priority research area "Perception and Adaptation", Dr. Filipp Schmidt at Justus-Liebig University Giessen. The application documents will be made available to the selection committee, consisting of the cluster PIs and of representatives of the partner universities, following the highest standards for data protection. Please specify in your application to which of the research fields specified under point (3) you are applying.

(2) Employment: Employment is at the partner university the position is assigned to, following the salary scales applicable locally. These are specified in the German version of this note further below. Part-time employment is generally possible, if desired. Staff representatives of all partner universities will be invited to the job interviews.

(3) Research areas: All research in our Cluster tries to combine Experimental Psychology and Movement Sciences, Artificial Intelligence and Computational Cognitive Science, as well as Clinical Psychology and Psychiatry. The focus for each position will be as follows:. At Justus-Liebig-Universit?t Gie?en (JLU) Experimental Psychology and Movement Sciences (4 PostDoc and 4 Doctoral researcher positions 75%). At Philipps-Universit?t Marburg (UMR) Experimental Psychology (2 Doctoral researcher positions 75%), Computational Cognitive Science (1 PostDoc position), Clinical Psychology (1 PostDoc position), Psychiatry (2 PostDoc und 1 Doctoral researcher positions 75%). At Technische Universit?t Darmstadt (TUDa) Artificial Intelligence and Computational Cognitive Science (4 PostDoc and 2 Doctoral researcher positions 100%). At Goethe-Universit?t Frankfurt am Main (GU) Experimental Psychology (1 Doctoral researcher position 65%). At FIAS Computational Cognitive Science (1 Doctoral researcher position 65%).


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