About us
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Department of Engineering (DoE) is a dynamic, interdisciplinary group engaged in civil, electrical and mechanical engineering, driving forward innovative research and solutions. It also has an internationally leading profile in computational science and engineering. We develop cutting-edge technologies, promoting the sustainable and economical use of resources, and meeting the technological demands of Luxembourg, the Greater Region, and beyond. Nearly all research projects are supported by a network of national and international partnerships, several with public or industrial stakeholders. At the University, the Department cooperates across faculties and with the interdisciplinary centres. In particular, the new interdisciplinary centre focused on complex environmental systems opens up significant opportunities for future collaborations.
Your role
The Faculty of Science, Technology and Medicine of the University of Luxembourg is opening for its Department of Engineering (DoE) a new Associate Professor or Assistant Professor (tenure track) position in Computational Fluid Dynamics.
Advances in computational sciences, machine learning, and artificial intelligence are transforming the study of complex flows. Such systems are prevalent in both industrial physic-chemical processes and natural environments, making this research both ubiquitous and interdisciplinary. The increasing availability of experimental and production data, requires new computational methods, that leverage high-performance computing power, to develop advanced tools.
The successful candidate will be expected to develop machine learning methods that integrate physical understanding, to address challenges in dynamical systems and engineering flows and enable first-principles modeling. This involves:
- Developing machine learning methods that fuse nonlinear dimensionality reduction with dynamical systems learning, to accurately capture complex fluid behaviours
- Designing surrogate models and identifying physically important parameters from information-rich datasets, to enable innovative process design/optimization and uncertainty quantification in CFD
- Extending the capabilities of legacy CFD software, to perform ML-aided stability and sensitivity analysis in real-world industrial scenarios
- Combining CFD and experimental data to develop nonlinear observers, necessary to monitor and control engineering flows
- Envisioning and implementing the current advances in foundational model development (such as LLMs) in engineering systems is also expected, supported by the interactions with the Department of Computer Science in the Faculty of Science Technology and Medicine
Teaching is a vital component of this position. The candidate will be responsible for teaching and developing undergraduate and graduate courses within the Department of Engineering, including courses that bridge engineering and data science. Supervision and mentorship of graduate students and postdoctoral researchers are also key responsibilities, fostering the next generation of engineers and researchers. Additionally, contributing to the administration and development of the department will be expected, participating in committees and other departmental activities.
Contact: Prof. Dr. Francesco Viti:
Your profile
- PhD in Engineering, Applied Mathematics, Computer Science, or a related field, with a strong research record in Computational Fluid Dynamics
- Proficiency in advanced computational methods (reduced order modeling, PDEs,..) machine learning techniques and their application to engineering problems is also crucial
- A solid background in high-performance computing and algorithm design is highly valued
- Experience with hybrid computational systems for enhancing simulation performance will be particularly beneficial
- A track record of publishing in high-impact journals and presenting at international conferences is expected
- The ability to secure research funding and manage research projects is essential
- Excellent teaching skills and a commitment to educational excellence are necessary, as well as strong communication and interpersonal skills. The ability to work collaboratively with colleagues and industrial partners is crucial for success in this role
Language requirements:
The University of Luxembourg is set in a multilingual context. The person hired on this position must be proficient in English and either French or German. The University encourages its staff to learn the other language and provides access to language courses to this end.
We offer
- An international team at a young, dynamic university
- An interdisciplinary research environment
- An attractive starting budget
- Skilled support staff and team-oriented work environment
- Competitive salary and benefits
How to apply
Applications should include:
- Detailed CV
- Record of research work, record of teaching experience, including but not limited to:
- Full list of publications
- List and brief description of main research projects
- List of supervised doctoral theses
- List of teaching activities
- 2-page description of research interests and plans
- 3 professional references
All applications will be handled in the strictest confidence. Applications by post or e-mail cannot be considered. We encourage early application.
Gender equality:
In line with our values, the University of Luxembourg encourages an inclusive culture. We promote equality of opportunity, diversity and a working and learning environment in which the rights and dignity of everybody is respected. The University of Luxembourg is committed to achieving gender parity among its academic staff and aims to eliminate obstacles to recruitment of female professors and their career development. Should candidates present equivalent CVs, preference will be given to female candidates in all departments where gender parity is not yet achieved.
General Information:
- Contract Type: Fixed-term contract - 5 years (tenure track), with a perspective of a permanent position and promotion to Associate Professor upon a positive evaluation. In the case of an excellent, more senior candidate, a direct appointment at the level of Associate Professor with a permanent contract may be considered
- Work Hours: Full Time 40.0 Hours per Week
- Planned start date: July 2026
- Location: Campus Belval
- Internal Title: Associate professor
- Job Reference: UOL07310
