Who are we looking for?
We are looking for curious and motivated students who are interested in AI and machine learning methods, uncertainty quantification, digital twins and simulation-based development.
Curiosity, initiative and a willingness to collaborate with others to solve technical challenges
Good communication skills in English.
Experience with data processing and AI/ML tools such as PyTorch, Scikit-learn, Tensorflow etc. Understanding in Bayes theorem, Bayesian networks and uncertainty quantification.
Computer vision algorithms, Robot Operating System (ROS), sensor fusion principles, and knowledge in FMI/FMU are an advantage.
Python, Microsoft Azure, CI/CD, Kubernetes. Experience in Clojure or functional programming is a plus (not mandatory).
If you do not meet every qualification listed above, we still encourage you to apply.
We are primarily seeking 3rd and 4th year students with relevant Bachelor/Master Program specialization in:
- Data and AI/ML
- Computer Science / Information Science
- Mathematics
- Marine Technology
- Cybernetics / Robotics
- Physics
Interested? How to apply:
To be considered for this role, please register your CV, application letter, and grade transcripts in our application tracking system (Oracle) electronically. All documents should be in English. If you choose to apply for more than one role in DNV, please state your preference in the application letter.
Please note: if you either decide to withdraw or want to make changes in your application, you will need to submit a whole new application with a new email address. Please have all documents ready before submitting your final application.
Application deadline: 16.10.2026. We will evaluate your application after the deadline.
Any questions? Please contact Andreas Hafver at Andreas.Hafver@dnv.com
We are looking forward to reviewing your application!
Security and compliance with statutory requirements in the countries in which we operate is essential for DNV. Background checks will be conducted on all final candidates as part of the offer process, in accordance with applicable country-specific laws and practices.