Worcester Polytechnic Institute

Post-DoctoralFellow

$45–70k Worcester, Massachusetts, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Post-Doctoral Fellow at Worcester Polytechnic Institute. Skills: Density Functional Theory, Machine Learning, Materials Modeling. Perform advanced first-principles calculations. Conduct atomistic modeling”

What You'll Achieve.

Publish research results

What They're Looking For.

Must Have

Ph. D. in Materials Science, Ph. D. in Physics, Ph. D. in Chemistry, Ph. D. in Mechanical Engineering, Ph. D. in related field, expertise in density functional theory, Hands-on experience with VASP, Experience with Linux/HPC environments, Experience with parallel computing, programming skills in Python, scientific programming languages, Experience in scientific data analysis, workflow automation, written communication skills, verbal communication skills

Nice to Have

Finite-temperature property calculations, CALPHAD or thermodynamic modeling, Defect calculations and diffusion modeling, Mechanical property calculations from first principles, Machine learning for materials science, Development of AI/ML workflows, Development of surrogate models, High-throughput DFT calculations, Experience with ML interatomic potentials, Experience with materials databases, automated workflow frameworks, Experience with alloys, Experience with ceramics, Experience with oxides, Experience with energy materials

What You'll Do.

Perform advanced first-principles calculations

Conduct atomistic modeling

Develop computational workflows

Integrate machine learning methods

Develop scientific codes

Maintain scientific codes

Publish research results

Assist in proposal preparation

Assist in collaborative research

Mentor graduate students

Mentor undergraduate students

How You'll Work.

Team & Collaboration

Collaborate with graduate students; Collaborate with research partners

Communication Scope

Manuscript preparation

Full Job Description

**JOB TITLE** Post-Doctoral Fellow **LOCATION** Worcester **DEPARTMENT NAME** Mechanical & Materials Engineering - NFR JM **DIVISION NAME** Worcester Polytechnic Institute - WPI **JOB DESCRIPTION SUMMARY** The Integrated Materials and Processes Design (IMPD) group at Worcester Polytechnic Institute (WPI) invites applications for a Postdoctoral Fellow position in computational materials science with a focus on advanced density functional theory (DFT), machine learning, and multiscale materials modeling for alloys and ceramics. The successful candidate will conduct cutting-edge research involving first-principles calculations mainly using VASP and related computational tools to investigate elevated-temperature phase stability, thermodynamic and mechanical properties, defect chemistry, diffusion behavior, and electrical/functional properties of structural and energy materials. The position also involves the integration of machine learning and AI-assisted approaches into materials modeling workflows. The postdoctoral researcher is expected to work independently, develop computational workflows and machine-learning models, contribute to proposal and manuscript preparation, and collaborate with graduate students and external research partners. Potential research topics include: • Elevated-temperature phase stability of alloys and ceramics • Thermodynamic and kinetic modeling integrated with DFT • Mechanical property prediction at finite temperature • Defect chemistry and point defect energetics • Diffusion and transport properties • Electrical and functional property prediction • High-entropy materials and complex concentrated alloys • Oxides and energy materials • AI-assisted and machine learning-enhanced materials simulations • Development of automated computational workflows **JOB DESCRIPTION** **Responsibilities:** The postdoctoral fellow will: * Perform advanced first-principles calculations primarily using VASP * Conduct atomistic modeling of alloys, ceramics, and f

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