Master Thesis - Developing an Intelligent Data-Driven Chatbot, Volvo Group

"Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."

The Virtual Product Development and Digital Services (VPD & DS) team within Volvo Group Trucks Technology (GTT) and Volvo Group is focused on delivering quality products based on fact-based decisions and a data-driven approach. The team aims to improve the quality of the products, reduce development costs, and enhance customer experience through its connected services.

We are looking for 2 Master Thesis students to join our team, developing an Intelligent Data driven Chatbot for enhanced information retrieval and interaction.

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.

Are you excited to bring your skills and disruptive ideas to the table? We can’t wait to hear from you. Apply today! 

Objectives:

* Data Collection: Assemble a diverse dataset of text and numeral values across various domains to train 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. Fine-tune these algorithms using the collected dataset.
* System Implementation: Develop a scalable and robust chatbot system integrating the algorithms, ensuring compatibility with different document formats, and providing a seamless user experience.
* Write a Master Thesis report and present the results at the company.

Qualifications & Required Documents:

* MSc Degree in Computer Science, Machine Learning, or a close related field.
* Proficiency in programming languages such as Python, also experience in relevant frameworks such as Pytorch, Keras, or Tensorflow.
* Knowledge in deep learning methods, Generative AI, and transformer models.

More information and application:

* Thesis Level: Master (30 ECTS points)
* Language: English
* Starting date: January - February 2024
* Number of students: 2 students

Application:
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 in you application.
For more information contact: Leila Jamshidian Sales, Data Scientist. [email protected]
We value your data privacy and therefore do not accept applications via mail. 

References:
Bhoir, Snehal, Tushar Ghorpade, and Vanita Mane. "Comparative analysis of different word embedding models." 2017 International conference on advances in computing, communication and Control (ICAC3). IEEE, 2017.
https://huggingface.co/transformers/v3.2.0/custom_datasets.html 

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.