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Malt Strategy
Malt Strategy
Markus KnauerMK

Markus Knauer

Research Scientist for Physical AI

1.500 €/Tag
München, DE
8-15 Jahre
Python
Robotics
AI Agent
VLM/VLA
data-efficient

Durchschnittliche Reaktionszeit: 1h

Über Markus

Research Scientist and Ph.D. candidate at DLR / TUM with 5+ years of experience designing and deploying foundation-model-based robotic systems. First author on 7 publications in top venues (RA-L, ICRA, IROS, CoRL) spanning VLM/VLA-driven robot skill learning, interactive learning from demonstration, and continual learning. Co-developer of BlenderProc, a scalable open-source training-data pipeline (3,300+ GitHub stars). Experienced in cross-team collaboration with industry partners and EU consortia.

  • Englisch

    Verhandlungssicher

  • Deutsch

    Muttersprachlich oder zweisprachig

Vor Ort möglich
München (bis zu 50 km)

Projekt- und Berufserfahrung

  • German Aerospace Center (DLR)
    Research Scientist
    FORSCHUNG
    November 2020 - Heute (5 Jahre und 9 Monate)
    Munich Metropolitan Area, Germany
    • • Specialized in machine learning for robotics, focusing on robot skill learning through imitation and continuous adaptation.
    • • Developed multimodal human-robot interaction techniques using probabilistic machine learning and foundation models.
    • • Showcased innovative solutions at various fairs, demonstrating real-time problem-solving capabilities on actual robots.
    Robotics Python data-efficient Machine learning VLM/VLA
  • Technical University of Munich
    Teaching Assistant
    FORSCHUNG
    Oktober 2024 - Heute (1 Jahr und 10 Monate)
    Munich, Germany
    Machine learning in robotics combining safety, explainability and uncertainties from probabilistic machine learning together with semantic reasoning and understanding by foundation models (LLM, VLM, VLA) for robot skill learning and adaptation
    Machine learning VLM/VLA Teaching Interactive learning Imitation learning
  • German Aerospace Center (DLR)
    Masters Student
    FORSCHUNG
    November 2019 - September 2020 (10 Monate)
    Munich, Germany
    Working student, German Aerospace Center (DLR), Institute of Robotics
    and Mechatronics, Department: Perception and Cognition,
    Oberpfaffenhofen, Germany.
    Developed computer vision and deep learning solutions for robotic
    perception. Designed neural network architectures for online learning
    applications.
    Co-developed BlenderProc, a scalable open-source photorealistic
    rendering pipeline for generating large-scale synthetic training data
    (3,300+ GitHub stars, published at RSS 2020 and JOSS 2023)
Gesamte Berufserfahrung von Markus ansehen

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Ausbildung und Abschlüsse

  • Doktor / PhD
    Technical University of Munich (TUM)
    Doctoral candidate/Ph.D. (Dr. rer. nat.) in Computer Science, Major: Machine Learning, Artificial Intelligence, TUM School of Computation, Information and Technology (CIT), Technical University of Munich (TUM), Germany with Prof. Dr.-Ing. Alin Albu-Schäff
  • Probabilistic Machine Learning
    Pembroke College, University of Cambridge
    2025
    Probabilistic Machine Learning
Ausbildung und Abschlüsse von Markus ansehen

Fähigkeiten

Python
Git
GitHub
Gitlab
CI/CD
Machine learning
Deep Learning
LLM
VLM
VLA
Foundation Model
Agentic AI
Machine Learning Engineering
Robotics
Imitation Learning
Continual Learning
artificial intelligence
data-efficient robot learning
Pytorch
TensorFlow
Probabilistic machine learning
Teaching
Team Leading

Kategorien