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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in programming humanoid robots, applying AI techniques such as reinforcement learning and imitation learning, and developing teleoperation strategies for complex environments. Proficient in collaborative coding and simulation for human-robot interaction and performance validation.
Highest-signal resume keywords
Programming Experience With PythonProgramming Experience With C++Knowledge Of Control PrinciplesExperience With GitFamiliarity With XR Environments
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Reinforcement LearningImitation LearningPredictive Models3D MathematicsSimulation EnvironmentsState-Estimation ApproachesRobot-Operation StrategiesLocomotion ProgrammingBalance BehavioursHuman-Robot Interaction
Soft Skills
Good Knowledge Of EnglishGood Knowledge Of FrenchInterest In Humanoid Robotics
Industry Keywords
Humanoid RoboticsTeleoperationAgentic WorkflowsSpace RoboticsEuropean Export Control Regulations
Tech Stack
Tools & technologiesPythonC++
About the role
Key responsibilities & impact- Work directly with a humanoid robot platform
- Program locomotion and balance behaviours for humanoid robots on uneven terrain
- Develop robot-operation strategies for constrained conditions, including extreme lunar-south-pole lighting
- Explore XR-based teleoperation and supervisory control interfaces for astronauts and operators
- Apply AI techniques including reinforcement learning, imitation learning, and predictive models to locomotion, teleoperation, and human–robot interaction
- Investigate predictive simulation and state-estimation approaches to mitigate communication latency in off-Earth teleoperation
- Contribute to safe and usable human–robot interaction methods for shared tasks
- Support simulation, benchmarking, and hardware validation of behaviours and interaction methods
Requirements
What you’ll need- Must be a university student, preferably in the final or second-to-last year of a Master's-level university course
- Must be able to prove enrollment at university for the entire internship duration
- Good knowledge of English or French required
- Knowledge of another ESA Member State language is an asset
- Studies in robotics, computer science, mechatronics, AI, or a related engineering field
- Programming experience with current frameworks such as Python and C++
- Understanding of control principles, algorithms, and 3D mathematics
- Interest in humanoid robotics, teleoperation, and human–robot interaction
- Experience with Git and collaborative coding
- Experience with agentic and AI-enhanced workflows
- Applicants must be eligible to access information, technology, and hardware subject to European or US export control and sanctions regulations
- Applications considered only from nationals of Austria, Belgium, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, Switzerland, and the United Kingdom
- Familiarity with XR environments, simulation environments, reinforcement learning, imitation learning, predictive simulation, and space robotics is desirable
Benefits
Comp & perks- Equal opportunity and inclusive working environment
- Workplace support and recruitment-process assistance for individuals with disabilities
- Internship learning opportunities in humanoid robotics hardware, locomotion, control, XR teleoperation, AI, predictive simulation, and human–robot teaming