Master Thesis Student

Are you nearing the end of your studies? Are you passionate about using technology and your creativity to make an impact? Do you want a chance to grow professionally at a place with great colleagues and where work-life balance is a top priority?

SKF is now looking for

Master Thesis Students

SKF is spearheading the green transition in the bearing business. Here in the north, we are developing and maintaining software, firmware, and hardware solutions for the industry in condition monitoring which aids that green transition. Our IoT solutions provide detailed health information and actionable insights into our customers’ machinery to foresee failures and prevent downtime. We are now taking our experience and combining it with the latest technology in our next big initiative to develop the next-generation condition monitoring ecosystem.

We offer several opportunities for master's thesis projects, which are loosely outlined below and can be further detailed during the interview and selection process. Join SKF and embark on an exciting journey in your academic and professional career. This is a unique chance to work on innovative projects that will challenge and enhance your expertise. You will be part of a dynamic team that values innovation, creativity, and strong collaboration.

Master thesis projects

Applied AI in Product Testing

Purpose: Benchmark and assess how artificial intelligence tools can be applied in the testing and verifying condition monitoring products. Objectives are reduced test development time, improved report generation, and increased traceability.

Profile: Student with a strong passion for applied AI, and an educational background in computer science or embedded systems.

Automation and Digitalization in Supply Chain Management

Purpose: Explore how digital tools can be used to extract and maximize the value out of available supply chain data sets.

Profile: Student with an educational background in supply chain management, logistics, or equivalent.

Data Reduction for Condition Monitoring Data

Purpose: Explore data reduction techniques to optimize the performance of condition monitoring systems. This could involve developing algorithms to reduce the amount of data that needs to be processed while maintaining accuracy.

Profile: Student with a strong interest in coding, and an educational background in computer science or equivalent.

Edge Computing for Data Processing

Purpose: Explore the usage of edge computing to process data closer to the source. Develop and evaluate edge computing architectures for real-time data processing. Compare the performance and efficiency of edge computing with traditional cloud-based processing.

Profile: Student with a strong interest in coding, and an educational background in computer science or equivalent.

Accurate Speed Calculations from Data

Purpose: To explore and understand how an accurate machine speed can be calculated based on multiple vibration data sources and the understanding of machine kinematics. For online installations, a tachometer is often installed to measure the speed, but this is cumbersome and costly. Therefore, a lot of money and time can be saved if this can be done automatically based on vibration data only.

Profile: Student with a strong interest in coding, and educational background in computer science or equivalent. Experience in mechanical engineering.
 

Supplier Quality Control

Purpose: To develop efficient Supplier Quality processes that enable continuous control and improved collaboration with our global supplier base. The objectives include evaluating and assessing current supplier issues using statistical methods, reviewing available and applicable processes within SKF, and developing tailored processes for the SKF Luleå Development Center.

Profile: We seek a student with a keen interest in process development and a passion for using statistics to enhance current ways of working. The ideal candidate will be proactive, detail-oriented, and eager to contribute to our organization's continuous improvement efforts.

Some additional information

The thesis work spans 20 weeks and is scheduled to begin in September 2025, or as per agreement. This immersive experience will primarily be based at our SKF office in Luleå, Sweden, offering you the chance to engage directly with our seasoned professionals and gain invaluable hands-on experience.

We encourage you to seize this opportunity to contribute to impactful projects that drive real-world solutions. For any questions regarding the master thesis positions, please reach out to Rikard Almqvist at rikard.almqvist@skf.com.

    
Are you interested?  
Are you ready to take the next step in your academic journey? Don’t hesitate to submit your application and CV. Please remember to indicate which thesis subject you are most passionate about. We welcome continuous applications from enthusiastic and ambitious students ready to make a difference.