Modeling the Impact of Curatives on Tyre Compound Properties

Apollo Tyres Ltd is an international tyre manufacturer and the leading tyre brand in India. The company has multiple manufacturing units in India and a unit each in The Netherlands and Hungary. The company markets its products under its two global brands – Apollo and Vredestein, and its products are available in over 100 countries through a vast network of branded, exclusive and multi-product outlets.

Job Title : Modeling the Impact of Curatives on Tyre Compound Properties Location : Primary Location Reports to (Position) : FLM Department/Function : PV Testing & TMD

Who we are Apollo Tyres Ltd is an international tyre manufacturer and the leading tyre brand in India. The company has multiple manufacturing units in India and a unit each in the Netherlands and Hungary. The company markets its products under its two global brands – Apollo and Vredestein, and its products are available in over 100 countries through a vast network of branded, exclusive and multi-product outlets. The Compound Development Department of the Research & Development Center is responsible for the design, validation, and implementation of tyre compounds that deliver innovative solutions and optimized performance, contributing to the superior performance of our tyres.

Objective of the role Join our R&D team to develop AI/ML and data-driven models that predict how curatives (reactive ingredients responsible for vulcanization) influence compound properties and tyre performance. You will work with laboratory-generated data to develop a versatile predictive model that links the type and concentration of curatives to the behaviour of compounds and tyre products. Applying advanced modelling techniques to real industrial challenges, you will collaborate closely with experienced researchers in an innovation-driven environment.

Your tasks Review and clean the available data Develop an AI/ML model to predict the impact of curatives on the properties of tyre compounds and their relationship with tyre performance Prepare a final report, transfer the model for use by R&D specialists, and present and discuss the results with the Compound Development Department team

Your profile Bachelor's or Master's student in Computer Science, Data Science, Applied Mathematics, Artificial Intelligence, Business Information Technology, or a related field Very good command of English, both spoken and written Experience with Python, machine learning/artificial intelligence, and data science A team player with strong communication skills, a results-oriented mindset, and the ability to learn quickly

What do we offer A dynamic and innovative environment Colleagues from all over the world Competitive compensation packages Equal opportunity employment Participation in learning and development activities

Start date: Between September and December 2026 Internship nature: Full-time; Duration: 3-6 months For further details contact: hr.rd.eu@apollotyres.com

Location: Colosseum 2, 7521 PT Enschede