Summer Student 2027 - Risk, Simulation and Digital Evidence

Location: Oslo, Norway Department: No Career Track

We are looking for students in their 3rd or 4th year of studies who are interested in simulation, complex systems, uncertainty and the future of safety-critical technology.

Modern engineering systems are increasingly supported by simulations, digital twins, AI models and large volumes of operational data. A fundamental challenge is understanding when these models can be trusted and how their results can be used to support important engineering and safety decisions. In this project, you will explore how simulations, risk assessments and operational data can be used to build confidence in complex engineering systems.

Working together with students focusing on assurance and system understanding, you will investigate questions such as:

How can we model and understand uncertainty in complex systems?

How can simulations be used to support engineering decisions?

What makes a digital twin trustworthy?

How can evidence be generated, validated and communicated?

How can we determine whether a model is sufficiently accurate for its intended purpose?

How can future classification and certification processes make use of simulation-based evidence?

The work combines elements of simulation, risk analysis, uncertainty quantification, AI-enabled engineering and decision support for complex technical systems.

#summerjob

Working together with students, focusing on simulation and risk analysis, you will investigate questions such as:

How can we understand the impact of design changes, software updates or maintenance actions?

How can requirements be traced throughout the lifecycle of a system?

What information is needed to justify confidence in a safety-critical system?

How can engineering evidence be structured and updated as systems evolve?

How can future classification and certification processes become more digital, dynamic and data-driven?

The work combines elements of systems thinking, software engineering, safety, AI-enabled engineering and decision support for complex technical systems.

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.

We are looking for students with interest in:

Engineering Physics

Applied Physics and Mathematics

Computer Science

Marine Technology

Engineering Cybernetics

Nuclear Engineering

Data Science

Experience with some of the following is beneficial:

Numerical methods

Statistics

Scientific computing

Simulation and modelling

Python programming

Machine learning

Risk analysis

Uncertainty quantification

Interested? How to apply:

To be considered for this role, please ensure that you upload your CV, application letter, and grade transcripts in our application system. The CV and application letter must be submitted in English. Students without this information will not be considered.

If you choose to apply for more than one role in DNV, please state your preference in your application letter.

Application deadline: October 16th 2026 at 23.59 CET. We will evaluate your application after the deadline and thank you for your patience.

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.

Any questions? Please contact Ole Christen Reistad, +47 93266908

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.