Postdoctoral Research Associate in Large Scale Simulations for Energy Storage
Organisation Name: Oak Ridge National Laboratory (ORNL)
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Job Description:
Purpose Oak Ridge National Laboratory's Computing and Computational Sciences Directorate conducts state-of-the-art research and development in computer and computational sciences in support of DOE's missions and programs. We develop and deploy leading edge computing and information technology capabilities to keep computational sciences at a level comparable to experimental sciences in the pursuit of scientific discovery and technical innovation. The Computational Engineering and Energy Sciences Group is seeking postdoctoral scientists to aide in the design and development of energy storage simulation software. The potential candidate will focus on development of numerical models of electrochemical systems for lithium ion batteries at various scales. Major Duties/Responsibilities The candidate will be expected to contribute to the development of numerical algorithms and software for the simulation of electrochemical energy storage systems such as lithium ion batteries and alternate redox chemistries. Specific responsibilities include application of integrated, multi-scale, coupled-physics computer codes, design and implementation of scalable numerical methods, collaboration with experts from various scientific disciplines on coupled-physics issues, and following team planning, documentation processes. The candidate will have opportunity to collaborate within a multi-disciplinary research environment consisting of computational scientists, computer scientists, experimentalists, and engineers/physicists conducting basic and applied research in support of the Laboratory’s missions. Successful candidate must author peer reviewed papers, technical papers, reports and proposals for internal and external release as well as represents the organization by giving technical presentations in large public forums. Application areas of particular interest include advanced electrochemical storage systems such as lithium ion batteries, redox flow systems and solid-state batteries. There will be ample opportunity to access the world-class facilities and collaborate with the staff scientists at the Center for Nanoscale Materials (CNMS), the Spallation Neutron Source (SNS), and Battery Manufacturing Facility (BMF). Qualifications Required The minimum required education is a Ph.D. in mechanical, chemical engineering or a relevant material science field. Experience in the development and application of computational tools for electrochemical energy storage systems. Expertise in one or more areas of particular relevance to simulations of interest such as numerical techniques, multi-scale methods, coupled physics methods, and/or advanced verification, validation methodologies. Experience working in a multi-disciplinary research environment. Proven publication track record is required. Effective interpersonal skills, written and oral communication skills, and strong motivation are necessary. Desired Skills: Experience in the development of large-scale numerical physics simulation codes. Demonstrated experience in the design and implementation of numerical algorithms in one or more high-level computing languages, preferably within a team that follows software quality standards. Experience with C++, generic programming, object-oriented analysis, and scripting languages. Experience conducting simulations using large scale HPC systems. Understanding of verification and validation and the relationship between theory, experiments, and simulation. Additional Information: Applicants cannot have received their PhD 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. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment. If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov. ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.
