Master internship Research and Development

Vacancy information

Disciplines:Research & Development
Final apply:17-12-2018
Development of a machine vision application based on coil inspection cameras

What's your job?

At the coil packing line, a robot is placing straps around coils. These coils are tightly fastened and removal of these straps can be challenging. Therefore, the customer can order spacers; an accessory to create a gap between the coil and the strap. This spacer will make sure that the cutting tool of the customer will not create surface defects and to improve a save work action when the straps are removed. However, it has happened that spacers under the straps go missing or are badly positioned leading to surface defects, a possible safety issue and possibly customer complains. For a higher accuracy, the current human based quality check will be replaced with a machine vision application and/or a self-learning algorithm to automatically detect spacers. With that regards, efforts have already been spent on making sure that the images have a reasonably good quality in order to optimise object detection.

Your first challenge will be to make a decision on the most appropriate machine vision approach. Then you will develop the algorithm (which could be deep learning for example)  and collect all necessary data to train / test the algorithm. This development will be done together with local plant experts and R&D experts.

Is this you?

  • You are an MSc student in the field of Computer Vision, Artificial Intelligence, Machine Learning or a comparable field.
  • You are looking for an internship in an industrial R&D environment with a concrete application.
  • You have a special interest in self-learning algorithm, computer vision development.
  • You have skills in one of the machine vision software and/or a Machine Learning Python frameworks or equivalent.
  • Because of the Dutch regulations for work permits, you need to be enrolled in a Dutch University, or you need to be a EU citizen.

What do we offer?

We offer you a paid internship with proper guidance. You will gain valuable experience within a large organization in a typical R&D development activity. You will work in a running R&D project together with Tata Steel colleagues, both from R&D and manufacturing plants. We encourage trainees to regularly visit Tata Steel production plants to gain even more experiences.

Through this experience, you will acquire technical knowledge and skills needed in an R&D environment. During your training period you can regularly participate in events such as student tours and lunch lectures.

What's your department?

The Rolling, Finishing & Measurement (RFM) is a department of Tata Steel Research & Development and is based in IJmuiden, the Netherlands. RFM initiates industrial innovations for the processing of steel strip products by optimising existing and developing new technologies. You will be part of a RFM team responsible for developing new measurement technologies for Tata Steel Europe in the area of camera inspection systems, machine vision applications, x-ray, acoustic, and infrared imaging.

Apply or learn more?

Is this the assignment for you? Please apply directly via the application button below, don’t forget to upload your motivation letter. If you have any questions or want to have more information first? Please contact Judith Hamers on

Is this job not suitable for you, but do you know someone who fits perfectly? Please share this vacancy.

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Application process

1. Apply

Applied for a (graduate) internship? We will review your application and motivation and contact you within one week.

2. Interviews

You made us curious. In the interviews you can explain what you can offer and why we should choose for you.

3. Internship agreement

Nice, you now have the assignment you are super enthusiastic about! It's nice to know that all agreements made are recorded in an internship or graduation agreement.

4. Start

You can go to work on your professional and personal development, both in your assignment and in our network of interns for interns. Perhaps this is even the start of something bigger...

More information?

Judith Hamers
Talent recruiter
T: +31 (0) 251 494000

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