This is a fully funded position for 3 years (extendable to an additional 4thyear) connected to a EuroHPC JU project called MAELSTROM about using machine learning to assist in weather prediction.
The MAELSTROM project is about supplementing traditional numerical simulation in weather prediction with alternate sources of data and using machine learning algorithms to augment the precision and accuracy.
The task of SnT lies in primarily in modelling of computer systems to understand performance implications of using one architecture over another for the machine learning applications to be used.
The successful candidate will be supervised by Dr. Mats Brorsson (also Professor at KTH Royal Institute of technology) from the University of Luxembourg, and join a strong and motivated research team lead by Prof. Radu State.
The position holder will be required to perform the following tasks :
Qualification : The candidate should possess a Master degree or equivalent in Computer Science, Computer engineering, or equivalent.
Experience : The ideal candidate needs to demonstrate knowledge and skills in one or more of the following topics :
The candidate must possess strong analytical and programming skills.
We are looking for someone who is curiosity driven and who wants to constantly learn new things.
Language Skills : Fluent written and verbal communication skills in English are required.
Here’s what awaits you at SnT
But wait, there’s more!
Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.
Application should include :
Include the title and short summary of your final (Bachelor / Master) Thesis if you did one.List of publications (if any)Name, affiliation and contact details of three referees
All qualified individuals are encouraged to apply.
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.
About the University of Luxembourg
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character .
It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education.
It s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society.
For further information, please contact us at mats.brorsson uni.lu or radu.state uni.lu
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