<p><span style="font-size:14.0px"><p><strong>Advertisement for the field of study such as</strong>: automation technology, electrical engineering, computer science, cybernetics, aerospace engineering, mechanical engineering, mathematics, mechatronics, physics, control engineering, software design, software engineering, technical computer science or comparable.</p>
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<p>In the Professional Service Robots - Outdoor research group we develop autonomous, mobile robots for a variety of outdoor applications, such as agriculture, forestry and logistics. The focus is on the development of an autonomous outdoor navigation solution as well as the hardware of the robots.</p>
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<p>Wheeled, bipedal robots combine the advantages of dynamic walking with efficient wheeled locomotion. Controlling such systems in real-world environments is challenging due to the high-dimensional dynamics, non-linear contact interactions, and varying surface conditions. Reinforcement learning (RL) offers a promising approach to develop adaptive and robust control policies, but training on physical hardware is often impractical and unsafe. Realistic simulation environments are therefore essential. NVIDIA Isaac Sim with Isaac Lab enables high-fidelity physics simulation, sensor emulation, and RL-compatible environments for training and evaluating complex locomotion and navigation behaviours.</p></span></p>
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<p><span style="color:#16a085"><span style="font-size:14.0px"><strong>Was Sie bei uns tun</strong></span></span></p>
<p><span style="font-size:14.0px"><p>In this thesis, you will design and implement a simulation environment for a wheeled, bipedal robot in NVIDIA Isaac Sim, ensuring realistic physics for hybrid locomotion. You will develop and train RL algorithms for hybrid locomotion tasks, including transitioning between locomotion modes and balancing on uneven terrain. To assess the quality and limitations of the training, you will compare the simulated behaviour with the real-world performance of our internally developed bipedal robot.</p></span></p>
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<p><span style="font-size:14.0px"><span style="color:#16a085"><strong>Was Sie mitbringen</strong></span></span></p>
<p><span style="font-size:14.0px"><ul>
<li>Valid enrollment at a German university/Hochschule</li>
<li>Background in Computer Science, Software Engineering, Mechanical Engineering, Mechatronics or similar </li>
<li>Experience with Reinforcement Learning</li>
<li>Experience with Physic Engines is a plus</li>
<li>Experience with NVIDIA Isaac Sim and Isaac Lab is a plus</li>
<li>Experience with ROS is a plus</li>
<li>Analytical mindset</li>
<li>Enthusiasm for mobile robotics</li>
<li>Fluent in English or German </li>
</ul></span></p>
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<p><span style="font-size:14.0px"><span style="color:#16a085"><strong>Was Sie erwarten können</strong></span></span></p>
<p><span style="font-size:14.0px"><ul>
<li>Cutting-edge technology in the field of outdoor mobile robotics</li>
<li>Hands on with our robots in Stuttgart</li>
<li>Take on responsibility and freedom to implement your own ideas</li>
<li>Work with the best students in their discipline</li>
<li>Familiar atmosphere including Cake Thursday</li>
</ul></span></p>
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<p><span style="font-size:14.0px">Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. <span style="font-family:Arial, Helvetica, sans-serif">Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.</span></span></p>
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<p><span style="font-size:14.0px">Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft. </span></p>
<p><span style="font-size:14.0px"><strong>Haben wir Ihr Interesse geweckt? Dann bewerben Sie sich jetzt online mit Ihren aussagekräftigen Bewerbungsunterlagen. Wir freuen uns darauf, Sie kennenzulernen!</strong> </span><br> </p>
<p><span style="font-size:14.0px"><span id="cke_bm_1868S" style="display:none"> </span><span style="font-size:14.0px"><p>Frau Jennifer Leppich</p>
<p>Recruiting</p>
<p>+49 711 970-1415</p>
<p><a href="mailto:lisa.bauer@ipa.fraunhofer.de">jennifer.leppich@ipa.fraunhofer.de</a> </p></span></span></p>
<p><span style="font-size:14.0px"><span style="font-size:14.0px">Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA</span></span> </p>
<p><a href="http://www.ipa.fraunhofer.de" target="_blank" rel="noopener"><span style="font-size:14.0px">www.ipa.fraunhofer.de</span></a> </p>
<p style="text-align:justify"><br><span style="font-size:14.0px">Kennziffer: <span style="font-size:14.0px">82451</span> Bewerbungsfrist: <span style="font-size:14.0px"></span></span></p>
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