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Internship - Humanoid Motion Generation (Diffusion or Flow Matching)(m/w/x)
Generating whole-body trajectories for humanoid robots using diffusion models. Master's or PhD in CS, Robotics, or ML required. Work on cutting-edge perception and interaction.
Anforderungen
- Pursuing Master's or PhD in CS, Robotics, ML, or related field
- Experience in diffusion models/flow matching or learning-based trajectory generation
- Familiarity with generative modeling for time series data
- Excellent Python and PyTorch skills
- Strong analytical and problem-solving skills
- Ability to implement state-of-the-art methods from literature
- Preferable: autonomous research/project work in human motion generation, robotic imitation learning, or ego-centric action prediction
- Experience in robotics (plus)
- Experience with simulation environments (plus)
- Experience with multi-modal generative models (plus)
- Experience with finetuning foundation models for actions/kinematics (plus)
Aufgaben
- Work at the intersection of generative whole-body trajectory generation and 3D environment perception
- Utilize diffusion models, flow matching, and/or auto-regressive models for trajectory generation
- Push boundaries of humanoid robot perception and interaction
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- diffusion models
- flow matching
- generative modeling
- foundation models
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Internship - Humanoid Motion Generation (Diffusion or Flow Matching)(m/w/x)
Generating whole-body trajectories for humanoid robots using diffusion models. Master's or PhD in CS, Robotics, or ML required. Work on cutting-edge perception and interaction.
Anforderungen
- Pursuing Master's or PhD in CS, Robotics, ML, or related field
- Experience in diffusion models/flow matching or learning-based trajectory generation
- Familiarity with generative modeling for time series data
- Excellent Python and PyTorch skills
- Strong analytical and problem-solving skills
- Ability to implement state-of-the-art methods from literature
- Preferable: autonomous research/project work in human motion generation, robotic imitation learning, or ego-centric action prediction
- Experience in robotics (plus)
- Experience with simulation environments (plus)
- Experience with multi-modal generative models (plus)
- Experience with finetuning foundation models for actions/kinematics (plus)
Aufgaben
- Work at the intersection of generative whole-body trajectory generation and 3D environment perception
- Utilize diffusion models, flow matching, and/or auto-regressive models for trajectory generation
- Push boundaries of humanoid robot perception and interaction
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PyTorch
- diffusion models
- flow matching
- generative modeling
- foundation models
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Flexion Robotics
Branche
IT
Beschreibung
Flexion builds the intelligence layer for next-gen humanoid robots, accelerating their real-world deployment.
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