Supply Chain & Engineering Internship

Job Description

Are you looking for an internship where you can:

• Combine consulting, engineering, and IT
• Work in a fast-moving environment
• Support leading industrial companies on real transformation projects
• Work on a research assignment that covers strategy, process improvement, and technology implementation

Then a role within Supply Chain & Engineering (SC&E) could be a great fit for you.

Internship details

• Period: ~6 months (minimum of 4 months)
• Start date: the first day of each month

Teams

SC&E is a diverse and dynamic team working in the fields of Engineering and Manufacturing.

You will either join PES - Product Engineering and Servicing, which focuses on next-generation R&D and on imagining and reinventing the future of products and the end-to-end product journey, from the initial design to managing Product Lifecycle Systems, their sustainable footprint, and the ultimate retiring and replacement.

Or you will join M&O - Manufacturing and Operations, which focuses on digital manufacturing, intelligent asset management, and capital projects in utilities. The topic of your graduation internship could be around grid infrastructure, challenges of the energy transition in the utilities industry, and other innovations on the factory floor to provide digital transformation at the core of manufacturing.

Daily tasks

As an intern at SC&E, you will work in collaboration with colleagues to conduct your thesis research and assignment in one of the relevant research areas listed below. Your thesis will research challenges or opportunities seen at clients, with the aim of defining new business solutions or opportunities based on expert input. During your internship you’ll connect with many SC&E colleagues and gain valuable insight into the world of strategy and consulting.

Research

Product Engineering and Servicing (PES)

Within PES, the focus is on companies that specialize in product development, mainly in Research & Development departments. The team enables industry-leading clients to optimize their business processes and efficiency.

Research groups:

• Defining R&D strategies: Helping clients shape their long-term vision and roadmap for R&D and digital transformation.
• Improving engineering and business processes: Analyzing current ways of working and redesigning product development processes through workshops, interviews, and practical improvements.
• Implementing digital solutions: Supporting the rollout of technologies such as Product Lifecycle Management (PLM) platforms and AI-enabled solutions.
• Driving sustainability initiatives: Setting up frameworks, processes, and insights that help companies reach their sustainability goals.

Each year there are multiple business-relevant thesis topics prepared around these themes.

Manufacturing and Operations (M&O)

Within M&O, research is focused on Intelligent Asset Management, Capital Projects in Utilities, and Digital Manufacturing. The team transforms production plants, assets, and work processes to deliver operational excellence. By prioritizing, optimizing, digitizing, connecting, and automating client operations through integrated solutions, AI, IoT, mobility, and platforms, it unlocks additional value and productivity within and across production sites. It’s a chance to apply your engineering skills to deliver meaningful, high-impact solutions.

Research groups:

• Intelligent Asset Management: You will support transforming the way clients take care of their physical assets such as machines, buildings, and equipment. You will collaborate to create data-driven and intelligent solutions such as Predictive Maintenance and Asset Performance Management to improve efficiency, reduce downtime, and increase sustainability while reducing maintenance costs.
• Capital Projects in Utilities: You will support utility companies in driving the energy transition by developing new solutions and strategies to build new infrastructure, manage grid congestion, and optimize asset performance.
• Digital Manufacturing: You will focus on where clients can digitize, optimize, and bring digital transformation to the core of their manufacturing processes, including developing fully autonomous factories (dark factories).

If you're interested in writing a thesis, possible topics range from AI applications in the utility sector, data-driven predictive maintenance, rethinking the construction process and standardization for large-scale infrastructure projects, topics related to the operation and efficiency of the grid, creating new propositions for dark factories, and digital transformation of manufacturing processes.

If you have a groundbreaking idea related to the topics above, whether it addresses challenges in engineering, manufacturing, or beyond, related ideas that align with these goals are also welcome.

Within these internships, you will have the opportunity to develop, learn, build relationships, and gain insight into what it’s like to work as a consultant. The internship is designed to support both your work and academic development at the beginning of your career.