Doctoral candidate (PhD student) in Computer systems
University of Luxembourg
Luxembourg, Luxembourg  
il y a 6j
source : Academic Media Group International AB

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

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

Your Role...

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 :

  • Contribute to the project MAELSTROM : MAchinE Learning for Scalable meTeoROlogy and cliMate
  • Carry out research in the predefined areas
  • Disseminate results through scientific publications
  • Present results in well-known international conferences and workshops
  • Your Profile...

    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 :

  • Computer systems
  • Parallel programming
  • Performance modelling
  • GPU programming
  • Knowledge in machine learning would be considered an advantage.

    The candidate must demonstrate 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...

  • A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance
  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our
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