Research Assistant Position - LIMSET-UM6P-Ben Guerir - Benguerir
Company sector : Education / Training
COMPANY :
Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco’s frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally.
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Company culture :
UM6P – Mohammed VI Polytechnic University operates within a strongly innovation-driven culture, where creativity, experimentation and intellectual boldness are key foundations. The university promotes initiative, openness and autonomy in a stimulating environment focused on research, entrepreneurship and impact. This innovative mindset is reinforced by a solid cooperative dimension, fostering collaboration, knowledge sharing and human development. A clear focus on performance and excellence further supports this culture, while formal processes remain lighter to maintain agility and flexibility.
Job :
Job description:
The research assistant will be responsible for the following tasks:
- Perform molecular dynamics and High-troughtput DFT calculations of materials used in solid-state batteries and hydrogen storage.
- Develop machine learning interatomic potentials to predict structural, thermal, and transport properties of materials for battery applications and interfaces.
- Integrate machine learning predictions with experimental data to optimize material compositions and processing conditions for improved battery performance.
- Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international conferences, workshops and meetings resulting in successful research outputs.
- Support, if required, the development of proposals for research funding.
Required profile :
Criteria of the candidate:
- Master's degree or engineering degree, or equivalent in the fields of physics, physical chemistry, or Mechanical engineering, or equivalent.
- Deep understanding of ML principles, and atomistic modeling methods.
- Demonstrating strong programming skills in languages (such as Python, MATLAB) and good proficiency in setting up simulations and analyzing results
- Demonstrating strong analytical and problem-solving mindset, with the ability to identify and resolve complex engineering problems.
- Good capacity to set objectives and priorities and follow a scientific approach.
- Excellent communication skills including written and oral presentation skills in French and English.
- Ability to generate new ideas, links, and builds upon existing ideas to generate unique concepts and solutions.
- Ability to work with a diverse population: national and international staff, students, researchers, professors, companies, and partners.
- Autonomy and spirit of initiative, rigor, discretion, sense of organization and problem-solving skills.
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