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NC State College of Engineering in Raleigh, NC seeks a Postdoctoral researcher to develop and optimize machine learning models for molecular simulations and force-field development. You will work with interdisciplinary teams, preprocess large datasets, and benchmark against experimental results to advance materials discovery.
The role involves publishing results, contributing to open-source tools, and mentoring graduate students, with a focus on transferable, reproducible methods in a
Position Information
Posting Number PG191770PD Position Number 00112322 Position Type Post Doc FLSA Exempt
Department ID 140801 - Materials Science &Engineering Department 140801 - Materials Science &Engineering
Job City & State Raleigh, NC
Essential Job Duties
The Department of Materials Science and Engineering (MSE) at NC State University is a nationally recognized leader in materials discovery, design and deployment. Our faculty, students and staff work at the forefront of innovation: advancing materials that enable breakthroughs in energy, electronics, health, manufacturing and sustainability.
Research in MSE spans theory, computation, synthesis, characterization and scale-up, supported by a collaborative culture and state-of-the-art facilities on NC State’s Centennial Campus. Faculty lead internationally visible efforts in areas such as artificial intelligence-driven materials design, wide bandgap semiconductors, energy storage, nanomaterials, soft and biomaterials and structural materials under extreme environments.
Learn how NC State MSE is leading the way to discover, create and enhance the world around us.
Design, implement, and optimize machine learning algorithms to enhance or develop new force fields for molecular simulations. Focus on leveraging modern techniques such as neural networks, Gaussian processes, and transfer learning to improve predictive accuracy and computational efficiency.
Gather and preprocess large-scale simulation and experimental data. Identify key features, perform dimensionality reduction, and ensure the data is properly formatted for training machine learning models.
Conduct molecular dynamics and quantum mechanical simulations to generate training and validation datasets. Benchmark newly developed models against existing force fields and experimental results to assess performance and reliability.
Work closely with interdisciplinary teams of computational chemists, materials scientists, and biophysicists to apply machine learning models to a variety of systems. Publish results in high-impact journals and present findings at relevant conferences.
Contribute to the development of open-source software tools and frameworks for machine learning-based force field modeling. Ensure thorough documentation and reproducibility of all work.
Mentor graduate students and junior researchers in computational techniques, machine learning methodologies, and scientific writing.
Other Work/Responsibilities Wolfpack Perks and Benefits
As a Pack member, you belong here, and can enjoy exclusive perks designed to enhance your personal and professional well-being. As you consider this opportunity, we encourage you to review our Employee Value Propositionand learn more about what makes NC State the best place to learn and work for everyone.
Attain Work-life balance with our Childcare benefits, Wellness & Recreation Membership, and Wellness Programs that aim to build a thriving wolfpack community.
Disclaimer: Perks and Benefit eligibility is based on Part-Time or Full-Time Employment status. Eligibility and Employer Sponsored Plans can be found within each of the links offered.
Work Schedule M-F, 8:00AM-5:00PM
Department Required Skills
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Valid NC Driver's License required? No Commercial Driver's License Required? No
Anticipated Hiring Range $58,656-$60,000
Job Open Date 09/10/2026
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