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

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About this opportunity:
The HW Transfer Service manages the movement of hardware between R&D laboratories, storage locations, and other operational environments. The service involves multiple stakeholders, processes, systems, data flows, and handovers.

This thesis will investigate how artificial intelligence, automation, and digitalization can improve the service's efficiency, scalability, traceability, and user experience. The work will include an end-to-end assessment of the current service and the development of a proof of concept for one selected use case.

The expected outcomes include an assessment of the current service, a prioritized set of improvement opportunities, evidence-based recommendations, and a validated proof of concept. The thesis will conclude with a written report, presentation, and handover of the results and proof of concept.

What you will do:
During the thesis, you will:

• Map the end-to-end HW Transfer Service, including stakeholders, workflows, systems, data flows, and handovers.
• Assess the current performance and user experience.
• Identify bottlenecks, process gaps, inefficiencies, and manual activities.
• Investigate opportunities for AI, automation, and digitalization.
• Prioritize potential improvements based on value and feasibility.
• Select and implement a proof of concept for one use case.
• Evaluate the proof of concept and its potential impact on efficiency and user experience.
• Develop recommendations and a roadmap for future improvements.
• Present your findings and document the work in a written thesis report.
• Hand over the proof of concept and relevant documentation.

The skills you bring:
This opportunity is suitable for one or two Master's students studying computer science, artificial intelligence, data science, information systems, logistics, supply chain management, or a related field.

We are looking for candidates with:

• Strong analytical and problem-solving skills.
• Good communication skills.
• An interest in process improvement, digitalization, AI, and automation.
• The ability to understand and analyse processes, systems, and data flows.
• An interest in developing and evaluating practical solutions.
• The ability to work independently and collaborate with relevant stakeholders.

When applying, please include a list of your completed courses and grades.

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) || Linköping

Req ID: 792173