Wo graduate internship slab logistics & energy transition

Tata Steel (IJmuiden)

  • WO
  • Computer Science, Applied Physics, Physics, Operations Research, Control Systems, Logistics
  • Internship, Graduate
  • 8 views
  • Latest update 9/2/2025
  • Staalindustrie, Maakindustrie

About the company Tata Steel

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Wo graduate internship slab logistics & energy transitionLONGDESCRIPTION (DO NOT USE)

Dit ga jij doen

Want to contribute to the energy transition in the steel industry? And work on smart logistical solutions that reduce CO2 emissions? Then this challenging graduation assignment is perfect for you!

You'll work on optimizing the slab logistics control system at Tata Steel Nederland. The goal: maximum slab throughput with minimal energy loss during transport from the steel plant to the hot strip mills. You'll develop a data-driven control algorithm that uses real-time data to improve slab temperature retention and enhance logistical coordination.

As a intern at Tata Steel ...

  • You contribute to Tata Steel's sustainability goals. Your research directly contributes to reducing natural gas consumption and CO2 emissions.
  • You develop advanced AI models. You work with machine learning techniques like reinforcement learning to solve complex logistical challenges.
  • You get access to industrial big data. You analyze historical process and logistics data and work with real-time operational logs.
  • You collaborate with multidisciplinary experts. In the Thermal Processes knowledge group within R&D, you work closely with approximately 15 researchers from various fields.
  • You’ll have the opportunity to discover our organization. In addition to working on your project, you’ll get the change to see more of the company!
Herken jij jezelf?

Through your passion for sustainable industrial processes and advanced control systems, you want to contribute to the energy transition. You tackle challenges proactively and enjoy collaborating with experts from different disciplines. You also have an affinity for data-driven solutions and innovative technologies. Furthermore, you have:

  • Currently pursuing a degree in computer science, data science, AI, operations research, applied physics, or a relevant engineering field, with the internship forming part of the study program.
  • Experience with Python programming, optimization algorithms, and process modeling.
  • Preferably knowledge of machine learning and AI techniques, such as reinforcement learning.
  • A research-oriented mindset and interest in sustainability.
  • Availability for a 6-9 month graduation project.
Dit bieden wij jou

The opportunity to contribute to a leading and sustainable steel company that everyone is proud of, together with an enthusiastic team. You receive guidance from experienced researchers and gain valuable industry experience in a high-tech environment. What we offer you additionally:

  • A good internship allowance of €550,- gross per month.
  • Supervision by experienced mentors within the R&D team.
  • Access to advanced research facilities and industrial datasets.
  • Our fantastic Interns for Steel network that organizes various activities for interns.
  • An informal, energetic work environment with flexible working options.
Jouw werkomgeving

You'll work within the Thermal Processes knowledge group of the Research and Development department. This multidisciplinary team of approximately 15 researchers works on innovative solutions for thermal processes in steel production. You work closely with colleagues from the steel plant and hot strip mills to ensure your model aligns with current industrial needs.

The coming years, Tata Steel is looking for interns and graduates who want to push boundaries. We want to distinguish ourselves in the steel market and make our customers even more successful in the market. The goal is to excel in all areas and be the best at what we do, always with a focus on safety. We want to innovate, automate, and use modern technologies. Does this sound like a challenge that suits you? Then we are looking for you!


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