Create and release your Profile on Zintellect – Postdoctoral applicants must create an account and complete a profile in the on-line application system. Please note: your resume/CV may not exceed 3 pages.
Complete your application – Enter the rest of the information required for the IC Postdoc Program Research Opportunity. The application itself contains detailed instructions for each one of these components: availability, citizenship, transcripts, dissertation abstract, publication and presentation plan, and information about your Research Advisor co-applicant.
Additional information about the IC Postdoctoral Research Fellowship Program is available on the program website located at: https://orise.orau.gov/icpostdoc/index.html.
If you have questions, send an email to ICPostdoc@orau.org. Please include the reference code for this opportunity in your email.
Research Topic Description, including Problem Statement:
We expect the scale and scope of AI-assisted discovery and design to grow significantly during the next decade as datasets become more robust and computer simulation-driven efforts are proven in real-world applications. In some cases, AI-driven technology design processes are estimated to run orders of magnitude faster than human intensive processes. Meanwhile, the world faces rising energy demands at a time when countries are trying to reduce their carbon footprint. Meeting growing energy demands, while reducing carbon emissions and dependence on fossil fuels have significant national security, environment, and economic impacts. This topic seeks opportunities where AI for design and discovery could be used to discover new materials, methods, or processes that will aid in the energy transition, significantly reducing the computationally intensive R&D phase, cost, and timeframes by years. This initiative aims to bring together AI researchers along with experts from other science and technology disciplines to integrate AI tools into power, energy, and materials technical fields and expedite the pace of scientific and engineering discovery.
energy generation. There are different ways to approach this research; versatility is encouraged. For example:
Relevance to the Intelligence Community:
The linkage to current DNI’s S&T priorities is dependent on the submissions we receive. However, we anticipate those submissions will likely include the following priorities: Artificial Intelligence/Machine Learning, Chemical Sciences, Energy and Power, and Materials and Manufacturing.
Key Words: Artificial intelligence, AI for Science, AI4science, deep learning, emulation, machine learning, high-entropy alloys, metamaterials, chemical engineering, molecular design, molecular engineering, bio-engineering, next-generation batteries, advanced batteries, battery electrolytes, nuclear fusion, magnetic confinement fusion, tokamak, stellarator, hardware, software, data, optimization, supercomputing, intelligent controllers, intelligent control algorithm, neural networks, optimization algorithm, computer simulation, GPUs, super conducting metal, advanced magnets, advanced power and energy, clean energy, green energy