Modeling the Impact of Curatives on Tyre Compound Properties

Apollo Tyres Ltd; Netherlands; Remote; EUR 7,800 - 10,000; Full time

Benefits offered by this job

Dynamic environment

Global colleagues

Competitive compensation

Equal opportunity

Learning & development

Job summary

Apollo Tyres Ltd is seeking a student intern to join the PV Testing & TMD department in Enschede. You will develop AI/ML models to link curatives to tyre compound properties and performance, using laboratory data and advanced modelling techniques.

Collaboration with experienced researchers will drive innovation in tyre compounds. Starting between September and December 2026, this full-time internship offers a dynamic, international environment with learning and development opportunities and

Qualifications

• Pursuing Bachelor’s or Master’s in a relevant field (see education).
• Strong command of English, both written and spoken.
• Experience with Python, ML/AI and data science.
• Team player with good communication, results-orientation and quick learning ability.

Responsibilities

• Review and clean the available data.
• Develop an AI/ML model to predict the impact of curatives on tyre properties and performance.
• Prepare a final report, transfer the model for use by R&D specialists, and present results to the team.

Skills

Python

Machine learning

Data science

English proficiency

Education

Bachelor's or Master’s in Computer Science / Data Science / Applied Mathematics / Artificial Intelligence / Business Information Technology

Job description

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 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 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

We 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 performance,contributing 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 a versatile 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 impactof curatives on the properties of tyre compounds and their relationshipwith tyre performance
• Prepare a final report, transfer the model foruse by R&D specialists, and present and discuss the results with the Compound Development Department team

Yourprofile

• Bachelor's or Master's student in ComputerScience, Data Science, Applied Mathematics, Artificial Intelligence,Business Information Technology, or a related field
• Very good command of English, both spoken andwritten
• Experience with Python, machinelearning/artificial intelligence, and data science
• A team player with strong communicationskills, 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 developmentactivities

Start date

Between September andDecember 2026

Internship nature

Full-time; Duration: 3-6 months

Location

Colosseum 2, 7521 PT Enschede