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 Parallel Computing and Optimisation group (https://pcog.uni.lu) headed by Prof. Pascal Bouvry, is seeking an outstanding Research Associate to strengthen its research team in the area of Search, Optimization, and Machine Learning Techniques.
You will play a key role in the joint research programme between the Luxembourg Institute of Standardisation, Accreditation, Safety, and Quality of Products and Services (ILNAS) and the University of Luxembourg, that aims at creating an innovative environment for smart-ICT and related standardization efforts. Three Ph.D. students will be working on the following smart-ICT targets: Trustworthy ICT, Aerospace, and Construction.
The research associate will be responsible for the project management. Tasks include overseeing the Ph.D. students within their respective research and standardization activities, assisting in organizing relevant workshops and events, supporting the dissemination of results in scientific research and technical standardization, reporting, and involvement in respective standardization committees.
The Research Associate is expected to pursue state of the art research activities in Search, Optimization, and Machine Learning Techniques, write research proposals, assist in supervision, teaching and public dissemination activities of the PCOG group.
Applications should include in English:
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. The University`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||Research Associate in Search, Optimization, Machine Learning and Technical Standardization|
|Employer||University of Luxembourg|
|Job location||6, rue Richard Coudenhove-Kalergi, L-1359 Luxembourg|
|Published||May 13, 2021|
|Job types||Researcher  |
|Fields||Applied Mathematics,   Computational Sciences,   Computational Mathematics,   Machine Learning  |