Student Worker — Marine Engine Digital Twin Development (Python)

Everllence; Roskilde; On-site; DKK 312,000 - 379,000; Part time

Benefits offered by this job

Flexible study schedule

Mentorship and peer support

Informal work environment

Rooftop canteen lunch options

Job summary

Everllence offers an exciting industrial PhD project focused on real‑time marine engine digital twins. You will help automate, validate, and scale the framework, enabling easier setup and usage across engine configurations and test scenarios.

You will work with a PhD researcher, develop data‑driven models, and contribute to turning a research prototype into a practical tool for industry. The role blends software, simulation, and engineering research in a supportive team.

Qualifications

• Are pursuing a degree in Engineering, Computer Science, or a related field, with strong Python programming skills.
• Fluent in written and spoken English.
• Able to work independently while collaborating efficiently with others.

Responsibilities

• Improve and extend Python tools used to automate the process of building digital twins, including managing simulation parameters and handling different engine configurations.
• Develop automated simulation and testing scenarios to validate digital twin performance across operating conditions.
• Support collaboration with domain experts from different engineering disciplines to understand technical challenges and help develop practical solutions in the simulation framework.
• Support the validation of digital twins by comparing simulation results with measurements obtained from real engines.

Skills

Python

English fluency

Independent work

Education

Engineering/Computer Science degree

Tools

C++

Simulation tools

Automation scripting

Job description

New technology. Great potential. Help us unlock it.

Everllence is exploring digital twins to improve development, diagnostics, and day-to-day operations of some of the world’s largest marine engines. In practice, this means developing marine engine simulations that run together with the same engine control software that operates on the actual engine, reproducing real engine behaviour in real-time. These digital twins can be used to test operating scenarios, evaluate control strategies, and support engineering decisions.

The position is part of an ongoing industrial PhD project focused on real-time marine engine digital twins. The core technology already exists; the challenge now is to transform a promising research prototype into a practical engineering tool that can be used across multiple engine platforms. This is where you come in.

We are looking for someone to help automate, validate, and scale this framework. In practice, this means making it easier to set up and use these digital twins. You will also support the exploration of new applications to bring this technology closer to real-world use.

What you will do

• Improve and extend Python tools used to automate the process of building digital twins, including managing simulation parameters and handling different engine configurations.
• Develop automated simulation and testing scenarios to validate digital twin performance across operating conditions.
• Support collaboration with domain experts from different engineering disciplines to understand technical challenges and help develop practical solutions in the simulation framework.
• Support the validation of digital twins by comparing simulation results with measurements obtained from real engines.

The project also seeks to explore data-driven modelling of complex engine processes, such as combustion and scavenging, with the goal of developing real-time engine behaviour models. This area offers several interesting research opportunities and could form the basis of a master's thesis project.

A day in your new role

You meet with the project leader to discuss ongoing work and identify opportunities to improve the digital twin development process. Together, you define small technical tasks that can reduce manual work and make the overall setup of a digital-twin more efficient.

Later, you work on automating the setup of a simulation scenario used to verify that a digital twin behaves as expected. While reviewing the results, you notice a discrepancy between the simulated and expected behaviour. You document your findings and discuss possible causes and solutions with the team.

It is hands-on, technical work at the intersection of software development, simulation, and engineering research — and there is always someone available to help when you get stuck.

We imagine that you:

• Are pursuing a degree in Engineering, Computer Science, or a related field, and have strong Python programming skills
• Can work 10–15 hours per week, with flexibility around exams.
• Are fluent in written and spoken English
• Are able to work independently while collaborating efficiently with others

Bonus qualifications:

• A curious mind and a willingness to learn about the multidisciplinary world of marine engines, simulation, and software.
• Familiarity with C++
• Experience with simulation, modelling, or numerical methods.
• Good communication skills
• Experience building small software tools or automating repetitive tasks.

Welcome to ECSSIM

As part of the ECSSIM team in the LDED department at Everllence, you will contribute to the development of virtual large marine engines. The work focuses on bridging simulation, software, and engineering to support the development, testing, and validation of engine technologies.

You will work closely with a PhD researcher who is leading the development of the digital twin framework. He combines experience in simulation, marine engine technology and mentoring, and is committed to creating an environment where curiosity, learning, and technical growth are encouraged.

What we bring to the table

• A high-impact role to help develop a technology that could play an important role in the future of the maritime industry.

• A unique opportunity to work directly with a PhD researcher and gain hands-on experience with industrial research and development.

• A workload that adjusts around your study schedule and exam periods

• An informal work environment with a good atmosphere and a high degree of helpfulness

• Mentorship and peer support from experienced engineers

• Rooftop canteen with healthy and varied lunch options

Are you a student ready to apply your theoretical knowledge in practice?

We offer you the opportunity to connect your education with valuable practical experience in a large international company, where diversity and inclusion drive innovation, enabling us to create cutting-edge energy solutions.

At Everllence we have a Student Network created by students for students. Its purpose is to connect students across Denmark, fostering strong academic and social relationships across various departments. This network also offers an opportunity to expand academic connections, potentially paving the way for a future career at Everllence.

In 2027, we will consolidate our Zealand locations into one large site in Trekroner, Roskilde.

Build your future with us

Questions? You are welcome to contact PhD Researcher, Bruce Durbano by email [e-mail].

We aim for a fair and inclusive recruitment process. Regardless of gender, age, religion, disability, or ethnic background, we encourage you to apply. We embrace a global mindset and intercultural environment to ensure a collaborative and inclusive workplace. If you need support, such as assistive tools for dyslexia, we can assist you.

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Application deadline: Apply no later than 25. September 2026

Lokation: Teglholmsgade 41, 2450 København SV