The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Your role
We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful candidate will work on a project focused on advancing AI and analytics methodologies to process, analyze, and extract insights from time series data. The project aims to develop and implement scalable and reliable tools to address challenges in time series analysis, with potential applications in Industry 4.0. A background in Industry 4.0 or related fields is considered a valuable asset.
TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/.
The successful candidate will:
- Conduct cutting-edge research in time series analysis, machine learning, and sequential data processing
- Develop and implement algorithms for analyzing time-dependent data, focusing on scalability, reliability, and interpretability
- Contribute to national and international research collaborations in AI, analytics, and time series analysis and related fields
- Prepare project deliverables and disseminate results through high-quality scientific publications.
- Present findings at renowned international conferences and workshops
- Guide and mentor PhD, MSc, and BSc students working on related topics
- Support the organization of demonstrations and workshops relevant to time series analysis tools and techniques
- Assist in drafting research proposals to secure funding for related projects
For further information, please get in touch with Dr. Jordan Samhi (email address: jordan.samhi@uni.lu).
Your profile
We seek a motivated, independent researcher with strong skills in NLP and a passion for interdisciplinary work.
- The candidate should possess a Ph.D. degree in computer science, artificial intelligence, data science, or related fields
- Expertise in AI, analytics, and ML techniques, especially for time series and structured data
- Knowledge of applications in Industry 4.0 or experience with industrial systems is a plus
- Proficiency in programming languages such as Python, R, or MATLAB, with experience in relevant libraries and frameworks
- Familiarity with visualization tools and techniques to effectively present analytical results
- Experience in research supervision
- Strong communication skills in written and spoken English
- A proven publication record in relevant international conferences and journals
- Teamworking skills and the ability to collaborate in a multidisciplinary research environment
We offer
- Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
- A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …
How to apply
Applications should include:
- Curriculum Vitae
- Cover letter indicating the research area of interest and your motivation
- A research statement
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.
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
General information:
- Contract Type: Fixed Term Contract 24 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Postdoctoral researcher
- Job Reference: UOL06981
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time).