Temporary contract | 24 months | Hautcharage

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 (RTO) dedicated to advancing the frontiers of science and technology in the domains of materials, environmental sciences, and information technology. Committed to the seamless integration of cutting-edge research and innovation, LIST translates scientific insights into transformative technologies, intelligent data solutions, and innovative tools. You will join the Structural Composite Unit and the Design and Manufacturing of Advanced Composite (DMAC) research group of Materials Research and Technology (MRT) department. The DMAC research group combines expertise in computational performance evaluation, design and performance optimization, and innovative manufacturing process development.

Do you want to know more about LIST ? check our website: https://www.list.lu/

Discover our MRT for Innovation Services department: https://www.list.lu/en/materials/

How will you contribute?

Join our dynamic team with this exciting job opportunity focused on the development of the process modelling of an innovative approach for producing thick wound structure made of (recyclable) reactive thermoplastic resin targeting sustainable H2 tank storage applications.

In frame of the IMPRESS Project (FNR CORE funding), our focus will be on developing a new impregnation method that will facilitate an economical and robust manufacturing process for recyclable composite materials. To achieve this, we will employ high-strength carbon fiber, infusible and recyclable acrylic-based thermoplastic liquid resin (Elium® by Arkema), and in-situ reactive polymerization to create composite pressure vessels that are both durable by design and reusable in a similar high-performance second life application.

Based on the developed scientific instruments for reinforcement textile permeability measurement, polymerization induced shrinkage quantification, and the experimental data generated by benches at lab and subscale level for resin flow analysis and thermal gradient measurement and advanced characterization, you will develop a numerical model for manufacturing process able to predict pressure field (and consequently resin front) and evolution of temperature, degree of cure ( and consequently the polymerization shrinkage), over both time and location during the impregnation simulation that incorporates the actual textile mesoscale structure in the model.

This position provides a unique opportunity to be at the forefront of transformative advancements in structural composite manufacturing technology.

Your activities will include:

• Overseeing the development and validation of scientific instruments
• Contributing to the Design of Experiment and advanced characterization data analysis of both textile architecture and resin thermal physical behaviour in fast cure conditions.
• Method development for the uncertainty propagation of reinforcement variability.
• Development and validation of a dual-scale data-driven non-isothermal flow simulation
• Experimental/simulation correlation at sub scale level

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

• Ph.D. in Aerospace Engineering, Mechanical Engineering, or a related field.
• Specialization in thermal and/or flow modelling, thermo-physics polymers modelling, and structural composite materials.
• Experience with process modelling of advanced materials, particularly for structural composite is a plus.
• Good communication skills and ability to collaborate with cross-functional teams including the industrial partners.
• Detail-oriented approach to document the model building and experimental data management.
• Excellent job autonomy in the management of technical, time management and organizational issues.
• Fluent in English, both 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
• 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

https://www.list.lu/en/jobs/

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.

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.