PhD call of the Research Group Applied Thermodynamics

The University | About us...

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University's faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its "international outlook," #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

The Faculty of Science, Technology and Medicine (FSTM) 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 successful candidate will join a strong and motivated research team led by Prof. Stephan Leyer to pursue the PhD degree in one or more of the following signal processing topics:

• Adiabatic boiling
• Evaporation Modelling
• Machine Learning in Fluid Mechanics
• Characterization of Flashing Phenomenon in Adiabatic Riser pipe - CHFPAAR
• Heat Transfer Optimization in Solids

For details about the proposed topics, please visit: https://shorturl.at/gIJV6. Depending on the topic chosen, the position holder will be required to perform the following tasks:

• Carrying out research in the predefined areas
• Participating in research proposal drafting and project deliverables
• Perform laboratory experimentation, validation, and testing
• Development of data acquisition and processing algorithms
• Disseminating results through scientific publications and conference presentations
• Assisting in organization of relevant workshops and demos

What we expect from you…

Qualification: The candidate must possess a Master of Science (MsC) degree or equivalent in Mechanical Engineering, Physics or Computer Science.

Experience: The ideal candidate should have some knowledge and motivation in a number of the following topics:

• Design-of-experiments
• Computational Fluid Dynamics
• Machine Learning
• Good knowledge of quantitative and qualitative research methods
• Good programming skills (Matlab, C++, Python)
• (Co-)authored peer-reviewed scientific publications are a plus
• Very good oral and written competences in English are mandatory; German, French and/or Luxembourgish is a plus
• Excellent communication skills
• Ability to work in a multidisciplinary and multicultural team

How to apply...

Applications should include:

• Curriculum Vitae
• Cover letter (500 words maximum) explaining candidate's interest in pursuing PhD studies and a short comment on which of the listed topics is of particular interest to the candidate and why
• Master / Bachelor Thesis and list of publications (if available)
• Names and contact information including email addresses of two references
• Transcript of records 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.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.