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 PhD holders in the general areas of Engineering, Robotics and Computer Science. SnT is carrying 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 check: www.securityandtrust.lu.
As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, under the supervision of Prof. Yves Le Traon and Dr. Maxime Cordy, working on a research collaboration between STATEC (the national statistical institute of Luxembourg) and SnT. STATEC is investigating to what extent data science and machine learning could contribute to improve their internal processes and statistical analyses. The special case of large-size datasets, typically arising from high frequency automated recording of human activites, and the way to extract its statistical essence, is of high importance the institute. Among various use cases, STATEC is particularly interested in conducting an in-depth analysis of fine-grained mobile phone data for various applications (e.g. impact of COVID-19 on behaviours and sanitary and economical impact, home-work commuting, mobility of cross-border workers or tourists).
You will help STATEC in capacity building in data science (DS)/machine learning for official statistics.
You will contribute to research work in the area of applied machine-learning (ML) and software engineering (SE). The topics that may be explored include (but are not limited to):
The results of the project are expected to apply to multiple use cases, even if the main used case is related to mobile phone data, in collaboration with partners of the group. Depending on your profile, the project can focus more on theory, development and/or applications. However, all three aspects are expected to be covered during the project.
The Supervision Team You Will Be Working With Is
You Will Be Required To Perform The Following Tasks
Qualification: The candidate should possess a PhD in Computer Science.
Experience : The ideal candidate should have some knowledge and/or experience in a number of the following topics:
Strong software development skills are mandatory.
Language Skills: Fluent written and verbal communication skills in English or French are required.
Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities.
Applications 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.
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.
The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international, multilingual and inte...Visit the employer page