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PhD Researcher in Machine Learning and Robotics

vor 2 Monaten


Karlsruhe, Baden-Württemberg, Deutschland Karlsruher Institut für Technologie Vollzeit
Join Our Research Team

We are seeking a highly motivated and talented PhD researcher to join our Machine Intelligence and Robotics Lab at the Karlsruher Institut für Technologie (KIT). Our lab is focused on developing cutting-edge machine learning and robotics solutions for real-world applications.

About the Position

We are looking for a researcher with a strong background in machine learning, robotics, and computer vision. The successful candidate will design and implement an energy-efficient solution for edge AI using neuromorphic architectures that minimize the energy footprint by exploiting brain-inspired spike-based computing paradigms.

Responsibilities
  • Design and implement an energy-efficient solution for edge AI using neuromorphic architectures
  • Develop and integrate multimodal event-based sensor sources for use in an unstructured dynamic environment
  • Collaborate with our international team to develop cutting-edge machine learning approaches for dynamic force-based assembly, grasping, and positioning tasks
  • Contribute to the development of robust and energy-efficient multimodal sensing systems using spiking neural networks (SNN) for event-based sensor data
  • Design and implement an adaptive bio-inspired, neuromorphic perception architecture and integrate it on a mobile legged robot
Requirements
  • Master's degree in computer science, mechanical engineering, electrical engineering, mechatronics, or a related technical or scientific field
  • Profound experience in robotics, machine learning, and/or computer vision
  • Background in neuromorphic computing, Spiking Neural Networks (SNN), and/or event-based sensors
  • Strong programming skills in C++ and/or Python
  • Previous experience of working with the ROS/ROS2 software framework
What We Offer
  • A stimulating environment to innovate and develop cutting-edge machine learning approaches
  • The opportunity to enhance your expertise in creating robust and energy-efficient multimodal sensing systems
  • A chance to design and implement an adaptive bio-inspired, neuromorphic perception architecture
  • Extensive opportunities to collaborate and communicate within an international project focused on event-based neurorobotics
  • Hands-on experience in developing software architectures and components, particularly with ROS/ROS2
  • Continuous support for your personal and professional growth, including training and career development opportunities
How to Apply

Please submit your application, including your CV, a cover letter, and contact information for at least two academic or professional references, to [insert contact information]. We look forward to hearing from you