Thesis worker - Context aware Natural Language Processing i Göteborg

The best place to work in the Global Automotive Industry. Join us on this exciting journey into the future, we want to hear from you!

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Thesis Worker at Volvo Cars

Welcome to explore the world of Volvo Cars by writing your thesis with us! As a thesis worker in our organization you are supported by a supervisor who follows you during your project. All thesis projects are arranged in business critical areas and therefore you will be able to contribute to our company purpose – providing freedom to move in a safe, sustainable and personal way – from day one! 



Attention is all you need! First came a paper which enabled neural networks to better understand context in text and images. Then GPT2 and GPT3 came, and things previously considered pure science fiction became reality. Finally, with opensource initiatives such as EleutherAI’s GPT-NeoX-20B, this technology has been democratized. Vast amounts of engineering related data exist in the form of free-form raw text, such as reports and experiment logs. Traditionally, text has been mainly a way for communicating information to other humans. But as text mining algorithms and especially Large Language Models becomes more and more capable these texts begin to open up as sources of data that can be fed into engineering products. This thesis will investigate methods using NLP to categorize and extract data from raw text to be fed into engineering & machine learning applications.


Available Project – Machine Understanding: Context-aware NLP
The thesis will be performed at the Vehicle Data & Diagnostics department at Volvo Cars and investigate modern context-aware NLP methods for text analysis. Using transformer-based Large Language Models (LLM), raw text has been transformed into semi-structured text as a first processing step. The next step, which this thesis will mainly focus on, would be to match the structured text to known categories and detect when a category might be missing. Example methods for this might be measuring in embedding spaces or training neural retrievers to match a given text.


•    Literature Review of research and methods for comparing and classifying text, with a focus on context aware methods such as GPT-based models.
•    Screening Analysis: Evaluation of methodologies for matching text for specific use case.
•    Analysis: Test performance of chosen methods on existing dataset.
•    Analysis: Evaluate pre-processing method to see if different type of pre-processing is needed, as well as evaluate state of data and potentially suggest better format on data.


Your contribution is our future
1-2 Master student(s) with a background in Applied Mathematics, Computer Science, or Data Science, NLP or similar education. Courses in Natural Language Processing, Machine Learning, Statistics will be useful. Should you have a co-worker in mind to work along with, don’t forget to include their name in the cover letter.


•    The duration of the Thesis is 20 weeks
•    The Thesis starts in January 2023 or earlier if possible.
•    30 ECTS (academic credits) if in agreement with your Thesis Advisor in University
•    This thesis is suitable for 1- 2 students
Be part of the change – apply today!
Selection will be ongoing during the application period, so do not hesitate to send in your application. Attach your CV and personal letter stating your interests within the given area and your thoughts and credentials.
Apply as soon as possible but no later than 2022-11-30!

Please note that due to GDPR, applications via email will not be accepted.


For questions about the thesis work, please contact Michael Wallgren Fjellander at


The thesis will be part of a portfolio of advanced engineering and research projects at Volvo Cars. For details and further questions, please feel free to reach out to us and we’ll take it over a cup of (virtual?) coffee!


We are Volvo Cars 
Volvo Cars is a company on a mission to bring traditional car manufacturing into a connected, sustainable and smart future. Since 1927, we've been known for our commitment to safety and for creating innovative cars that make life less complicated. In 2010, we decided to radically redefine our business, resulting in a totally new generation of cars and technology, as well as steady growth and record sales - and we're only getting started. By 2025, we aim to have yearly sales of 1.2 million cars, 50% of which will be electric vehicles and sold directly to customers through digital channels. We also intend to strengthen our position as a modern, progressive employer committed to diversity and gender and racial equality. We believe in the power of people. Join us and be part of Volvo Cars' transformation.

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