Home › Companies › Agile Robots Se › Working Student (m/f/d) Contact-Rich Manipulation and RL
Working Student (m/f/d) Contact-Rich Manipulation and RL
Agile Robots Se · Germany, Munich (HQ) · Active · Personio
Job facts
| Field | Value |
|---|---|
| Company | Agile Robots Se |
| Title | Working Student (m/f/d) Contact-Rich Manipulation and RL |
| Normalized title | - |
| Department / team | AI Platform / Internships & Working Students |
| Location | Germany, Munich (HQ) |
| Work model | - |
| Employment type | Part Time |
| Salary | - |
| Status | active |
| ATS provider | Personio |
| Posted / first seen | 2026-05-28 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Agile Robots Se. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Personio. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Department jobs | Active postings in AI Platform. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Agile Robots Se |
| Source | bcb1fbae-6077-4ee3-833d-67baf488bf90 |
| ATS provider | Personio |
Description
About the role
We are looking for a Working Student (m/f/d) Contact-Rich Manipulation and RL . In this role, you will prototype and benchmark classical and learning-based approaches to contact-rich manipulation tasks, including insertion, assembly, and surface following, across simulation and real robot hardware.
Your Responsibilities
Approach Survey: Survey recent literature on contact-rich manipulation and benchmark classical and learning-based approaches against each other on tasks such as insertion, assembly, and peg-in-hole. Force/Torque Feedback: Explore force and torque feedback strategies for contact state estimation and reactive control. Simulation Prototyping: Prototype and compare RL, MPC, and imitation learning pipelines in simulation, including learning from demonstration through behavior cloning and DAgger. Transfer Investigation: Investigate sim-to-real transfer through domain randomization, system identification, and reality gap analysis. Hardware Experiments: Run experiments on real robot hardware and systematically document which behaviors transfer from simulation and which do not.
Essential Skills
Academic Background: Currently enrolled in a Master's programme in Robotics, Computer Science, or Mechanical Engineering. Technical Foundation: Solid foundation in at least one of robot control, motion planning, or machine learning, with enough depth to read, implement, and critically evaluate approaches from literature. Python Proficiency: Working proficiency in Python for prototyping, scripting simulation pipelines, and running experiments. Simulation: Ability to set up and run robot manipulation experiments in simulation environments such as MuJoCo or similar. Literature Engagement: Ability to read recent research papers, extract implementable ideas, and compare approaches in a structured and reproducible way.
Beneficial Skills
Force/Torque Sensing: Familiarity with force and torque feedback for contact state estimation or reactive control. ROS2: Basic familiarity with ROS2 for hardware integration and experiment execution. Real Hardware: Prior experience running experiments on robot hardware, including in a lab or course context.
What we offer
Practical learning opportunities to complement your studies. Dynamic high-tech company combined with financial soundness and world class investors. Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. Corporate Benefits Program that covers health, mobility and learning with 100 € net per month. Modern office facilities with a rooftop terrace overlooking Munich, free drinks & fruits, and regular company events contribute to a good working environment.
Full job record
| Job ID | ce4ff40433d3e12bbb7e1046be97191a13e40993 |
| Org ID | cbcab16d-d77f-4aae-95e4-f537194009c8 |
| Source ID | bcb1fbae-6077-4ee3-833d-67baf488bf90 |
| Board ID | bcb1fbae-6077-4ee3-833d-67baf488bf90 |
| Provider | personio |
| Provider Job Key | 2650496 |
| Title | Working Student (m/f/d) Contact-Rich Manipulation and RL |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Germany, Munich (HQ) |
| Department | AI Platform |
| Team | Internships & Working Students |
| Employment Type | part_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://agile-robots-se.jobs.personio.de/job/2650496?language=en |
| Apply URL | https://agile-robots-se.jobs.personio.de/job/2650496?language=en |
| First Seen At | 2026-05-30 06:05:02Z |
| Last Seen At | 2026-06-06 07:54:12Z |
| Last Checked At | 2026-06-06 07:54:12Z |
| Last Changed At | 2026-05-30 06:05:02Z |
| Inactive At | — |
| Source Posted At | 2026-05-28 17:00:28Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=personio/board=agile-robots-se.de/date=2026-06-06/2026-06-06T07-54-11-954Z-784a826e6f3211779d98f861e26fa61d9ac5e980c0b6fc37cf918f969809edb8.json |
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