PhD in Data-Driven Multiscale Bio-Waste Metamaterials

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.

Your role

The computational mechanics group of Prof. Stéphane Bordas is searching for a PhD student to work on the multi-scale computational modelling and design for novel bio-waste-derived meta-structures. The ambitious goal of this project is to develop a predictive model capable of capturing the multi-scale nature of 3D-printed designs, accounting for variations in bio-waste ink composition and fabrication process parameters. The quantities of interest will include the traditional mechanical, thermal and acoustic properties of designs, but interestingly will also aim to quantify the human-centered perspective/perception. The efficiency of the computational framework will be achieved by applying acceleration techniques, including the machine-learning surrogate modelling. The work will be carried out in a wider collaboration with international academic and industrial partners under the auspices of the EIC Pathfinder project.

The doctoral student will be a member of the Doctoral School for Science and Engineering in the doctoral programme in Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training.

Key Responsibilities:

• Conduct research in the field of Multiscale Computational Methods for novel metamaterials as described above
• Develop theories, methods and computational tools
• Participate in project meetings / secondments
• Collaborate with external industrial and academic partners
• Disseminate research findings through publications and conference presentations

For further information about the role, please contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ).

Your profile

• A Master's degree in Mechanical Engineering, Mathematics, Computer Science or related field
• Solid background in mathematical modelling, computational modelling and optimization
• Solid background in finite element analysis
• Strong in programming, e.g., Python, C++, MATLAB, Mathematica,
• Understanding of concepts in machine learning / deep learning

Language Requirements:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates .

We offer

• Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the "University of the Greater Region" (UniGR)
• A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
• Transcript of all modules and results from university-level courses taken

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information:

• Contract Type: Fixed Term Contract 36 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Belval Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL07992

The yearly gross salary for every PhD at the UL is EUR 41976 (full time).