College Intern

Applied Materials
Singapore
Workplace: OnsiteInternshipFunction: Healthcare (Clinical, Medical, Wellness)Skills: ["Analytical thinking","Attention to detail"]

Work on two traineeship tracks combining computational chemistry with AI/ML: run and analyze reaction modeling using DFT-based simulation tools, and build chemistry datasets to train and evaluate ML models that predict chemical properties. Apply Python for data cleaning, feature engineering, and model training, then collaborate with chemists to turn results into actionable insights and support ML-driven screening for promising molecules.

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Applied Materials
Applied Materials
1 day ago

College Intern

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Work on two traineeship tracks combining computational chemistry with AI/ML: run and analyze reaction modeling using DFT-based simulation tools, and build chemistry datasets to train and evaluate ML models that predict chemical properties. Apply Python for data cleaning, feature engineering, and model training, then collaborate with chemists to turn results into actionable insights and support ML-driven screening for promising molecules.
Location: Singapore
Workplace: Onsite
Employment Type: Internship
Job Function: Healthcare (Clinical, Medical, Wellness)
Seniority: Intern level

Key Responsibilities

  • •Assist in computational chemistry and reaction modeling by benchmarking ML methods and DFT to analyze energetics, structures, and reactivity.
  • •Build and run simulations, including evaluation of intermediates, transition states, and microkinetic behavior; prepare inputs, run calculations, and analyze/document outputs.
  • •Build, organize, and curate chemical datasets for modeling and screening.
  • •Develop and evaluate ML models (e.g., regression, classification, neural networks) to predict physicochemical properties and translate results into design insights with chemists.
  • •Contribute to ML-driven screening tools to identify promising materials or molecules.

Key Requirements

  • •Background in chemistry, chemical engineering, materials science, or a related field.
  • •Basic understanding of computational or quantum chemistry concepts.
  • •Experience with Python and data analysis libraries such as NumPy and pandas, or ML frameworks (advantage).
  • •Interest in combining theoretical chemistry with machine learning approaches.
  • •Good analytical thinking and attention to detail.
Skills:Analytical thinkingAttention to detail
Tech Stack:PythonNumPyPandasScikit-learnMachine learningNeural networksDFT (Density Functional Theory)C++

Company Brief

Applied Materials
Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.
Industry: Industrial Machinery
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1967
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