Postdoctoral Appointee - Modeling Batteries and Battery Systems, Onsite

Postdoctoral Appointee - Modeling Batteries and Battery Systems, Onsite

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What Your Job Will Be Like:

We are seeking a Postdoctoral Researcher (job title: Postdoctoral Appointee) with an interest in modeling batteries and battery systems. As part of the Power Electronics and Energy Conversion Systems Department, you will develop and implement models for Li and non‑lithium battery systems.

The successful candidate will develop first‑principle, reduced‑order, and data‑driven models of cell and battery performance and degradation using a combination of finite‑element forward models, surrogate models, and hybrid machine learning techniques. The researcher will work with a multi‑disciplinary group and interact with researchers at Sandia and Universities working on battery development, modeling, and characterization.

On any given day you may be called on to:

Develop models for batteries and energy storage systems.

Contribute to the development of open‑source software tools for battery modeling.

Document research findings for internal and external publication.

Present on research progress at group meetings, peer review events, and technical conferences.

Due to the nature of the work, the selected applicant must be able to work onsite. This position is located in Albuquerque, NM, and the annual salary for this position is $98,500.

Qualifications We Require:

PhD in Chemical Engineering, Electrochemical/Energy Engineering, Mechanical Engineering, Chemistry, or other relevant field, such as a closely related engineering or natural science field.

Experience with computational modeling, reduced‑order modeling, or data analytics.

Experience with code development and/or scripting.

Strong written and verbal communication skills, as evidenced by publication(s) in peer‑reviewed journals and/or presentation(s) at scientific conferences.

Ability to obtain and maintain a DOE Q‑level security clearance.

Qualifications We Desire:

Experience with batteries, other energy storage technologies, or grid‑scale storage applications.

Experience with machine learning or artificial intelligence, particularly physics‑informed/physics‑constrained machine learning or multi‑fidelity surrogate modeling.

Expertise with the Linux operating system.

Experience with zinc batteries.

Self‑motivated and able to work independently with minimal direction while engaging with peers in a group environment.

About Our Team:

The Power Electronics and Energy Conversion Systems Department is focused on the development and integration of power conversion devices and systems into our future electric grid. The department has numerous projects with the Energy Storage Technology and Systems Department, which focuses on the development of advanced energy storage technologies, safety and reliability of energy storage systems, and the development of methods and tools to evaluate the performance of storage systems.

Posting Duration:

This posting will be open for application submissions for a minimum of three (3) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time.

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