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Master Thesis: Enabling Machine Learning in Embedded Engine Control Development

Volvo Group · Gothenburg

posted 1mo ago, last live 13d ago

Key factors at a glance

Seniority
—
Experience
—
Work mode
—
Salary
Not stated
Required working language
English

Must-haves

  • Knowledge of machine learning
  • Experience with embedded software
  • Familiarity with model-based development
  • Skills in control engineering
  • Proficiency in Simulink
  • Ability to integrate software solutions

Nice-to-haves

  • Background in Electrical Engineering
  • Experience with automotive applications
  • Familiarity with data-driven models
  • Interest in sustainable transport
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Original posting

English

Apply now Master Thesis: Enabling Machine Learning in Embedded Engine Control Development Location:  Göteborg, SE, 417 15 #job-location.job-location-inline { display: inline; } Position Type:  Student Permanent/Temporary:  Temporary 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.  Description of Thesis work At Volvo Group, we develop embedded control solutions for engine and powertrain applications using model-based development methods and tools such as Simulink and TargetLink.   This thesis is conducted in a cross-functional setting, combining expertise in engine control development with software infrastructure integration. It offers an opportunity to work at the intersection of control engineering, embedded software, and machine learning for automotive applications. Machine learning methods are becoming increasingly relevant for automotive control systems, offering opportunities to complement traditional physics-based approaches with data-driven models. In embedded software development, however, adoption is limited by requirements on computational performance, memory usage, maintainability, and compatibility with existing workflows.   The objective of this thesis is to investigate how machine learning methods can be integrated into automotive embedded software development. The work will include development, integration, and evaluation of a machine learning model in an embedded engine control application, with focus on tooling, deployment, and fit with existing model-based development processes. Last date of application - 30th October 2026 Scope: Master thesis, 30 ECTS, approximately 6 months. Profile: Students in Control Engineering, Embedded Systems, Computer Science, Machine Learning, Electrical Engineering, or similar. Location: Göteborg Number of students: 2   We value your data privacy and therefore do not accept applications via mail.    Who we are and what we believe in  We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. ​We are passionate about what we do, and we thrive on teamwork. ​We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment.    Trucks Technology & Industrial Division  hire team players who are ready to create real customer impact. Our decentralized teams work close to our customers, with speed and autonomy, to build what they truly need.  Join us to collaborate on innovative, sustainable technologies that redefine how we design, build, and deliver value. Bring your curiosity, your expertise, and your collaborative energy, and together, we’ll turn bold ideas into tangible solutions for our customers and contribute to a more sustainable tomorrow.  Job Category:  Technology Engineering Organization:  Trucks Technology & Industrial Travel Required:  No Travel Required Requisition ID:  35695 .buttontextc66c802ae8040ec4 a{ border: 1px solid transparent; } .buttontextc66c802ae8040ec4 a:focus{ border: 1px dashed #888b8d!important; outline: none!important; } View All Jobs .videocomponentf61eba5a903d6dbf a{ border: 1px solid transparent; } .videocomponentf61eba5a903d6dbf a:focus{ border: 1px dashed #888b8d!important; outline: none!important; } .buttontext4460da29f798827b a{ border: 1px solid transparent; } .buttontext4460da29f798827b a:focus{ border: 1px dashed #888b8d!important; outline: none!important; } 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. Apply now Find similar jobs: www.volvogroup.com Contact us Cookies Privacy Opens in a new tab. Opens in a new tab. Opens in a new tab. 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