Master Thesis - Advanced Machine Learning for Cab Climate Modeling
Göteborg, SWEDEN IT development
Job description
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
Thermal Management is a department within Volvo Group Trucks Technology with the responsibility for developing optimized Vehicle Thermal Management Systems for all truck brands within the Volvo Group.
As a master thesis student in the Data Analytics and Machine Learning team within the Thermal Management department you will be a valued contributor to our continuous learning. You will be surrounded by a global and diverse team of highly skilled and engaged colleagues who will be interested in the progress of your work and eager to help and support you along the way.
This is an opportunity for you to apply your academic learnings in Machine Learning on an advanced, hands-on industrial application by performing your master thesis project at Volvo Group Trucks Technology.
Description of tasks and expected outcome
• Build, train and verify a Fast Running Model of a Truck Cab Climate System using advanced Machine Learning techniques
• Documentation and presentation of the approach, methodology and key findings is expected
Suitable background
This master thesis is a complex task that requires analytical skills and a deep understanding of tools and methodologies for Machine Learning. In order to be successful in this master thesis project we believe that it is important that you recognize yourself in the following description.
• Final year student in Master program for Automotive, Physics, Mechatronics, Mechanical, Electrical Engineering or similar
• Solid programming skills in Python
• Genuine interest and advanced level training for Machine Learning techniques including Reinforcement Learning and Deep Learning
• Fundamental understanding of thermodynamics, with emphasis on fluid mechanics and heat transfer
• Knowledge of vehicle technology and vehicle thermal management systems
• Analytical mindset and problem-solving skills
• Fluent in English
Thesis level: Master, 30 ECTS credits
Number of students: 1-2
Last Date for Application - 12-Dec-2024
Start date: January 2025, or upon agreement
Location: Volvo Lundby site, Gothenburg, Sweden
We look forward to receiving your application!
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.
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.
Job Category: Technology Engineering
Organization: Group Trucks Technology
Travel Required: No Travel Required
Requisition ID: 15599