LIMSET – Professor in Molecular Simulation and AI-Driven Discovery for All-Solid-State Batteries

Mohammed VI Polytechnic University; Occitanie; Sur place; EUR 40 000 - 60 000; Plein temps

Résumé du poste

An established industry player is seeking a Professor in Molecular Simulation and AI-Driven Discovery for All-Solid-State Batteries. This role is pivotal in advancing cutting-edge research at a prestigious institution, focusing on the design and optimization of novel materials for energy storage. Candidates will leverage their expertise in molecular simulations and AI to tackle global energy challenges, while collaborating with industry partners to drive innovation. The position offers a dynamic research environment with competitive benefits and opportunities for professional growth. If you are passionate about sustainable energy solutions and eager to make a significant impact, this is the perfect opportunity for you.

Prestations

Competitive benefits

Research funding opportunities

Access to state-of-the-art facilities

Qualifications

• Expertise in molecular simulations and AI-driven materials discovery.
• Proficiency in programming languages for data analysis and simulation.

Responsabilités

• Advance research in molecular simulation and AI for energy storage technologies.
• Collaborate with experimentalists to guide material synthesis.

Connaissances

Molecular simulations

AI-driven materials discovery

Electrochemical modeling

Big data analysis

Programming (Python, MATLAB, C++)

Techno-economic analysis

Strong communication skills

Formation

PhD in Materials Science

PhD in Chemistry

PhD in Physics

PhD in Computational Science

Outils

Density Functional Theory (DFT)

Molecular Dynamics (MD)

Phase-Field Modeling

High-performance computing (HPC)

Description du poste

LIMSET – Professor in Molecular Simulation and AI-Driven Discovery for All-Solid-State Batteries

Mohammed VI Polytechnic University is an institution oriented towards applied research and innovation with a focus on Africa.

Mohammed VI Polytechnic University (UM6P) is a leading institution of higher education and research, located in the Green City of Benguerir. With a mission to advance education, applied research, and innovation, UM6P is dedicated to fostering economic and human development in Morocco and across Africa. The university offers a cutting-edge learning environment with world-class infrastructure, including smart platforms, living labs, and advanced research centers. Its extensive academic and research network strengthens its role as a catalyst for transformative solutions to Africa’s challenges. UM6P distinguishes itself through a unique partnership approach, collaborating with industry leaders to drive innovation and develop future-ready skills for students and professionals. Committed to fostering entrepreneurship and equipping the next generation of African leaders, UM6P actively contributes to Morocco and Africa's innovation ecosystem. Its dynamic collaborations reinforce its position as a pioneering institution, striving for excellence on national, continental, and global scales. Additionally, UM6P offers highly competitive incentives to attract and retain top-tier research talent, further amplifying its impact on science, technology, and sustainable development.

About LIMSET:

LIMSET (Laboratory of Inorganic Materials for Sustainable Energy Technologies) is a dynamic group of professors, scientists, researchers, and engineers dedicated to advancing sustainable energy solutions through cutting-edge research and specialized training. The laboratory focuses on the design, development, and optimization of inorganic materials for various applications in energy storage, conversion, and hydrogen technologies. LIMSET’s research extends multiple disciplines, including electrochemistry, materials science, computational modeling, artificial intelligence, and process engineering, ensuring a comprehensive approach to tackling global energy challenges. By integrating fundamental research with industrial applications, the laboratory aims to accelerate the development of high-performance materials for thermal energy storage, all-solid-state batteries, and green hydrogen and ammonia production. In addition to scientific advancements, LIMSET is committed to technology transfer and capacity building, working closely with industry partners to enhance the competitiveness of Moroccan and African companies.

LIMSET-UM6P is seeking highly qualified candidates for open-rank faculty positions specializing in molecular simulation and AI-driven materials discovery for all-solid-state batteries. The selected candidates will play a crucial role in advancing LIMSET’s research by leveraging computational modeling, artificial intelligence, and machine learning to accelerate the design and optimization of novel materials for next-generation energy storage technologies.

The ideal candidates must demonstrate expertise in:

• Molecular simulations and multiscale modeling for all-solid-state battery materials, including Density Functional Theory (DFT), Molecular Dynamics (MD), and Phase-Field Modeling.
• AI-driven materials discovery, employing machine learning (ML), deep learning, and high-throughput computational screening for novel solid electrolytes and electrode materials.
• Electrochemical and thermodynamic modeling, predicting ionic conductivity, phase stability, and interfacial behavior in all-solid-state battery systems.
• Big data analysis and computational automation, integrating data-driven approaches to optimize material properties and battery performance.
• Collaboration with experimentalists, providing computational insights to guide material synthesis, characterization, and prototype development.
• Techno-economic analysis and life-cycle assessment, evaluating the sustainability and scalability of AI-driven materials for battery applications.
• Engagement with industrial partners, fostering technology transfer and applied research initiatives to support Moroccan and African energy storage industries.
• PhD in Materials Science, Chemistry, Physics, Computational Science, or a related field, preferably with a focus on molecular simulations and AI-driven materials discovery.
• Expertise in computational techniques, including DFT, MD, Phase-Field Modeling, CALPHAD, and ML-based predictive models for energy materials.
• Proficiency in programming languages such as Python, MATLAB, or C++ for data analysis, simulation automation, and AI model development.
• Experience with high-performance computing (HPC) and cloud-based simulation platforms.
• Strong publication record in computational materials science and electrochemical energy storage.
• Ability to secure research funding and lead multidisciplinary projects.
• Strong communication skills in English, both verbal and written.
• Ability to work independently and collaboratively in an interdisciplinary research environment.

Application and selection:

The application must contain:

• A cover letter setting out the candidate's motivation in relation to this job profile.
• Contact information of 3 referees (PhD mentor, postdoctoral mentor, and a third referee familiar with the applicant’s education, research, and entrepreneurial experience. Applicants are assumed to have obtained their references’ consent to be contacted for this matter).

Working conditions of the position:

This position offers competitive benefits, research funding opportunities, and access to state-of-the-art facilities at UM6P, fostering a dynamic and innovative research environment.

Deadline:The selection process ends once the candidates are selected.

Start of contract: As soon as possible.

Type of Contract: CDI.

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Job details

Title

LIMSET – Professor in Molecular Simulation and AI-Driven Discovery for All-Solid-State Batteries