Postdoctoral Research Associate - Microstructural Evolution Modeling
Overview:
Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.
We are seeking a Postdoctoral Research Associate who will support the Microstructural Evolution Modeling in the Materials Science and Technology Division (MSTD), Physical Sciences Directorate (PSD) at Oak Ridge National Laboratory (ORNL).
This position will emphasize developing a theoretical/computational framework to generate a large volume of data in a high-throughput manner, followed by data analytics approaches to guide the data-driven design and synthesis of advanced structural materials. The research will be directed toward the correlation of materials thermochemistry and diffusion kinetics with finite-temperature properties. Data analytics (i.e., correlation analysis and machine learning) and experimental data collection will be extensively used to identify key descriptors representing indicative physical/chemical properties of advanced materials and train surrogate models to utilize the same in modern computational material design.
Major Duties/Responsibilities:
- Conduct high-temperature materials research using computational thermodynamics and kinetics, which will focus primarily on developing high-throughput computation to be correlated with materials development
- Work with members of dynamic research groups to develop theoretical approaches to support the development of next generation high-temperature materials for harsh environments
- Responsible for presenting and reporting research and publishing scientific results in peer-reviewed journals in a timely manner
- Ensure compliance with environment, safety, health and quality program requirements
- Maintain strong dedication to the implementation and perpetuation of values and ethics
Basic Qualifications:
- A PhD in Materials Science & Engineering, Physics, Chemistry or a related field completed within the last 5 years
- Experience with computational thermodynamic (CALPHAD) software (e.g., Thermo-Calc, DICTRA, PANDAT, FactSage)
- Strong background in materials data analytics (correlation analysis and machine learning)
- A broad understanding in integrated computational materials engineering (ICME)
- A record of productive and creative research demonstrated by publications in peer-reviewed journals
Preferred Qualifications:
- Strong background in kinetic and microstructure modeling/simulation
- Strong background in high-performance computing
- Excellent written and oral communication skills
- Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
- Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs
Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.
Instructions to upload documents to your candidate profile:
- Login to your account via jobs.ornl.gov
- View Profile
- Under the My Documents section, select Add a Document
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 for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.
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