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Postdoctoral Appointee - R&D Modeling Batteries and Battery Systems (Onsite)

Sandia National Laboratories
Albuquerque, NM, USA
$95.5K a year
Full-time

What Your Job Will Be Like :

We are seeking a Postdoctoral Appointee to join our team. The Power Electronics and Energy Conversion Systems Department has a Postdoctoral Researcher position that may be a great fit if you are interested in modeling batteries and battery systems.

The postdoctoral researcher 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. The salary is set for this position at $95,500 annually.

Qualifications We Require :

  • PhD in Chemical Engineering, Electrochemical / Energy Engineering, Mechanical Engineering, Chemistry, or closely related engineering or natural science field
  • Experience with computational modeling, reduced-order modeling, or data analytics
  • Code development or scripting experience
  • Strong interpersonal communication skills, including written and verbal communications, as evidenced through publications and / or conference presentations

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
  • Python and / or C++ code development experience
  • 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
  • 30+ days ago
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