SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.
We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from highly motivated PhD candidates in the general area of software engineering within its SEDAN research group. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information, you may refer to https://wwwen.uni.lu/snt
The SEDAN (SErvices and Data mANagement) research group, headed by Prof. Radu State addresses impact-oriented research activities in the areas of security, service management and monitoring. More specifically the group is interested on designing architectures, algorithms and approaches in the context of the new challenges given by ever increasing volumes of data, multiple and permanent connectivity and new distributed consensus systems based on blockchain paradigms. https://wwwen.uni.lu/snt/research/sedan
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.
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:
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.
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.
|Title||Doctoral candidate (PhD student) in Computer systems for Machine Learning|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Published||October 9, 2020|
|Job types||PhD  |
|Fields||Algorithms,   Computer Architecture,   Information Systems (Business Informatics),   Parallel Computing,   Programming Languages,   Computer Engineering,   Machine Learning  |