Digitalization Student Assistant
At Topsoe we’re leading the way in decarbonization, by supplying technology, catalysts, and services for the worldwide energy transition. It's a journey through science that we began over 80 years ago, with a philosophy to question the limits of possibility and inspire others to think further. Today, we’re a community of over 2,800 problem solvers who are working together to find the answers to the world's biggest challenges. So, whether your expertise is in engineering, operations or broader business roles, we’re all united by a desire to go solve. At Topsoe we value diversity, embrace differences, and we are constantly committed to creating a culture, where everyone feels safe, valued, respected, and included.

We are headquartered in Denmark and have offices and operations globally. Find out more at topsoe.com.

We are right now in the process of pushing out a scientific platform to the entire organization. The platform provides easy access to a Python based toolbox as well as AI coding tools. The role should help us drive adoption of this platform, and you will be part of a great team and work closely with scientists at Topsoe.

Your tasks will include:

• Show the organization the speed and flexibility gained from the new platform. 
• Working with AI skills, AI coding and data analysis using multiple data sources.
• Take individual activities together with scientists regarding lab automation. 
• Be first line helper when roadblocks occur along the way. 

What you’ll bring

• You are ideally on the 3rd-5th semester towards a master’s in computer science, Statistics / Modelling, Chemistry or similar. 
• You have a keen interest in Data and Analytics – specifically using a Python toolbox. 
• You are self-driven, solution oriented, efficient, and structured
• You come with a curious mindset – and a keen interest to learn new things. 
• Enjoy working in an organization undergoing rapid and transformational change. 

We expect you to work around 15 hours weekly - possibly more during summer breaks and we are of course flexible during exam periods.

How you can apply Please contact Head of R&D Analytics & Data Science, Mark Hoffmann mhof@topsoe.com or +45 61 67 57 12 if you want to know more about the position.

If you would like to be part of a team of skilled and professional colleagues in an informal organization, please submit your application and resume in English by clicking "Apply" below.

Screening and interviewing will happen as applications arrive, so don’t hesitate to send an application today.

Application deadline  March 24, 2026