The University of Luxembourg, a modern and international research university, is offering a PhD position in Data-Driven Multiscale Bio-Waste Metamaterials within its Faculty of Science, Technology and Medicine (FSTM). The position is hosted by the computational mechanics group led by Prof. Stéphane Bordas, with collaboration from Dr. Jakub Lengiewicz. The research aims to develop predictive computational models for novel bio-waste-derived meta-structures, focusing on the multi-scale nature of 3D-printed designs and accounting for variations in bio-waste ink composition and fabrication process parameters. The project will investigate mechanical, thermal, and acoustic properties of these materials, as well as human-centered perception aspects. Advanced computational frameworks will be developed, leveraging machine-learning surrogate modelling and acceleration techniques. The research is part of the EIC Pathfinder project and involves collaboration with international academic and industrial partners. The doctoral student will join the Doctoral School for Science and Engineering, participating in an interdisciplinary and internationally competitive research training environment. Responsibilities include conducting research in multiscale computational methods, developing theories and computational tools, participating in project meetings and secondments, collaborating with external partners, and disseminating findings through publications and conferences. Applicants should have a Master's degree in Mechanical Engineering, Mathematics, Computer Science, or a related field, with strong skills in mathematical and computational modelling, optimization, finite element analysis, and programming (Python, C++, MATLAB, Mathematica). Understanding of machine learning or deep learning is desirable. Language proficiency at B2 level in the thesis language is required. The University of Luxembourg offers a multilingual and international environment, high-quality equipment, close ties to industry and society, and a competitive salary of EUR 41976 per year for PhD students. The position is based at the Belval Campus and is a fixed-term contract for 36 months, full-time. Applications should be submitted online via the university's HR system, including a CV, cover letter, and transcript. Early applications are encouraged, and all qualified individuals are welcome to apply. The university promotes an inclusive culture and values equality and respect for all employees and students.

The University of Luxembourg is offering a fully funded doctoral position for a Doctoral Researcher in Tree-Soil Systems, situated within the Faculty of Science, Technology and Medicine (FSTM). This interdisciplinary PhD project is part of the Forest Function Under Stress (FORFUS) doctoral training unit, focusing on the mathematical and computational modelling of tree-soil interactions. Forests play a crucial role in climate regulation, water cycling, biodiversity, and human wellbeing, but their resilience is increasingly threatened by environmental stressors such as drought and heatwaves. While canopy decline is visible, the long-term stability of forests is determined by below-ground processes, including carbon allocation to roots and symbiotic mycorrhizal fungi. The research aims to develop innovative mathematical and computational models to describe how trees exchange carbon, water, and nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework based on Partial Differential Equations (PDEs) to represent the coupled dynamics of roots, mycorrhizal fungi, and soil resources under varying environmental conditions. The project integrates applied mathematics, computational mechanics, and biological network modelling, contributing to the advancement of mechanistic tree and ecosystem models. The doctoral researcher will work at the interface of mathematics and environmental science in a highly interdisciplinary environment, collaborating with experimental soil scientists, ecologists, and forest modellers within the FORFUS consortium. The position is embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg and offers broad methodological training and transferable expertise, with conceptual links to adaptive network and multiscale modelling strategies used in the computational mechanics group led by Prof. Stéphane Bordas. Responsibilities include conducting research in multiscale computational methods, developing theories and computational tools, participating in project meetings and secondments, collaborating with external industrial and academic partners, and disseminating research findings through publications and conference presentations. The position is based at the Belval Campus and offers a fixed-term contract of 36 months, full-time (40 hours per week), with a yearly gross salary of EUR 41976. Applicants must have a Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline, with strong skills in differential equations, numerical methods, and programming (Python, C++, Julia, or similar). Interest in interdisciplinary research bridging mathematics and environmental systems is essential, as is the ability to work independently and collaboratively in an international environment. Language proficiency at B2 level or higher is required for the thesis language. The University of Luxembourg is a modern, multilingual institution with staff from over 90 countries, offering high-quality equipment, close ties to the business world and Luxembourg labour market, and a unique urban site with excellent infrastructure. The university promotes an inclusive culture and encourages applications from individuals of all backgrounds. To apply, candidates should submit a curriculum vitae, cover letter detailing motivation and alignment with the doctoral thesis topic, and transcripts of university-level courses. Applications must be submitted online through the HR system; email applications will not be considered. Early application is encouraged as applications are processed upon reception.