AI Research Internship

DNVOakland, CA
Onsite

About The Position

Group Research and Development (GRD) performs strategic and applied research for DNV, focusing on knowledge development through collaborations with academia and industry, providing thought leadership through external publications and forecasts, and creating scientific legitimacy for DNV services. A major focus for GRD is shaping the future of AI assurance. The AI Assurance research program focuses on both developing AI for assurance and assurance of AI, building expertise across AI, digital transformation, risk, and assurance science. We are seeking an intern to join our newly established AI Research Center in Berkeley, focused on methods for the safe and responsible use of embodied AI—intelligent systems that interact with the physical world, such as robots, drones, and autonomous vehicles. This is a research-focused internship where you will contribute directly to activities aimed at improving the safety and reliability of embodied AI systems.

Requirements

  • Currently pursuing a degree in a relevant field (e.g., Computer Science, Electrical Engineering, Robotics, AI, or related discipline)
  • Strong understanding of AI/ML concepts
  • Experience with programming languages such as Python
  • Familiarity with robotics, control systems, or related areas is a plus
  • Excellent analytical and problem-solving skills
  • Strong written and verbal communication skills

Nice To Haves

  • Experience with simulation environments (e.g., ROS, Gazebo)
  • Knowledge of formal methods or verification techniques
  • Prior research experience or publications

Responsibilities

  • Contribute to ongoing research projects and help define new research directions
  • Develop internal prototypes to test and evaluate methods relevant to embodied AI assurance
  • Document research findings in the form of reports, presentations, and scientific publications

Benefits

  • Opportunity to work on cutting-edge AI research
  • Mentorship from experienced researchers
  • Exposure to industry-relevant challenges
  • Potential for publication in scientific venues
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