The goal of this thesis is to investigate the possibilities to deploy cloud-based machine learning models in Atlas Copco’s tightening tools. Areas to investigate will be requirements on the target platform and efficient ways to deploy and keep the tool updated.


Data Driven Services is currently designing a new cloud-based service for our Service Division. An essential part of the new service is analytics of production data. For various reasons it might be interesting to be able to deploy some of the cloud-based machine-learning models in the tool.


Your mission in this project will be to:

  • Investigate the existing tool hardware/software platform for an SXB-tool and determine/estimate how much capacity there is available for Machine Learning purposes.
  • Also identify key areas (hardware or software related) to improve ML capacity.
  • Find ways to integrate machine learning models in the tool platform.
  • Investigate ways to deploy and keep machine learning models up to date.
  • Deploy an existing machine learning model for trace analytics on an actual Tightening tool (SXB).

This project will be considered a success when the technical investigation is performed and the Trace Analytics Machine Learning model is implemented in the SXB tool, with an efficient way to upgrade the model with new versions from the Cloud.

Relevant educational backgrounds:

  • Electrical engineering
  • IT/Computer science
  • Other: Machine Learning

Level of thesis project:

  • Master thesis

You need to have interest and knowledge in embedded SW development, Machine Learning and basic computer hardware.
Some key competences:

  • Linux
  • C/C++
  • Python
  • Embedded SW development
  • Machine Learning

Additional information:

Our office is located in Sickla, Stockholm. Selection will be ongoing so if you are interested in the position, don't hesitate to apply!

As this is a project position for studies and not an employment, it does not qualify for seeking a work permit. We can therefore only accept applications from students who are either attending Swedish universities (i.e. already has a student visa) or, if they are attending universities abroad, are EU-citizens.

Company Presentation

Great ideas accelerate innovation. At Atlas Copco Industrial Technique we team up with our customers to turn industrial ideas into smart manufacturing assembly solutions and innovative industrial tools. Our passionate people, expertise and service bring sustainable value to industries everywhere.

We add value wherever we do business

The Atlas Copco Group serves customers through innovative compressors, vacuum solutions, generators, pumps, power tools and assembly systems. We are a global and diverse Group of many strong brands and around 34 000 employees representing different cultures in more than 180 countries. We have a wide range of positions so whatever your interests or area of expertise, we offer interesting challenges and the opportunity to grow.

Passionate people create exceptional things. We believe in challenging the status quo, always looking for a better way. Our leading edge technology enables us to innovate for a sustainable future. We believe that people make it happen and with us you are empowered to act. Your ideas can make a real difference and contribute to the quality of life for people everywhere.

Learn more at www.atlascopcogroup.com

Master Thesis - Deploying Machine Learning models in Handheld tightening tools



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