PhD Research Internship – Robotics Engineer (VLM / VLA Models)
Berlin / PotsdamFull-timePosted 6mo ago
About the role
PhD candidate role focusing on Vision-Language Models and Vision-Language-Action systems in industrial robotics, bridging multi-modal perception with real-world autonomous execution in heavy industries. Strong research component with opportunities to publish and contribute to novel methods.
Responsibilities
- Design and develop novel approaches for Vision-Language-Action systems in real-world industrial settings
- Explore scalable architectures for multi-modal reasoning and action generation
- Contribute to advancing state-of-the-art methods in embodied AI and robotic autonomy
- Lead the design and analysis of large-scale multi-modal datasets (video, radar, lidar, sensor fusion)
- Develop self-supervised or weakly supervised dataset generation pipelines for VLA training
- Investigate data-centric approaches to improve robustness and generalization
- Build, adapt, and extend cutting-edge GenAI models (e.g., VLMs, VLA frameworks)
- Apply advanced fine-tuning strategies (e.g., parameter-efficient tuning, alignment methods)
- Explore prompt optimization, reasoning augmentation, and action grounding techniques
- Design rigorous evaluation protocols for embodied AI systems in industrial contexts
- Run large-scale experiments, analyze performance, and iterate systematically
- Benchmark models against state-of-the-art approaches and internal baselines
- Collaborate with engineering teams to transition research prototypes into production-ready systems
- Optimize models for real-time inference, robustness, and safety in heavy-industry environments
- Document findings and contribute to research publications, technical reports, or patents
- Present results internally and potentially at leading conferences
Qualifications
- Current enrollment in a PhD program in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field
- Strong programming skills in Python and deep learning frameworks (e.g., PyTorch)
- Solid understanding of machine learning, deep learning, and multi-modal models
- Proven ability to conduct independent research and drive projects from idea to results
- Strong analytical thinking and problem-solving skills
Skills
Required:Vision-Language Models (VLMs)PythonPyTorch
Nice to have:Embodied AIMulti-modal data (vision + sensor fusion)Research publication/publications
Benefits
- Attractive compensation package and stock options
- Beverages on-site and regular social events
- Engage with top-tier researchers, engineers, and thought leaders
- Influence the future of robotic technologies and tackle significant technological challenges
- Assistance with relocation to Berlin
Last updated Jul 23, 2026. Interested? Apply on the company site.
About Sensmore
Heavy machinery. Light years ahead.
Equip your machinery with autonomy built for the harshest conditions. Enhance safety, reduce costs, and increase efficiency with our advanced radar technology.
Heavy machineryAutonomyRadar technology
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