Research Areas
We are looking for a highly motivated researcher to advance robot learning for humanoid platforms, with a strong emphasis on contact-rich and whole-body behaviors.
Reinforcement Learning (RL)
Focus on dexterous manipulation, including multi-fingered hands, in-hand manipulation, tool use, and compliant control.
VLA-related Robot Learning
Vision–language–action or vision–language–agent style policies, including grounding, generalization, and instruction-following for manipulation.
Tractable & Explainable AI
Interpretable policy representations, uncertainty estimation, safety constraints, and verifiable/diagnosable decision-making.
Deployment Pipelines
Spanning simulation-to-real transfer, calibration, runtime monitoring, testing, and continuous improvement of humanoid applications.
Qualifications & Expectations
Required Qualifications
- • PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or a closely related field (completed by start date)
- • Strong record of research productivity (peer-reviewed journal publications)
- • Solid foundations in machine learning, including deep learning, RL, transformers
- • Hands-on experience with robotics software stacks (ROS/ROS 2, modern middleware)
- • Python and C++ development for real-time or near-real-time robotic applications
- • Proven ability to run rigorous experiments and perform reproducible research
Preferred Experience (Nice-to-have)
- • Demonstrated success with real-world dexterous manipulation on hardware (e.g., Allegro/Shadow/Leap hands or equivalent)
- • Experience with physics simulation and differentiable/fast simulators (e.g., MuJoCo, Isaac Gym/Isaac Sim, PyBullet, RaiSim)
- • Background in trajectory optimization / MPC / whole-body optimization for humanoids
- • Contributions to open-source robotics or ML toolkits
- • Strong mentoring record (supervising MSc/PhD students, leading projects)
Deliverables & Impact Expectations
- ✓ Publish research outcomes in top-tier robotics/ML venues
- ✓ Prototype and validate humanoid manipulation capabilities on hardware
- ✓ Produce reusable components for the end-to-end deployment pipeline
- ✓ Contribute to grant writing and student mentoring
"We value a research mindset with independent direction, excellent communication, and a strict commitment to safe experimentation on humanoid platforms."
Scholarship Package & Application Details
Position & Title
PostDoc Excellence Researcher
Funding
€2,500 / month (gross)
Freely usable in compliance with legal provisions.
Supported Period
72 Months
Application Deadline
March 15, 2026
Submit applications electronically to:
Hardware & Infrastructure
As a postdoc researcher, you will have direct access to our state-of-the-art laboratory to test your models on real-world humanoid and industrial platforms.
Unitree G1-EDU
Humanoid Robot
Expected 2026 Q3
Unitree G1-D
Humanoid Robot
Unitree Go2-EDU
Quadruped Robot
Shadow Robot DEX-EE
Dexterous Hand
Franka Research 3
+ AI companion
KUKA LBR IIWA
Collaborative Robot
KUKA LBR IIWA Med
Medical Robotics
OMRON LD90
Mobile Platform
Techman TM-5s
Cobot
OptiTrack
12 sqm Mocap, 8 cameras
daVinci Research Kit
Surgical Robotics
HPC Infrastructure
- 2x Nvidia A100
- 4x Nvidia H100
- Nvidia Thor (Exp. 2026 Q3)
Well-equipped prototyping workshop on-site.