College Intern

Applied Materials South East Asia; Singapore; On-site; SGD 13,000 - 20,000; Full time

Job summary

Applied Materials South East Asia invites students for a traineeship in computational chemistry and ML-driven material modelling. You will work on reaction modelling, dataset curation, and ML model development under supervision within a global leader in materials science.

The program emphasizes Python-based data analysis, collaboration with chemists, and translating modelling results into actionable design insights.

Qualifications

• Background in chemistry, chemical engineering, materials science, or related fields.
• Basic understanding of computational chemistry or quantum chemistry concepts.
• Experience with Python and data analysis libraries, or ML frameworks is a plus.
• Interest in combining theoretical chemistry with machine learning.

Responsibilities

• Assist in building and running simulations, including evaluation of intermediates and transition states.
• Prepare input files, run calculations, analyse output data, and document results.
• Discuss modelling outcomes with chemists to interpret mechanistic insights.
• Develop ML models to predict key physicochemical properties.
• Perform Python-based data cleaning, feature engineering, model training, and evaluation.
• Contribute to ML-driven screening tools for predicting properties.

Skills

Chemistry background

Computational chemistry basics

Python data analysis (NumPy, pandas, 0

Tools

Python

NumPy

pandas

scikit-learn

Job description

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

Who We Are

Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world’s technology.

What We Offer

Location: Singapore, SGP

You’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Traineeship Project Description

• Computational Chemistry & Reaction Modelling
• Learn how computational tools are used to investigate reaction pathways, molecular behaviour, and catalytic mechanisms.
• Benchmark ML modelling methods and DFT (Density Functional Theory) to analyse the energetics, structures, and reactivity of organic and organometallic molecules.
• Assist in building and running simulations, including evaluation of reaction intermediates, transition states, and microkinetic behaviour.
• Prepare input files, run calculations, analyse output data, and document results.
• Discuss modelling outcomes with chemists to help interpret mechanistic insights.
• AI/ML for Chemical Property Prediction
• Build, organise, and curate chemical datasets for modelling.
• Develop ML models (e.g., regression, classification, neural networks) to predict key physicochemical properties.
• Perform Python‑based data cleaning, feature engineering, model training, and evaluation.
• Work closely with chemists to translate modelling results into actionable design insights.
• Contribute to ML‑driven screening tools for predicting properties and identifying promising materials or molecules.

Desired Skills Required

• Background in chemistry, chemical engineering, materials science, or related fields.
• Basic understanding of computational chemistry or quantum chemistry concepts.
• Experience with Python, data analysis libraries (NumPy, pandas, scikit‑learn), or ML frameworks is an advantage.
• Interest in combining theoretical chemistry with machine learning approaches.
• Good analytical thinking and attention to detail.

Additional Information

Time Type: Full time

Employee Type: Intern / Student

Travel: No

Relocation Eligible: No

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.