Research Associate in Robotics Simulation

Technical University of Munich


Research associate in Robotics Simulation

The Human Brain project (HBP) is a large-scale research initiative funded by the European Commission that aims to shed light on the inner workings of the brain. Developed inside HBP, the Neurorobotics Platform (NRP) is a simulation platform that interfaces brain simulation (e.g. NEST) and robotics simulation (e.g. Gazebo). This enables in silico embodiment of brain models for closed-loop simulation inside virtual environments. Large-scale simulations are deployed on the HBP infrastructure for High Performance Computing, with applications in neuroscience, robotics and AI.

To strengthen our team at the Technical University of Munich (TUM), we are looking for a

Research Associate – Robotics Simulation

Profile sought:

Post-doc, MSc or experienced engineer possessing a solid track record of implementing complex robotic simulations in Gazebo, and of creating Gazebo plugins.

Core duties and responsibilities:

• Contributing to the implementation of demonstrators and experiments on the NRP (both in AI and neuroscience, e.g. dexterous manipulation with humanoid hand, musculoskeletal systems, etc.).
• Implementing and documenting all testing and quality control processes related to said implementation.
• Study of sim-to-real transfer learning.
• Contributing to administrative duties entailed by a H2020 project (e.g. reporting, dissemination).

Skills and experience required:

• Master degree (MSc thesis required; non-thesis MSc not accepted).
• A good knowledge of, and practical experience with, ROS and Gazebo.
• Proven ability to deliver production-grade code in either C/C++ or Python, and good knowledge of common programming languages.
• Good knowledge of URDF and SDF file formats.
• Solid experience with version control systems (e.g. Git, Bitbucket).
• Fluency in spoken and written English (German desirable but not essential).
• High self-motivation and willingness to work in an international and interdisciplinary team.


• Practical knowledge of physics engines (e.g. ODE, Bullet, SimBody, PhysX) and their limitations.
• Proficiency with Docker container technology.
• Experience with AI and related frameworks (e.g. TensorFlow, Pytorch, Keras).
• Knowledge of, and experience with, open source game engines.

What we offer:

• A one-year full-time position, expected to be renewed until 2023.
• Possibility of carrying out PhD studies while working on the project.
• Worldwide networking opportunities with AI, robotics and neuroscience experts.
• Remuneration in line with the current German public service (TVL-E13).

TUM and HBP strive to increase the proportion of their female employees, and therefore explicitly invite women to apply. Severely handicapped persons will be given preferential treatment if their aptitude and qualifications are essentially equal to those of other applicants.

Applicants should submit a short cover letter and a CV in PDF format only, with file name “<surname>_HBP_cover” and “<surname>_HBP_CV” electronically.

Desired start date: As soon as possible
Deadline for application: applications will be considered until the position is filled.
Duration of contract: One year, with possibility of extension.

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