Master’s Thesis Project: AI, Automation, and Digitalization for HW Transfer Service

Job Description

Master Thesis: AI-Enabled Transformation of the HW Transfer Service | Ericsson

The Tone:
This is a Master Thesis opportunity at Ericsson, located in Linköping, Sweden. Ericsson builds solutions that push the boundaries of what’s possible in the telecommunications industry, and this role contributes to improving crucial internal services. This position is vital for modernizing the internal hardware transfer process, ensuring it operates with greater efficiency, scalability, traceability, and a better experience for all users within R&D and operational environments.

The TL;DR
• Role: Internship
• Location: In-person – Linköping, Sweden
• Mission: Improve the HW Transfer Service’s efficiency, scalability, traceability, and user experience through artificial intelligence, automation, and digitalization.

What You’ll Actually Do
• Map: Document the end-to-end HW Transfer Service, including all stakeholders, workflows, systems, data flows, and handovers.
• Assess: Evaluate the current performance and user experience of the service, identifying bottlenecks, process gaps, inefficiencies, and manual activities.
• Investigate: Explore opportunities for leveraging artificial intelligence, automation, and digitalization to enhance the service.
• Implement: Select one specific use case and develop a proof of concept solution for it.
• Recommend: Formulate evidence-based recommendations and a roadmap for future service improvements, presenting findings and documenting the work in a written thesis report.

The Must-Haves
• Background: Master’s students in Computer Science, Artificial Intelligence, Data Science, Information Systems, Logistics, Supply Chain Management, or a related field. Entry-Level.
• Experience: An interest in process improvement, digitalization, AI, automation, and developing practical solutions.
• Skills: Strong analytical and problem-solving abilities, good communication skills, the ability to understand and analyze processes, systems, and data flows, and the ability to work independently and collaborate with relevant stakeholders.