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North Carolina State University

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Postdoctoral Research Scholar in AI/ML for Autonomous Scientific Experimentation North Carolina State University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Research Scholar position with an anticipated hiring range of $61,000-$64,000. The role is NSF-funded through the SPEED Programmable Cloud Laboratory project. Standard employee benefits are listed, including medical, dental, vision, retirement, and leave.

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Country

United States

University

North Carolina State University

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Artificial Intelligence
Uncertainty Analysis
Active Learning
Surrogate Modeling
Statistics
ML

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About this position

North Carolina State University is recruiting a Postdoctoral Research Scholar in the Department of Chemical & Biomolecular Engineering for the Abolhasani Research Group in Raleigh, North Carolina, United States.

The project is part of the NSF-funded SPEED Programmable Cloud Laboratory and focuses on artificial intelligence and machine learning for autonomous scientific experimentation. The successful candidate will develop methods for autonomous laboratories that learn from experimental data, choose informative experiments, optimize complex chemical and materials systems, and generate transferable scientific knowledge.

Research topics include Bayesian optimization, active learning, uncertainty quantification, representation learning, multimodal scientific data, surrogate modeling, sequential decision-making, and AI-driven experimental design. A major emphasis is translating AI/ML methods into algorithms that work with automated experimental platforms and real-world experimental data.

Applicants should have demonstrated research experience in machine learning, statistical modeling, computational science, data-driven modeling, or a related field, plus strong programming skills preferably in Python. Preferred experience includes Bayesian optimization, active learning, representation learning, uncertainty quantification, scientific machine learning, multimodal data, graph neural networks, sequential decision-making, or generative methods. Experience applying AI/ML to chemistry, materials science, or physical experimental systems is especially desirable.

The position is a postdoc opening, with an anticipated salary range of $61,000-$64,000. Benefits listed include medical, dental, vision, retirement, and leave. Applicants should submit a CV/resume, cover letter, and contact information for three references through the NC State jobs portal.

Funding details

Postdoctoral Research Scholar position with an anticipated hiring range of $61,000-$64,000. The role is NSF-funded through the SPEED Programmable Cloud Laboratory project. Standard employee benefits are listed, including medical, dental, vision, retirement, and leave.

What's required

Demonstrated research experience in machine learning, statistical modeling, computational science, data-driven modeling, or a related field. Strong programming skills, preferably in Python. Preferred experience includes Bayesian optimization, active learning, representation learning, uncertainty quantification, scientific machine learning, multimodal data, graph neural networks, sequential decision-making, or generative methods. Experience applying AI/ML to chemistry, materials science, or physical experimental systems is particularly desirable. The postdoctoral scholar must have completed the terminal degree no more than 5 years before the start date.

How to apply

Apply through the NC State jobs portal using the job posting link. Attach a CV/resume, cover letter, and contact information for three references. Review the posting and submit the application online.

More information can be found here

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