Temporary contract | 13 months | Basharage

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/

How will you contribute?

 You will be mainly in charge of:

• Developing computational models for predicting material properties.
• Using machine learning algorithms to optimize manufacturing processes.
• Conducting finite element analysis (FEA) to evaluate structural integrity.
• Developing and use of advanced numerical methods and tools for microstructure, materials, and processes relationships.
• Developing and implement physics-informed data-driven methods for composite materials design and performance evaluation and optimisation.

Among others, and depending on the area of activity, R&T Scientist duties may include:

• 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 synthesis

 of new or complex ideas; evaluates feasibility and effectiveness of solutions; etc.

• Work results may merit patent or invention disclosure. Contributes to the definition of patents, licences, or  prototypes.
• Contributes to the identification of new opportunities for innovation or application.
• Contributes to policy definition and implementation (e.g., conduct policy analysis and benchmarking, impact assessment, etc.).
• Contributes to the identification and engagement of RDI funding. Provides support to on-going funding efforts. Is encouraged to define RDI project proposals under guidance.
• Disseminates RDI results through the publication of scientific papers and technical reports and the presentation of their work results at workshops, conferences, and the research community in general.
• Interacts in a collaborative manner with other team members to achieve goals.
• Actively develops their scientific and industrial networks relevant to their activity. Starts becoming part of identifiable external peer networks.
• Respects codes of research ethics and research integrity.
• Respects and applies LIST-HSE rules. Alerts of potential dangers or risks. Takes care of their own safety and that of others.

Is Your profile described below? Are you our future colleague? Apply now!

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.

Your LIST benefits

• An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
• Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
• Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
• An environment encouraging curiosity, innovation and entrepreneurship in all areas
• Personalized learning programme to foster our staff’s soft and technical skills
• Multicultural and international work environment with more than 50 nationalities represented in our workforce
• Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
• Gender-friendly environment with multiple actions to attract, develop and retain women in science
• 32 days paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
• Flexible working hours, home working policy and access to lunch vouchers

Apply online

Your application must include:

• A motivation letter oriented towards the position and detailing your experience
• A scientific CV with contact details
• List of publications (and patents, if applicable)
• Contact details of 2 references

Please apply ONLINE formally through the HR system. Applications by email will not be considered.

Application procedure and conditions

We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.

Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.