Worcester Polytechnic Institute
Post-DoctoralFellow
Neural analysis suggests this role is
optimal for Mid+ candidates.
“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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