M-2342 R&T SCIENTIST IN DATA DRIVEN COMPUTATIONAL MECHANICS

at  Luxembourg Institute of Science and Technology LIST

ARE YOU PASSIONATE ABOUT RESEARCH? SO ARE WE! COME AND JOIN US

The Luxembourg Institute of Science and Technology (LIST) is a leading research and technology organization dedicated to pushing the boundaries of science and technology. Our Composite Unit and DMAC research group are at the forefront of innovative research in composite materials and advanced numerical methods, striving to drive significant advancements in materials science and engineering. The team research activity encompasses both physics-based and data-driven modelling of composite materials and processes. By integrating fundamental principles of physics with advanced computational techniques, we develop precise, predictive models that enhance our understanding of composite behaviour. Simultaneously, leveraging data-driven approaches, we harness the power of big data and machine learning to uncover patterns and insights that drive innovation in material design and manufacturing processes. This dual approach ensures that our research not only advances theoretical knowledge but also translates into practical, real-world applications, pushing the limits of what is possible in composite materials and manufacturing process technologies.
We are seeking a passionate and driven scientist to join our Composite Unit and DMAC research group. As part of our team, you will focus on cutting-edge composite materials and process modelling. Experience in physics-informed, data-driven methods for composite materials design and performance is highly desirable. This role offers the opportunity to collaborate with multidisciplinary teams on innovative European research projects, contributing to the development of ground-breaking technologies.
Do you want to know more about LIST? Check our website: https://www.list.lu/
Discover our Materials activities: https://www.list.lu/en/materials/

EDUCATION

• PhD. in Computational Mechanics, Applied Mathematics, or a related field.

EXPERIENCE AND SKILLS

• Proven prior experience and data-driven modelling with application in material science and engineering
• Strong analytical and problem-solving skills.
• Knowledge of research funding and the RDI landscape.
• Proven track record of research publications in relevant fields.
• Good knowledge of their field of study obtained through advanced education combined with some work experience.
• Good project management skills.

LANGUAGE SKILLS

• Fluent in English, written and oral.

EDUCATION

Doctorate

• Performs RDI duties with autonomy under general supervision.
• Conducts small RDI projects or work packages in projects of regular size and scope.
• Discusses and agrees with the principal investigator (PI) or their group leader the objectives and expected results of their work package or project.
• Organises own work to meet objectives and deadlines. Informs regularly on work progress and addresses promptly any unexpected problem that could impact the work plan or the good development of their work.
• Performs RDI tasks with autonomy: evaluates, selects, and applies scientific methods; conducts experiments and tests (following predefined protocols); makes critical analysis, evaluation, and synthesi