Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. 

About us
The Advanced Analytics team within Volvo GTT is focused on delivering quality products based on data-driven approach. The team aims to improve the quality of the products, reduce development costs, and enhance customer experience through its connected services.

Thesis Description
The objective of this research is to design, implement, and evaluate a chatbot system capable of interacting with users and extracting pertinent information from data.

As a master thesis student, you will be working with customer data from workshop visits of Volvo trucks to create a chatbot for improving and aiding the technicians in vehicle service. Several ML models will be built/implemented, evaluated, and compared. You will work closely with the Advanced Analytics Team and have opportunity to collaborate with other domain experts.

In this thesis titled, ‘Chatbot for Vehicle Service Record’, you will be working with multilingual text data, focusing on developing machine learning models, particularly deep recurrent network, and transformer models to analyze the data corpus. You will begin by pre-processing and formatting the data. Thereafter you will investigate word embeddings and transformer fine-tuning. You will also need to design evaluation methods for your model and provide appropriate visualization for stakeholders. The performance and modularity of the code will also be a major focus of this thesis.

Objectives
•    Data Collection: Assemble a diverse dataset of text and numerical values from various domains to infer and evaluate the chatbot.
•    Algorithm Development: Implement state-of-the-art NLP and machine learning algorithms for natural language understanding, document analysis, and intent recognition. 
•    System Implementation: Develop a scalable and robust chatbot system integrating the algorithms, ensuring compatibility with different document formats, and providing a seamless user experience.
•    Development of a multilingual chatbot with historical context capabilities
•    Visual representation of data through NLP, incorporating numerical data analysis
•    Write a Master Thesis report and present the results at the company.

Qualifications & Required Documents
•    MSc Degree in Computer Science, Machine Learning, AI or a related field.
•    Proficiency in programming languages such as Python, also experience in relevant frameworks such as Pytorch, Keras, or Tensorflow
•    Have strong knowledge in deep learning methods, Generative AI, and transformer models.
•    Knowledge of Microsoft Azure is considered advantageous.

Please send your application including CV, Cover Letter, and Transcript of grades. If you have a project in this domain, it is appreciated if you include it.

Practical Information
•    Thesis Level: Master (30 ECTS points)
•    Language: English
•    Starting date: January 2025
•    End date: June 2025
•    Number of students: 2 students
•    Location: On-Site

Contact
Leila Jamshidian sales, Data Scientist, leila.jamshidian.sales@volvo.com 

last application date is 26th of November.
 

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. 

Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.