About AkzoNobel
Since 1792, we've been supplying the innovative paints and coatings that help to color people's lives and protect what matters most. Our world class portfolio of brands - including Dulux, International, Sikkens and Interpon - is trusted by customers around the globe. We're active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It's what you'd expect from a pioneering and long-established paints company that's dedicated to providing sustainable solutions and preserving the best of what we have today - while creating an even better tomorrow. Let's paint the future together.
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R&D Industrial Placement - Automating Data Acquisition
1 Year placement starting July 2026
24,000 per annum plus relocation allowance*
Felling, Gateshead, Tyne & Wear
R&D Industrial Placement - Introduction
AkzoNobel is a global leader in paints and coatings, operates in over 150 countries, is home to well-known brands such as Dulux, Sickens and International and has been awarded Top Employer status in the UK and Europe.
More than 200 R&D scientists work at our Felling, Gateshead laboratories in support of business units including our Marine, Protective and Yacht business, in which this placement is situated. The MPY R&D teams use a wide array of scientific equipment following established industry standard procedures and when developing new or enhanced test methods for coating performance analysis. This role is about building automation into our laboratory and data acquisition practices, and will integrate into ongoing campaigns to leverage data across our global R&D processes for improved insight and efficiency.
The job scope includes developing data acquisition tools (hardware) and integration into data platforms (coding/programming). You will work alongside a diverse team of laboratory scientists (chemists, materials scientists, biologists, chemical engineers and hydrodynamicists) and our Data & Digital team (data scientists, analysts, and software engineers).
This industrial placement is ideal for students in disciplines such as engineering, robotics, electronics, experimental science, computer science, and those with practical experience of building instruments, computers or sensor systems (e.g. Arduino / Raspberry Pi projects).
What will I be doing?
Collaborative work with laboratory scientists to learn to operate experimental equipment and systems best suited to automated data acquisition.
Collaborative work with Data & Digital team to map digital endpoints for the experimental data.
Engineering the connections between the lab kit and data endpoints (ranging from simple coding scripts to building sensor driven data acquisition systems from off the shelf components).
Academic requirements:
You will be working towards a Science, Technology or Engineering related degree, that offers you the option of taking a Year in Industry.
Additional requirements:
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