Postdoctoral Research Scholar

North Carolina State University at Raleigh Raleigh, NC

Salary Not stated by the employer
Employer North Carolina State University at Raleigh
Location Raleigh, NC
Workplace On site
Role Postdoctoral Researcher
Posted Aug 31, 2026
Reference pa-234442

The Abolhasani Research Group in the Department of Chemical & Biomolecular Engineering at North Carolina State University is seeking a Postdoctoral Research Scholar to develop artificial intelligence and machine learning methods for autonomous scientific experimentation as part of the NSF-funded SPEED Programmable Cloud Laboratory.

The successful candidate will develop AI/ML methodologies that enable autonomous laboratories to learn from experimental data, select informative experiments, optimize complex chemical and materials systems, and generate transferable scientific knowledge. Research topics may 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 will be translating AI/ML methodology into algorithms that operate directly with automated experimental platforms and real-world experimental data.

Duties and Responsibilities include:

Develop AI/ML algorithms for autonomous experimental design and optimization.
Develop surrogate models and uncertainty-aware approaches for learning from sparse and heterogeneous experimental datasets.
Develop chemical and materials representations suitable for closed-loop experimental optimization.
Implement Bayesian optimization, active learning, and related sequential experimental-design methods.
Develop methods for incorporating prior knowledge and historical experimental datasets into experimental decision-making.
Integrate AI/ML algorithms with SPEED automated experimental platforms.
Analyze multimodal experimental datasets and identify scientifically meaningful structure-property-processing relationships.
Evaluate algorithm performance using both benchmark datasets and physical experimental campaigns.
Develop reusable software modules and documented computational workflows.
Collaborate closely with experimental scientists, automation engineers, and SPEED users.
Prepare peer-reviewed publications, presentations, technical reports, and research proposals.

Apply on North Carolina State University at Raleigh's site You apply directly with the employer.

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