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Post Doctorate RA - Chemical & Bio Processing

Job in Richland, Benton County, Washington, 99352, USA
Listing for: Pacific Northwest National Laboratory
Full Time position
Listed on 2026-07-27
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist
Job Description & How to Apply Below
** Overview*
* At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.

Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.

The Energy and Environment Directorate delivers science and technology solutions for the nation's biggest energy and environmental challenges. Our more than 1,700 staff support the Department of Energy (DOE), delivering on key DOE mission areas including: modernizing our nation's power grid to maintain a reliable, affordable, secure, and resilient electricity delivery infrastructure; research, development, validation, and effective utilization of renewable energy and efficiency technologies that improve the affordability, reliability, resiliency, and security of the American energy system;

and resolving complex issues in nuclear science, energy, and environmental management.

The Energy Processes and Materials Division, part of the Energy and Environment Directorate, creates and delivers real world solutions that support the Department of Energy's goals for national energy security. We deliver new technologies that connect fundamental science to applications in areas such as energy storage, advanced materials manufacturing, applied catalysis, advanced separations, biomass conversions, carbon capture and utilization, and hydrogen production and storage.

We employ a systems perspective that includes discovery, technology development, and scale-up as well as economic, regulatory, and market acceptance issues necessary for successful technology commercialization.

** Responsibilities*
* The successful candidate will:

+ Conduct independent research and contribute to multidisciplinary team assignments involving catalysis and renewable-fuels process development.

+ Design, construct, modify, and safely operate laboratory-scale batch and continuous-flow reactor systems.

+ Synthesize and characterize heterogeneous catalysts and evaluate their performance for reactions involving biomass-derived intermediates, waste-derived feed stocks, carbon dioxide, or other renewable carbon sources.

+ Perform rigorous kinetic measurements and investigate reaction mechanisms, catalyst structure-performance relationships, and catalyst deactivation.

+ Apply AI/ML methods to scientific and engineering problems, including catalyst formulation, reaction optimization, experimental selection, pathway discovery, and process modeling.

+ Develop reproducible workflows and data pipelines that integrate catalyst synthesis, characterization, reaction testing, and product analytics.

+ Apply approaches such as Bayesian optimization, active learning, uncertainty quantification, surrogate modeling, or digital twins to accelerate experimental research and support scale-up decisions.

+ Analyze complex experimental datasets using statistical, computational, and mechanistic modeling methods.

+ Collaborate with experimental researchers, computational chemists, data scientists, and external research partners.

+ Prepare technical reports, peer-reviewed manuscripts, presentations, and other project deliverables.

+ Present research results at technical conferences, sponsor meetings, and project or program reviews.

+ Contribute to the development of research proposals, intellectual property, and new technical capabilities.

+ Maintain a strong commitment to safe, rigorous, and reproducible laboratory research.

** Qualifications*
* Minimum Qualifications:

+ Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.

Preferred Qualifications:

+ Ph.D. in Chemical Engineering, Chemistry, Physical Chemistry, Materials Science, Data Science, Computational Science, or a closely related field.

+ Demonstrated experience conducting…
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