Optimization stripping process student

Why are we proud of what we do at allnex? We create coatings, products which help protect the world for all nex> t generations – and that’s exactly what you can do joining us!

Imagine how fast your smartphone would become scratched-up, ugly and unusable without a coating. Or an e-bike, the cabin of a train, a beautiful wooden floor, and countless other things in life.

Making objects and their surfaces more attractive and longer-lasting means making them more sustainable, and that’s a huge part of what working at allnex is about. No matter which role you step into, you’ll become part of a global team of passionate people who care deeply about the chemistry, quality, and global impact of coatings.

You’ll also join a highly multicultural and diverse team of more than 4,000 employees in four regions who – as part of one of the world’s leading coating resins companies – serve customers in over 100 countries across the globe.

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Position overview

Internship Opportunity – Development of a Predictive Model for Solvent Removal

For our site in Drogenbos, we are looking for a motivated intern for a minimum internship period of 180 hours. During this internship, you will have the opportunity to contribute to an exciting and innovative project focused on the development of a predictive model for solvent removal.

Are you interested in data analysis, process optimization, and the chemical industry? Then this internship project may be the perfect opportunity for you.
Within our production facility, laboratory analyses are regularly performed during the solvent removal phase to determine when the process can be stopped. The objective of this internship is to analyze available historical process data and develop a predictive model capable of accurately forecasting, based on existing production parameters, when the desired end condition has been reached. Your work will directly contribute to the optimization of our production processes.

Responsibilities

What Will You Do?
• Collect and analyze historical batch production data.
• Identify the key process parameters that influence solvent removal.
• Investigate correlations between process parameters and analytical results.
• Develop a predictive model to determine the optimal stopping point for the solvent removal process.
• Validate the model using historical and/or ongoing production data.
• Formulate recommendations for implementation within the production environment.

Expected Outcomes
This project will help debottleneck the production facility by:
• Reducing batch cycle times.
• Increasing production capacity.
• Reducing the number of required laboratory analyses.
• Supporting more consistent and data-driven process decisions.

Required skills and experience

• Student in Industrial Engineering, Civil Engineering, Chemical Engineering Technology, Data Science, or a related field.
• Strong interest in data analysis, statistics, and process optimization.
• Knowledge of Excel and Seeq or similar analytical tools is considered an asset.
• Analytical mindset and ability to work independently in a production environment.
• Good knowledge of Dutch or French. Knowledge of English is an additional advantage.
• Available for an internship of at least 180 hours.

We offer

This internship offers the opportunity to gain hands-on experience within an international chemical manufacturing environment. You will work on a tangible improvement project with a visible impact on the site's operational performance.

We are proud to offer an international working experience with a tight-knit network of employees, making it easy to connect and learn from people all across our different functions. On top of that we are a truly innovative company with a strong team spirit, openness to new ideas, and great opportunities to grow and develop your career.

Equal Employment Opportunity
allnex is proud to be an equal opportunity employer. We celebrate diversity and are committed to an environment where all colleagues contribute for the benefit of our employees, our products, and our communities.