Horse Powertrain Limited is an independent new powertrain solutions business, with over 125 years of heritage from Renault and Geely. We develop and produce world-class hybrid and combustion engines and transmissions to move our industry forward, offering many different paths to net zero.
Horse Powertrain has 19,000 dedicated and determined employees, working in 17 manufacturing plants, and 5 R&D centers on three continents. This role is employed by Horse Powertrain Ltd and is based at head office in London, with occasional travel possible to Horse Powertrain’s other sites.
How can we make risk analysis smarter, faster, and more accurate? At Horse Powertrain, you will explore how AI and manufacturing knowledge can transform traditional PFMEA work into an intelligent, self-learning process.
PFMEAs are essential for ensuring quality and reducing manufacturing risks, but creating them requires significant time and expertise. This thesis will investigate how data from previous FMEAs, quality reports, field claims, lessons learned, and other engineering sources can be used to automatically support risk identification and assessment.
To improve the accuracy, efficiency, and knowledge reuse of PFMEA processes by leveraging manufacturing data and AI-based methods.
Develop a concept for a Self-Learning Risk Intelligence Framework that can:
Who Are You?
An engineering student with an interest in Manufacturing, Quality, Risk Assessment, and AI. Experience with FMEA or quality tools is a plus, but curiosity, analytical thinking, and a proactive mindset are what matter most.
Location: Skövde, Sweden
Help us build the next generation of intelligent risk analysis for automotive manufacturing.
As a company, we are committed to equal opportunities, and recruit people based on their competencies and qualifications. We encourage candidates from underrepresented groups to apply for our job vacancies. If you believe you have the skills and passion to excel in this role, we would love to hear from you. Let’s explore the possibilities together.
Deadline to submit your application is 2026-11-30 but the selection process will be running continuously. Please note that due to data regulations, we do not accept applications via email.
If you have any additional questions regarding the position, you are welcome to contact
Goran Ljustina, goran.ljustina@horse-powertrain.com
For questions regarding the recruitment process please contact Frida Axelsson, frida.axelsson@horse-powertrain.com
Horse Powertrain Limited is a global leader in powertrain solutions. Learn more at www.horse-powertrain.com
In 2024, we joined Horse Powertrain, a global leader in powertrain technology. As we bring our expertise together, we’re also merging our LinkedIn pages to create one unified space for innovation, updates, and insights. Follow Horse Powertrain to stay connected.
