Danfoss

AI in Engineering: Delivering Incremental Improvements Across Danfoss R&D

Description of the company

Danfoss is a global engineering company that develops technologies for cooling, heating, power electronics, industrial automation, and energy-efficient solutions. With a strong focus on innovation and digitalization, Danfoss is exploring how Artificial Intelligence can improve engineering productivity, product development, and operational efficiency across R&D.

Situation

Artificial Intelligence is rapidly creating new opportunities to improve engineering processes and daily work. Across Danfoss R&D, many activities still involve repetitive tasks, manual data handling, information searches, documentation work, engineering analyses, and decision support. Recent advances in AI now make it possible to address these challenges in practical and scalable ways.

Problem

While many promising AI opportunities have been identified, it is often unclear which use cases provide the highest business value and how solutions can be designed for practical adoption. There is a need to explore, validate, and demonstrate AI-driven improvements that can enhance productivity, quality, and speed while integrating with existing engineering processes and tools.

Aims of the project

The aim of the project is to develop AI-based solutions that deliver measurable improvements in engineering and R&D activities. Students will work on real business challenges and help create prototypes, concepts, or proofs of concept that can support future deployment across Danfoss.

Scopes

Depending on the student's interests and background, the project may include one or more of the following areas:

• AI assistants for engineering activities and knowledge retrieval
• Automation of repetitive engineering tasks and workflows
• Engineering data analysis and decision support
• Simulation and digital engineering applications
• Robotics and intelligent automation concepts
• Product documentation and engineering knowledge management
• Business value assessment and implementation feasibility studies

Students will work closely with engineers and domain experts while gaining hands-on experience with modern AI technologies in an industrial R&D environment.

Target group (students)

We are looking for Master students with:

• Strong analytical and problem-solving skills
• Some experience in programming and AI
• Familiarity with product development and project management is a plus

Dates
Please save these dates: Fishing for Experience Termine

Registration
You can apply for Fishing for Experience online.