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Research Scientist - Simulation Summer 2027 Intern at Tokyo Electron · Austin, TX | newgrad.ai

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Research Scientist - Simulation Summer 2027 Intern

Tokyo ElectronAdded 19h ago

Austin, TXInternship

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ProJev · full posting

Audience

new gradinternnot student

Visa sponsorship

sponsorsnot statedno sponsorship

Class of

2027

Quick summaryby newgrad.ai

What you'll do

Model mechanical and multi-physics behavior in semiconductor 3D integration technologies using finite element analysis tools
Refine mechanical component designs based on simulation findings
Build models that interpret both computational and experimental data

What they're looking for

PhD candidate pursuing mechanical engineering, materials science, or similar discipline
Proficiency with finite element analysis platforms such as Abaqus, Ansys, or COMSOL
Background in machine learning techniques and coding with Python or MATLAB
Strong written and verbal communication abilities in English

Pay and perks

12-week summer position from May 17 to August 20, 2027 in Austin, TX

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2026

not stated

Lowest degree

BSMSPhD

US citizens only

yesno

Experience bar

012345

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Lean methodology training and support materials included

Summer 2027 Internship

Duration: Monday, May 17th- August 20th, 2027

Location: Austin, TX

What You Can Expect

Meaningful Project Work: Every Intern is assigned a project that delivers value to the business.

Lean Thinking: Interns are expected to apply Lean principles and continuous improvement thinking throughout their project work; Lean training and resources will be provided.

Our Goal is to provide interns with meaningful, hands-on experiences that contribute to business objectives while supporting their professional development

Responsibilities

Simulate mechanical and multi-physics processes in semiconductor 3D integration technologies by utilizing commercial and custom finite element software packages

Design and optimize mechanical elements using modeling results

Create advanced models to analyze simulation and experiment results

Qualifications

Required:

PhD candidate in mechanical engineering, materials science or relevant field at the start of the position

Experienced using finite element software, e.g. Abaqus, Ansys, COMSOL, etc.

Experienced in machine learning algorithms and programming software (e.g. Python, MATLAB)

Excellent verbal and written communication skills

Must be fluent in English

Preferred:

Hands-on experience with semiconductor manufacturing processes

Familiarity with applied statistical theories

Strong knowledge in advanced mathematics

Diversity creates an innovative culture. TEL US is an Equal Employment Opportunity / Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

From Tokyo Electron's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.