Research Associate in Computer vision-based anomaly detection

About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. 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 an attractive Research Associate position in Computer Vision for vision-based anomaly detection. The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI²) research group ( http://cvi2.uni.lu ) headed by Prof. Djamila Aouada to conduct exciting research with high impact in collaboration with multiple stakeholders.

He/she will help in shaping research directions within a European project involving multiple interdisciplinary partners. He/she will perform the following tasks: Shaping research directions and producing results. Topics include but are not limited to: Anomaly detection and pattern recognition in visual data Multimodal fusion Thermal imaging Unsupervised and self-supervised learning Data simulation and synthesis Disseminating results through scientific publications Collaborating with multiple project stakeholders from a large European consortium Carry out high-impact research within an interdisciplinary context Coordinating research projects and delivering outputs Participating in writing proposals Participating to the teaching activities Implementing real-time solutions Providing guidance to PhD and MSc students Organizing relevant workshops and demonstrations For further information, please contact Your profile A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.) A previous experience in European projects would be a plus Strong development skills in Python Strong mathematical background Ability to work in an interdisciplinary context Broad experience with machine learning algorithms and deep learning concepts Commitment, team working, and a critical mind Fluent written and verbal communication skills in English are mandatory Advanced scientific report writing skills 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, written in English should be submitted online and should include: Curriculum Vitae (including your contact address, work experience, publications, etc.) Contact information for 2 referees, including details (name, email address, etc.) Preferably, a Github/Gitlab webpage listing completed projects in Computer Vision or Machine Learning 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: UOL06995 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time).