美国北卡罗来纳州立大学招聘博士后—农业工程

美国北卡罗来纳州立大学招聘博士后—农业工程

Postdoctoral Research Scholar

North Carolina State University

in Raleigh, NC

Type: Full-Time

Salary: $62,000-$72,000

Posted: Today

Application Due: 10/23/2026

Category: Agricultural Engineering

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Position Number: 00112385

Essential Job Duties:

The Department of Biological and Agricultural Engineering at North Carolina State University invites applications for a full-time Postdoctoral Research Associate to work with Dr. Daniela Jones, Associate Professor, in machine learning, AI surrogate modeling, and scientific model validation for large-scale agricultural and bioeconomy systems. The position supports REFRAME (Resource Engineering Framework for Responsible, Augmented Modeling and Engagement), a multi-year initiative funded by Schmidt Sciences through the Virtual Institute for Feedstocks of the Future (VIFF).

REFRAME is developing a modular, AI-enabled, open-source platform that integrates legacy scientific models, artificial intelligence, optimization, and shared data infrastructure to evaluate future biomass systems across availability, accessibility, characterization, conversion, and impacts. The successful candidate will serve as REFRAME's scientific lead for AI surrogate methodology, providing project-wide leadership in the development, statistical validation, benchmarking, deployment, and long-term evolution of scalable AI surrogate models. Housed within REFRAME's Modeling Pillar, the researcher will work at the intersection of AI and agricultural domain science and collaborate with an interdisciplinary team of graduate students, postdoctoral researchers, faculty, software developers, the Platform Architect, and researchers within the Digital Backbone and Stakeholder Engagement Pillars. The position will also contribute to AI agents for model orchestration, scientific workflow automation, and stakeholder-facing decision support. The position is expected to begin in Spring 2027, with an initial one-year appointment and the potential for extension based on performance and funding availability.

The Postdoctoral Research Associate will:

Lead the development and implementation of project-wide methodologies for the development, evaluation, statistical validation, benchmarking, and deployment of scalable and scientifically rigorous AI surrogate models across REFRAME's modeling domains.

Develop generalized surrogate modeling and statistical evaluation frameworks for computationally intensive scientific models, including approaches for calibration, uncertainty quantification, generalization and robustness assessment, and explainable AI.

Apply knowledge of agricultural production systems, agronomic practices, crop and soil processes, and biomass systems to evaluate the scientific and practical plausibility of surrogate model behavior and outputs.

Collaborate with and mentor interdisciplinary researchers developing AI surrogates while establishing standardized, reproducible scientific machine learning workflows across REFRAME.

Collaborate with the Digital Backbone team to integrate validated surrogates into scalable, open-source infrastructure and contribute to AI agents for model orchestration, workflow automation, and scientific decision support.

Lead and contribute to peer-reviewed publications and conference presentations, and contribute to research proposal development and the pursuit of external funding opportunities that advance REFRAME and related research

Departmental Required Skills:

Demonstrated research experience in statistical learning, machine learning, scientific computing, predictive modeling, or surrogate modeling.

Strong Python programming skills and experience implementing machine learning or statistical modeling workflows.

Demonstrated knowledge of or research experience with agricultural, biological, environmental, or related systems.

Strong written and verbal communication skills and ability to work effectively within interdisciplinary research teams.

Preferred Experience, Skills, Training/Education:

Experience developing AI surrogate models, emulators, or scientific machine learning methods.

Experience with rigorous model validation, uncertainty quantification, calibration, sensitivity analysis, explainable AI, or assessment of model generalization.

Experience with advanced statistical or machine learning approaches, such as deep learning, ensemble methods, Gaussian processes, Bayesian methods, or probabilistic machine learning.

Experience working with large scientific or simulation datasets and developing reproducible scientific or open-source software.

Experience using high-performance computing (HPC), including GPU-enabled, on-premises cluster, or shared server environments, for large-scale scientific computing or machine learning workflows.

Experience applying computational methods to agricultural, agronomic, biological, environmental, or bioeconomy systems.

Experience mentoring graduate or undergraduate researchers.

Necessary Licenses or Certifications:

Valid NC driver's license

AA/EOE:

NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity.

If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu.

Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.

NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Department: 118101 - Biological And Agricultural Engineering

Location: Raleigh, NC

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