Master Thesis: Applying machine learning to engine data to unravel usage patterns

Location: 

Göteborg, SE, 417 15

Position Type:  Student

Volvo Penta has a vested interest in utilizing and understanding vast amounts of data. As Martin Lundstedt (Volvo Group President and CEO) recounts, “It’s important to have good data management and ownership [of data], because then on top, you can create a lot of smart solutions.” 

 

To that end, we at Volvo Penta Data Science & Engineering (VPDS&E) have applied data engineering principles to build a large-scale data lake. This has enabled us to create a data-driven and cloud-native workflow for advanced analytics using Microsoft Azure and Databricks. Along with our data-driven workflow, data engineering and analytics have enabled us to reach valuable strategic conclusions and optimizations. 

 

During this endeavor, technologies such as Artificial Neural Networks (ANN), evolutionary algorithms, semantic segmentation, and various clustering techniques have become core components of our current workspace. The most recent thesis project at VPDS&E created a deep learning process for detection and semantic segmentation of engine drive cycles. 

 

We at VPDS&E are now committed to taking the next step in our advanced analytics journey. 

What you will do

This thesis will focus on exploration of engine clustering, using detailed Field Test data to complement an ongoing research project at Penta. There are a multitude of avenues for this data mining exploration, and we encourage applicants to bring their own suggestions. Some approaches that are to be investigated are improved extraction of clustering features, outlier detection, correlating clusters with fault codes, and pattern recognition in time series. The aim is to build a feature library enabling greater insights into engine usage patterns.


If this type of project sounds interesting, we would like to have a meeting with you where we can further discuss your thesis. As stated, we are also open to other avenues of investigation that you may be thinking of. 
 

Who are you?

Do you dream big? We do too, and we are excited to grow together. In this role, you will bring: 

 

A Master student in any of the following fields or related disciplines: 

 

  • Artificial Intelligence 
  • Computer Science 
  • Data Science 
  • Machine Learning 
  • Physics 
  • Mathematics

 

Knowledge of machine learning algorithms, big data and programming proficiency.

What’s in it for you?

We offer a great team to support you, plus you will enjoy:  

 

Working with a selection of tools and technologies we currently use in day-to-day operations such as:

  • Azure
    • DevOps
    • Data Factory
    • Functions
    • Cosmos DB
    • SQL Server
    • Synapse
  • Python (Required)
  • SQL
  • Databricks
  • Apache Spark (PySpark)
  • Power BI

 

By working on this master's thesis in Artificial Intelligence, you will gain hands-on experience with cutting-edge AI technologies, enhancing your technical skills in machine learning, data analysis, and algorithm development. You will also have the opportunity to collaborate with industry experts, contribute to innovative research, and position yourself as a competitive candidate in the rapidly growing AI job market. Plus, your work could have a real-world impact, advancing the field of AI and its applications.

Ready for the next move?

Are you excited to bring your skills and disruptive ideas to the table? We can’t wait to hear from you. Apply today! PS. We think it is important to work as a team, so this is a master thesis for 2 students. DS.

 

Contact: 

Andreas Nyman, Manager Data Science & Engineering, andreas.nyman@volvo.com, +46 73 9028543

 

Last application date: September 20th.


We value your data privacy and therefore do not accept applications via mail. 


Who we are and what we believe in 
Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.


Applying to this job offers you the opportunity to join Volvo Group. Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. 

 

Volvo Penta, a world-leading supplier of engines and complete drive systems for marine and industrial applications, you will be part of a global and diverse team of highly skilled professionals who works with passion, trust each other and embraces change to stay ahead. We make our customers win.

Job Category:  Technology Engineering
Organization:  Volvo Penta
Travel Required:  No Travel Required
Requisition ID:  13615

Do we share the same aspirations?

Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society.

Joining Volvo Group, you will work with some of the world’s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity.

Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect.

If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.