About this opportunity:
Join us in defining how AI will reshape the Site Material supply chain at Ericsson. This Master Thesis offers an opportunity to design a future operating model for a critical supply category and contributes to the vision of a predictive, data-driven, and increasingly autonomous supply chain by 2030.
The study will explore how Site Material management can evolve from today's supply chain into a smarter and more intelligent operating model enabled by Artificial Intelligence (AI), Integrated Business Planning (IBP), advanced analytics, and digital decision support. You will connect emerging technology capabilities with business processes, governance, organizational roles, data, and decision-making to develop a practical strategic blueprint for the future.
What you will do:
• Analyze the current Site Material supply chain operating model and key challenges, while benchmarking leading practices in AI-enabled supply chains, IBP, advanced analytics, scenario planning, and decision support.• Identify the digital capabilities, data foundations, system integration, and analytical capabilities required to enable the future operating model.• Define a future-state operating model incorporating predictive demand sensing, AI-generated recommendations, automated scenario planning, exception-based management, and human-AI collaboration, supported by a prioritized roadmap from today's model to the 2030 vision.• Validate the proposed model and recommendations through stakeholder interviews, workshops, selected use cases, and relevant internal or external benchmarks.• Present a strategic blueprint that supports Ericsson's long-term ambitions for digitalization, resilience, and cost leadership.
The skills you bring:
• You are a final year Master's student in Supply Chain Management, Industrial Engineering, Data Science/Artificial Intelligence, Business Analytics, or a related field.• You have a strong interest in supply chain strategy, operating-model design, digital transformation, AI, and IBP, with an analytical mindset to structure complex business problems and translate insights into practical recommendations.• You are interested in AI, machine learning, advanced analytics, optimization, simulation, and digital decision support; experience with Python, SQL, Power BI, or similar data analysis and visualization tools is an advantage.• You have strong communication and presentation skills and can confidently engage with business stakeholders in English.• You can work independently, collaborate across functions, and bring a curious, proactive, and structured problem-solving mindset.
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 791074
Skills Required
- Final-year Master's student
- Field of study in Supply Chain Management, Industrial Engineering, Data Science, Artificial Intelligence, Business Analytics, or a related field
- Strong interest in supply chain strategy, operating-model design, digital transformation, AI, and Integrated Business Planning
- Analytical mindset and ability to structure complex business problems and translate insights into practical recommendations
- Interest in AI, machine learning, advanced analytics, optimization, simulation, and digital decision support
- Experience with Python, SQL, Power BI, or similar data analysis and visualization tools
- Strong communication and presentation skills in English
- Ability to engage confidently with business stakeholders
- Ability to work independently and collaborate across functions
- Curious, proactive, and structured problem-solving mindset
Ericsson Compensation & Benefits Highlights
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Healthcare Strength — U.S. job postings describe multiple medical plan options (including PPO and HSA‑eligible HDHP) plus dental and vision, aligning with a comprehensive medical suite. Corporate materials also emphasize wellbeing resources and EAP support.
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Retirement Support — Company communications and U.S. materials reference market‑competitive retirement benefits, including a 401(k) with automatic employer contributions and additional matching. Investor and benefits materials signal a structured approach to total rewards that includes long‑term savings programs.
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Parental & Family Support — U.S. and EWS guides and postings highlight paid maternity and parental/adoption leave at full pay, alongside structured short‑term disability at full pay for defined weeks by tenure. These programs are positioned as part of a family‑friendly, work‑life‑balance offering.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.






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