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!
This is a fully funded position for 3 years (extendable to an additional 4thyear) connected to a partnership with Proximus, a Luxembourgish company in cloud computing (under brand name Telindus) and telecom operator (under brand name Tango). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of Proximus towards their product development.
Cloud computing has enabled elastic provisioning of computer resources and revolutionised the industry leading to basically zero cost investment needed for infrastructure of new IT-companies. Most resources provisioned this way comes from data centres with a vast array of quite similar compute offerings. With modern distributed client-facing applications, however, there is a need to move the resources closer to the clients, to the Edge. While this is possible today, it is a manual time-consuming and error prone process.
The project for this position deals with automation of this process by developing a set of complementary services. We will work on programming models, develop a technology to allow software components to be executed on heterogeneous hardware (including accelerators) without being modified. We will also develop scheduling technology that can take performance constraints into account and run the software at the compute resources that make most sense taking not only performance into account but also power consumption.
The successful candidate will be supervised by Dr. Mats Brorsson (also Professor at KTH Royal Institute of technology) from the University of Luxembourg and with an industrial supervisor from Proximus, and join a strong and motivated research team lead by Prof. Radu State. The candidate is also expected to spend 20-30% of her/his time at the Proximus premises in Luxembourg.
The position holder will be required to perform the following tasks:
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.
Applications should be submitted online and 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.Continue reading
|Title||Doctoral candidate (PhD student) in cloud computing|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Published||October 28, 2020|
|Job types||PhD  |
|Fields||Computer Architecture,   Distributed Computing,   Information Systems (Business Informatics),   Parallel Computing,   Computer Engineering,   Electrical Engineering  |