Postdoctoral Research Associate - Quantitative Neutron Imaging Energy Storage

Postdoctoral Research Associate - Quantitative Neutron Imaging for Energy Storage

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Oak Ridge National Lab is seekinga Postdoctoral Research Associate to advance quantitative, high ‑ throughput neutron imaging for next ‑ generation energy ‑ storage materials. In this role, youwill develop and apply methods that integrate physics ‑ guided image correction with intelligent (AI/ML ‑ enabled) data ‑ acquisition strategies. Keyobjectivesinclude (1) implementing and validating scattering ‑ correction and calibration workflows that yield quantitative attenuation coefficients, and (2) designing adaptive tomography approaches that reduce acquisition time whilemaintainingor improving image quality.

These advances will directly support operando studies of solid ‑ state batteries and porous electrodes and accelerate the development of predictive transport and performance models.

This positionresidesin the Materials Engineering Groupin the Large-Scale Structures Section,Neutron Scattering Division, Neutron Sciences Directorate at Oak Ridge National Laboratory (ORNL).As a postdoctoral fellow, you will produce publishable results at a steady pace and work at the interface of neutron imaging, computational modeling, and workflow automation. Applicants with strengths in any of these areas—quantitative imaging, modeling/transport science, machine learning, or scientific programming—are encouraged to apply.

Lead energy ‑ storage imaging experiments at the MARS beamline (HFIR CG ‑ 1D), including experiment planning, operando support, data reduction, and delivery of quantitative reconstructed datasets

Develop and implement scattering ‑ correction, calibration, and adaptive data ‑ acquisition methods to improve measurement efficiency and throughput

Apply physics ‑ based or computational transport modeling to interpret internal material gradients and dynamic processes

Publish research results in peer ‑ reviewed journals and present at scientific conferences

Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success.

PhDinchemistry,physics,computer science,materials science, orarelatedfield with no more than five years of postdoctoral experience

Experience in energy ‑ storage research (batteries, electrochemistry, or related fields)

Proficiency in scientific programming (e.g., Python, C/C++, MATLAB, R, Julia)

Experience with quantitative image analysis or tomographic reconstruction

Background in transport modeling (continuum methods, CFD, or data ‑ driven surrogates)

Interest in or experience with machine learning/AI applied to scientific data

Demonstrated research productivity and ability to work effectively in a collaborative, multidisciplinary environment

• Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Pleasesubmittwoletters of reference when applying to this position. You may upload these directly to your application or have them sent to recruiting with the position title and number referenced in the subject line.

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We offer competitive pay and benefits programs to attract andretainhardworkingpeople!

The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include the following:
Prescrip…