Adresse(Valid from 09/02/2024 to 31/08/2024)
Language: English (UK)
Country: Luxembourg
Organisation data: Interdisciplinary Centre of Security, Reliability and Trust
Job Number: UOL06245
Contract Type: Fixed Term Contract
Duration 24 Month
Schedule Type: Full Time
Work Hours 40.0 Hours per Week
Expected Start Date: 01/05/2024
Functions: Postdoctorant
Job (internal): Postdoctoral researcher
About the SnT...
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.
The University of Luxembourg seeks to hire outstanding researchers at its Interdisciplinary Centre for Security, Reliability and Trust(SnT), in the SERVAL team under Dr. Michail Papadakis (http://wwwfr.uni.lu/snt/research/serval). SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects funded by national, European and international research programmes (e.g., FNR, Horizon Europe). For further information you may check: https://www.uni.lu/snt
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!
Your Role...
Europe is facing an increasing number of flash flood disasters due to climate change. Due to prevailing land-use limitations hindering the application of traditional flood protection methods, innovative strategies are essential to effectively address risks associated with pluvial and fluvial flash floods. Artificial Intelligence (AI) presents unprecedented capabilities for predicting floods, assessing their impact, and facilitating timely activation of emergency response services. Despite the existence of state-of-the-art flash flood forecast models, it is crucial to ensure the robustness of the deployed models. In this context, robustness refers to the model's capacity to withstand unexpected disturbances, such as defective sensors or data drift, which could lead to mispredictions, and consequently result in incorrect emergency procedures. The Research Associate (RA) will be responsible for formulating, implementing, and evaluating a novel approach to enhance robustness.
The RA will actively participate in the FlashFloodBraker project, funded through the EU Interreg NWE Programme and involving collaboration with other universities, including the University of Liège and Aachen University, across five countries.
Your Profile...
The expected PhD candidate should have:
- A Computer Science background
- Expertise in Machine Learning, Deep Learning
- Good programming skills (python, Java…)
- Fluent written and verbal communication skills in English are mandatory
- Commitment, team working and a critical mind
Here’s what awaits you at SnT...
- 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 Partnership Programme, we work on projects with more than 55 industry partners
- Be part of a multicultural family. At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more
Find out more about us!
In Short...
- Contract Type: Fixed Term Contract 24 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg
- Job Reference: UOL06245
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time)
How to apply...
Applications should include:
- Curriculum Vitae (including your contact address, work experience, publications)
- Cover letter indicating your motivation and expected starting date (could depend on your ongoing formation)
- Contact information for 1 or 2 referees (incl., email + phone of your contacts)
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...University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.
Further information For inquiries please contact:KUBLER Sylvain - sylvain.kubler@uni.lu
