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HomeCompaniesAgile Robots SeWorking 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

FieldValue
CompanyAgile Robots Se
TitleWorking Student (m/f/d) Contact-Rich Manipulation and RL
Normalized title-
Department / teamAI Platform / Internships & Working Students
LocationGermany, Munich (HQ)
Work model-
Employment typePart Time
Salary-
Statusactive
ATS providerPersonio
Posted / first seen2026-05-28 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Agile Robots Se.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Personio.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in AI Platform.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAgile Robots Se
Sourcebcb1fbae-6077-4ee3-833d-67baf488bf90
ATS providerPersonio

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 IDce4ff40433d3e12bbb7e1046be97191a13e40993
Org IDcbcab16d-d77f-4aae-95e4-f537194009c8
Source IDbcb1fbae-6077-4ee3-833d-67baf488bf90
Board IDbcb1fbae-6077-4ee3-833d-67baf488bf90
Providerpersonio
Provider Job Key2650496
TitleWorking Student (m/f/d) Contact-Rich Manipulation and RL
Normalized Title
Statusactive
Activeyes
Location TextGermany, Munich (HQ)
DepartmentAI Platform
TeamInternships & Working Students
Employment Typepart_time
Workplace Type
Remote Policy
Country
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://agile-robots-se.jobs.personio.de/job/2650496?language=en
Apply URLhttps://agile-robots-se.jobs.personio.de/job/2650496?language=en
First Seen At2026-05-30 06:05:02Z
Last Seen At2026-06-06 07:54:12Z
Last Checked At2026-06-06 07:54:12Z
Last Changed At2026-05-30 06:05:02Z
Inactive At
Source Posted At2026-05-28 17:00:28Z
Source Updated At
Raw Payload Uris3://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
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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