PhD Position: Machine Learning Multi-Objective Optimization of Electrolytes for Energy Storage Applications
Há 1 mês
Company Overview
The Centre National de la Recherche Scientifique (CNRS) is a premier research organization in France, dedicated to advancing scientific knowledge and innovation. Our mission is to push the boundaries of human understanding and address pressing societal challenges.
Salary and Benefits
We are pleased to offer a highly competitive salary package, with a monthly gross salary of approximately €3048.29, including mobility allowance. As a CNRS employee, you will also enjoy excellent benefits, including access to state-of-the-art facilities, training opportunities, and a comprehensive health insurance plan.
Job Description
We are seeking a talented PhD candidate to join our team at the Laboratoire de Réactivité de Chimie des Solides (LRCS). The successful candidate will work on developing innovative machine learning algorithms to optimize electrolyte formulations for energy storage applications. This project will involve collaborating with an international team of researchers, working with advanced AI/ML methodologies, and contributing to the development of cutting-edge materials for electrochemical energy storage.
Required Skills and Qualifications
To be considered for this exciting opportunity, you must have a strong background in Artificial Intelligence (AI) methods, including machine learning, and data science methods as a whole. Experience with Python programming language and classical AI libraries is necessary. You should also have a good understanding of computational modeling and physical-chemistry of electrolytes. Knowledge and/or experience in the field of batteries or redox flow batteries, as well as in electrolyte preparation methods, will be highly appreciated.
Benefits
In addition to the above, we offer:
- A dynamic and supportive research environment
- Access to state-of-the-art equipment and computational facilities
- Mentorship from experienced researchers
- Opportunities for professional and personal development
- Participation in international conferences and workshops
Others
Please note that this is a fully funded PhD position, with no teaching duties. The successful candidate will be expected to finish the project with a PhD thesis and disseminate the results through publications and presentations. We encourage applicants from diverse backgrounds to apply. If you are passionate about advancing scientific knowledge and innovation, we look forward to receiving your application.
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