Job Description
View more jobs Click to discover more job opportunities Discover moreM-2342 R&T SCIENTIST IN DATA DRIVEN COMPUTATIONAL MECHANICSTemporary contract | 13 months | BasharageAre you passionate about research? So are we! Come and join usThe 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:Discover our Materials activities:How will you contribute?You will be mainly in charge of:Developed computational models for predicting material properties.Utilized machine learning algorithms to optimize manufacturing processes.Conducted finite element analysis (FEA) to evaluate structural integrity.Developed and use of advanced numerical methods and tools for microstructure, materials, and processes relationships.Develop 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 synthesisof 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!EducationPhD. in Computational Mechanics, Applied Mathematics, or a related field.Experience and skillsProven prior experience and data-driven modelling with application in material science and engineeringStrong 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 skillsFluent in English, written and oral.Your LIST benefitsAn organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projectsSustainable by design, empowering our belief that we play an essential role in paving the way to a green societyInnovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we doAn environment encouraging curiosity, innovation and entrepreneurship in all areasPersonalized learning programme to foster our staff's soft and technical skillsMulticultural and international work environment with more than 50 nationalities represented in our workforceDiverse and inclusive work environment empowering our people to fulfil their personal and professional ambitionsGender-friendly environment with multiple actions to attract, develop and retain women in science32 days paid annual leave, 11 public holidays, 13-month salary, statutory health insuranceFlexible working hours, home working policy and access to lunch vouchersApply onlineYour application must include:A motivation letter oriented towards the position and detailing your experienceA scientific CV with contact detailsList of publications (and patents, if applicable)Contact details of 2 referencesPlease apply ONLINE formally through the HR system. Applications by email will not be considered.Application procedure and conditionsWe 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.REQUIREDLANGUAGESTo be considered for this position it is crucial that you have knowledge of the following languagesRead C1 AdvancedWrite C1 AdvancedSpeak C1 Advancedminimum required EducationRequired work experience in years0 or more yearsJob CategoryDetailsEmployment typeContract typeHours per week40Contract periodMonthsContract duration13LocationCountryCityEsch-Sur-AlzetteContract TypeFixed Term contractEmployment typeFull-TimeUOMRTProfile typeResearcherRecruiter in chargeHélène ARAGOLuxembourg Institute of Science & Technology
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