Summer Student 2027 - Simulation Technologies

DNV; Trondheim; On-site; NOK 201,000 - 268,000; Part time

Benefits offered by this job

Real industry challenges

Direct contribution to research

Networking with professionals

Industry data experience

Career networking

Job summary

DNV in Trondheim invites two to three summer students for the Summer 2027 program to apply uncertainty quantification methods to co-simulation technologies that support the assurance of AI-enabled systems. You will work with the Simulation Trust Center (STC), DNV's cloud-based co-simulation platform, to process and validate evidence for ESA systems used in maritime autonomous ships.

You will develop and deliver a cloud-based service to configure, analyze, and visualize how uncertainties

Qualifications

• Curiosity and motivation to learn AI/ML and uncertainty quantification.
• Experience with data processing and AI/ML tools such as PyTorch, Scikit-learn, TensorFlow.
• Good communication skills in English.

Responsibilities

• Estimate uncertainties in black-box models within a co-simulation environment.
• Develop a cloud-based service to configure, analyze, and visualize results.
• Collaborate with STC team to understand uncertainty propagation in ESA-related systems.

Skills

Curiosity

Motivation

English communication

Education

Bachelor or Master in Data/CS/Math/Marine Tech

Tools

Python

PyTorch

Scikit-learn

TensorFlow

Microsoft Azure

CI/CD

Kubernetes

ROS

FMI/FMU

Job description

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

About Us

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.

As a trusted voice for many of the world's most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.

About Group Functions

Group functions in DNV are experts on finance and accounting, human resources, communication and sustainability, legal, tax and compliance – providing company-wide support, governance and strategic projects. Group also includes our strategic Research and Development unit, which provides science-based insights and foresight to tackle transformations and challenges across the industries we serve.

About The Role

The Research Lab team

in Trondheim is looking for 2-3 summer students for the Summer 2027 to join us in applying uncertainty quantification (UQ) methods to co-simulation technologies that support the assurance of AI-enabled systems.

You will work with the Simulation Trust Center (STC), DNV's cloud-based co-simulation platform, where users can upload, share, integrate, and simulate black-box digital twin models to generate evidence supporting the External Situation Awareness (ESA) system used in maritime autonomous surface ships.

The EAS system is a key enabler of future autonomous surface ships, providing the situational understanding required for autonomous decision-making. However, ESA systems operate in highly uncertain environments, where uncertainty arises from the wide range of operating conditions encountered at sea, as well as the inherent variability and unpredictability of the AI-enabled components and the surrounding environment. Uncertainties associated with individual components within ESA can propagate through the system and affect overall performance and decision-making. Quantifying and understanding these uncertainties is therefore essential for assessing and assuring the reliability of ESA systems as well as creating trust in the evidence generated by STC.

The summer students will work on estimating uncertainties in different types of black-box models within a co-simulation environment.They will also develop a cloud-based service integrated with STC to configure, analyze, and visualize the results, providing a better understanding of how uncertainties propagate through complex systems.

#summerjob

What We Offer

• An opportunity to work on real industry challenges and real industry data.
• Directly contribute to ongoing research.
• Valuable and real-life experience through our projects
• Meet other young professionals through established networks and informal events
• Opportunity to build a professional network

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.

About You

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

Application deadline: 16.10.2026. We will evaluate your application after the deadline.

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.