Research Associate in Computer vision-based anomaly detection
- Luxemburg
- Freiberuflich
- Vollzeit
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 roleWe 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 ( ) 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
- 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
- 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 …
- 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
- 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