Masters Thesis Student
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Before you apply
LocationJonsered
Work modehybrid
SeniorityEntry
Company size10,000+ people
PostedOct 29, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Backgrounds: Mechanical Engineering, Systems Engineering, Industrial Engineering & Management, Product Development, Engineering Design, Computer Science, Data Science or Applied AI
Preferred skills: Product development, Systems Engineering, Generative AI, LLMs, Python, Machine Learning, Data Analytics and RAG
Skills
Generative AI
LLMs
Python
Machine Learning
Data Analytics
RAG
Last date to apply:
19 November 2026
Master Thesis Opportunity
AI-Augmented Pre-Development - Accelerating Innovation Through AI, Rapid Learning Loops and Engineering Decision Support
Background
How can AI help product development teams innovate faster, learn faster, and make better decisions earlier? Husqvarna Construction is exploring how Generative AI can support early phases in product development through customer understanding, technology scouting, concept generation, knowledge reuse and engineering decision-making. A key focus is how AI can enable rapid learning loops, frequent iterations and exploration of multiple solution alternatives before committing to a concept.
Thesis Objective
Assess how pre-development is performed today, identify bottlenecks and opportunities, investigate where AI creates value, evaluate AI support for concept generation, trade-off analysis and knowledge reuse, explore AI support for Set-Based Concurrent Engineering (SBCE), and develop a Proof-of-Concept demonstrator.
Potential Areas of Investigation
Responsibilities
• Customer, application and market understanding
• Technology and patent scouting
• Concept generation and design-space exploration
• Engineering trade-off analysis
• Knowledge reuse and organizational learning
• Learning-loop driven product development
• AI-supported decision making
• Set-Based Concurrent Engineering (SBCE)
Expected Deliverables
• Assessment of current practices and future outlook
• Framework for AI-Augmented Pre-Development
• Evaluation of AI-supported learning loops
• Assessment of AI support for SBCE
• Proof-of-Concept demonstrator
• Recommendations for industrial implementation
Desired Student Profile
Backgrounds: Mechanical Engineering, Systems Engineering, Industrial Engineering & Management, Product Development, Engineering Design, Computer Science, Data Science or Applied AI.
Nice to have
Preferred skills: Product development, Systems Engineering, Generative AI, LLMs, Python, Machine Learning, Data Analytics and RAG.
Why This Thesis?
Work at the intersection of Artificial Intelligence, Product Development, Systems Engineering and Innovation Management while helping shape the future of industrial R&D at Husqvarna Construction.
How to apply
Please submit your application, including your CV and cover letter as soon as possible. Due to GDPR, we do not accept applications by email.
The thesis project is expected to start in early 2027 and continue throughout the spring semester of 2027.
For further details or questions please contact [email protected].