The Human Brain Project (HBP) is an ambitious large-scale research
initiative funded by the European Commission with a high worldwide
visibility. About 100 research institutes from different disciplines all
over Europe cooperate intensively to achieve a multi-level, integrated
understanding of brain structure and function through the development and
use of Information and Communication Technologies.
Inside HBP, the Neurorobotics Platform (NRP) is a web-based platform
developed under the leadership of Prof. Alois Knoll (Technical University of
Munich - TUM). It grants neuroscientists easy access to state-of-the-art
simulators: spiking neural networks (NEST), robotics (Gazebo) and physics
(ODE, bullet). These simulators are interfaced together and synchronized
inside a closed-loop simulation, which provides neuroscientists with the
ability to perform in silico experiments based on embodiment of brain
models, and to close the action-perception-cognition loop inside virtual
environments. To strengthen our Neurorobotics team in TUM we are looking for
Experienced Backend Developer for Neurorobotics
Ph.D. or similar experience in computer science, robotics, mathematics,
engineering or a related field; alternatively, a strong track record in
software development and robotics.
Major duties and responsibilities:
. Carrying out R&D activities on the topic of neural control for
robotics that leverage the NRP.
. Carrying out project-related work including software development,
progress monitoring and reporting, and community engagement.
. Dissemination of project results in leading journals and conference
in both the robotics and neuroscience communities.
Essential skills and experience required:
. Solid knowledge of robotics, mathematics, software engineering, and
. Proficiency in C, C++, and Python is a must; a good knowledge of,
and practical experience with ROS, MATLAB and Simulink will be considered a
strong asset. Experience with Docker is a plus.
. Experience in developing robotics software, e.g.,
kinematics/dynamics, actuator/sensor drivers, Guidance-Navigation-Control
(GNC) algorithmics, ontological world models, distributed systems.
Experience with real-time systems will be a real plus.
. Experience in AI & artificial neural networks, control theory,
and/or dynamical systems theory will be considered a significant asset.
. Fluency in spoken and written English (German desirable but not
. Willingness to travel.
. Ability to work independently with minimal supervision while
delivering quality code on time.
. High motivation and willingness to work in an international and
interdisciplinary team (openness to working with neuroscientists is a key
What we offer:
. A full-time position with interesting and challenging tasks in an
. Worldwide networking opportunities with robotics and neuroscience
. The chance to grow in responsibility through the development of new
. Remuneration in line with the current German public service.
TUM and HBP strive to increase the proportion of their female employees, and
therefore explicitly invite women to apply.
Applicants should submit a cover letter and a detailed CV in PDF format
only, with file name "<surname>_HBP_cover" and "<surname>_HBP_CV"
electronically to [hidden email]
Start date: 1st of October 2018.
Deadline for application: until position is filled.
Duration of contract: until the 30th of March 2020, with possibility of
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