DTU Tenure Track Researcher in Autonomous Marine Systems - DTU Electro

DTU Tenure Track Researcher in Autonomous Marine Systems – DTU Electro

We warmly invite outstanding early‑career scientists to apply for a tenure‑track researcher position in Autonomous Marine Systems, offering a rare opportunity to shape both a scientific career and the future of ocean technologies. This position empowers talented scientists to pursue bold, curiosity‑driven research, build an independent profile, and turn ideas into impactful solutions. Working at the frontier of autonomy and robotics, the successful candidate will contribute to technologies that enable deeper understanding and sustainable use of the oceans, with influence across a growing range of societal, environmental, and industrial applications.

This is an invitation to grow as a scientific leader while making a lasting, positive impact in a field of global importance.

Your overall focus will be to strengthen the department’s vision and expertise in artificial intelligence for autonomous systems, contributing to the development of intelligent, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision‑making under uncertainty, multimodal information fusion, and foundational models for robot intelligence, with applications that naturally extend to marine and maritime domains.

You will work closely with colleagues across the department and engage in strong collaborations with academic and industrial partners in Denmark and internationally.

Your primary responsibilities will include:

• Establishing and leading an independent research agenda and driving its realization through a combination of activities including securing competitive funding at national and European levels, building new collaborations within DTU and with external stakeholders, and initiating high‑impact scientific publications in collaboration with leading national and international researchers.
• Supervising BSc and MSc student projects and serving as co‑supervisor for PhD students.
• Contributing to teaching activities within the BSc and MSc programs in Electrical Engineering and Autonomous Systems.
• Developing operational guidelines and best practices for the continuous advancement of the department research infrastructure in autonomous marine robotics and promoting the adoption of modern CI/CD principles among junior scientific staff.
• Supporting and strengthening a culture of scientific openness, including reproducible research, collaboration, and knowledge sharing.

• A PhD in Electrical Engineering, Robotics, Computer Science, Artificial Intelligence, or a closely related field, with a strong focus on autonomous systems.
• Demonstrated research expertise in one or more core areas of AI for autonomy, such as:
  Robot control and learning‑based control;
  Decision‑making under uncertainty (e.g., planning, reinforcement learning, probabilistic reasoning);
  Multimodal information fusion and state estimation;
  Foundational or representation learning models for robot intelligence.
• A strong publication record in leading international journals and conferences relevant to robotics, AI, or autonomous systems, commensurate with career stage.
• Emerging ability to attract competitive research funding at national and European levels.
• Experience with experimental and/or field robotic systems, ideally including real‑world deployment in challenging environments.
• Solid competence in research software development, including version control, testing, and reproducible research workflows; familiarity with CI/CD practices is an advantage.
• Experience with supervision of BSc and MSc student projects and educational activities in areas such as autonomous systems, robotics, AI, or control.
• Excellent collaboration skills, with the capacity to work effectively in interdisciplinary and international research teams.
• Strong communication skills, enabling clear dissemination of research results to academic, industrial, and societal audiences.

You must contribute to the teaching of courses. DTU employs two working languages:
Danish and English. You are expected to be fluent in…