Master Thesis: Network Value Optimizer

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. What will you do The Volvo Group service market operates within a complex global network of suppliers, distribution centers, and dealers, such as Central Distribution Centers (CDC), Regional Distribution Centers (RDC), and Support Distribution Centers (SDC). Deciding where a part should be stocked is a critical business challenge that directly impacts customer service, inventory investment, lead times, and operational efficiency. Many organizations use historical rules, experience, or service level targets to determine stocking locations. However, these approaches may not fully capture the trade-offs between inventory costs and customer value. There is an opportunity to develop a data driven framework that quantifies the value created by stocking a part at different levels of the network. The purpose of this thesis is to treat the supply chain as a graph optimization problem with various value functions. Example research questions: How can the value of inventory be quantified across different locations? How can demand, availability and costs be balanced to maximize network value? Key Responsibilities:

• Design and define a supply chain network based on existing supply chain configuration
• Analysis of spare part demand patterns
• Evaluation of cost, availability and service level trade-offs
• Scenario analysis and business impact

Expected Outcomes:

• A network value optimization framework
• Quantification of inventory distribution trade-offs
• Decision-support tool

Who are you? We are seeking two motivated Master's students studying Supply Chain Management, Logistics, Data Science, or other relevant fields, who are interested in supply chain resilience and solving complex business challenges. Contact: Iulian Carpatorea (iulian.carpatorea@volvo.com) Senior Data Scientist Last application date: 2026 11 09 Please include CV, cover letter and university grade transcripts in the application. Applications will be monitored continuously, so we encourage you to submit your application soonest possible! 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.