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- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Oak Ridge National Laboratory
- U.S. Department of Energy (DOE)
- Eli Lilly and Company
- Forschungszentrum Jülich
- Grenoble INP - Institute of Engineering
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Field
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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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system serving as a real-world lead-optimization case study. The successful candidate will play a central role in the computational and AI components of the project and work closely with our international
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guidance from your mentor, your learning opportunities may include: Assist in the design of new grant programs for energy optimization and residential workforce development created through the Infrastructure
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, active learning, Bayesian optimization, agentic AI, or closed-loop materials discovery. Experience in computational heterogeneous catalysis, electrocatalysis, surface science, electronic-structure analysis
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will focus on the formulation and synthesis of advanced synthetic polymers with optimized architectures and tailored functionalities for industrial applications, such as wastewater treatment, fertilizer
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computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials. The ideal candidate should have a strong background in artificial intelligence and
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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guidance from your mentor, your learning opportunities may include: Assist in the design of new grant programs for energy optimization and residential workforce development created through the Infrastructure
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optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature
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polymerization techniques; 2) development and optimization of protocols for the preparation of nanoparticles; 3) evaluation of the unique properties and functionalities of the developed biomaterials. This position