Modeling the Impact of Curatives on Tyre Compound Properties

Apollo Tyres Ltd is an international tyremanufacturer and the leading tyre brand in India. The company has multiplemanufacturing units in India and a unit each in The Netherlands and company markets its products under its two global brands Apollo and Vredesteinand its products are available in over 100 countries through a vast network ofbranded 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

Whowe are
ApolloTyres Ltd is an international tyre manufacturer and the leading tyre brand inIndia. The company has multiple manufacturing units in India and a unit each inthe Netherlands and Hungary. The company markets its products under its twoglobal brands Apollo and Vredestein and its products are available in over100 countries through a vast network of branded exclusive and multi-productoutlets.
The CompoundDevelopment Department of the Research & DevelopmentCenter is responsible for the design validation and implementation of tyrecompounds that deliver innovative solutions and optimized performancecontributing to the superior performance of our tyres.

Objectiveof the role
Join ourR&D team to develop AI/ML and data-driven models that predict how curatives (reactiveingredients responsible for vulcanization) influence compound propertiesand tyre performance. You will work with laboratory-generated data to develop aversatile predictive model that links the type and concentration of curatives to thebehaviour of compounds and tyre products. Applying advanced modellingtechniques to real industrial challenges you will collaborate closely withexperienced researchers in an innovation-driven environment.

Yourtasks
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

Yourprofile
Bachelors or Masters 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

Whatdo 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 andDecember 2026
Internship nature: Full-time; Duration: 3-6 months
For furtherdetails contact:

Location: Colosseum 2 7521 PT Enschede