The University of Luxembourg, a leading international research university, is seeking a Postdoctoral Researcher in Computer Vision to join the Computer Vision, Machine Intelligence and Imaging (CVI2) research group led by Professor Djamila Aouada. The university is renowned for its multilingual and interdisciplinary environment, and the Interdisciplinary Centre for Security, Reliability and Trust (SnT) is a hub for innovation in secure, reliable, and trustworthy ICT systems and services.

The CVI2 group focuses on advanced research in Artificial Intelligence, with a primary emphasis on Computer Vision, pattern recognition, and visual generative modeling. The group offers opportunities to contribute to diverse projects, including collaborations with industrial partners and academic initiatives at both national and international levels. Research topics include 3D understanding and generation, media forensics, anomaly detection, multimodal learning (especially vision-language models), and computer vision applications for space.

Facilities include the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, and the Zero-G Lab, which emulates space-like conditions for proximity operations. High-performance GPU computing resources are available to support the design and training of advanced AI models. The research agenda spans the full lifecycle, from data acquisition and preprocessing to model training, validation, and performance evaluation.

Key responsibilities for the postdoctoral researcher include shaping research directions, attracting funding in cooperation with industrial partners, contributing to competitive research proposals, coordinating projects, disseminating results through publications in top AI venues, guiding PhD and MSc students, contributing to teaching and seminars, designing large-scale experimental pipelines, developing real-time AI solutions, and participating in outreach activities.

Applicants must have a PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field, with a strong research track record and publications in leading venues. Essential skills include programming, mathematical foundations (linear algebra, probability, statistics, optimization), experience with machine learning and deep learning, independent and collaborative work abilities, analytical and critical thinking, fluency in English, and scientific writing.

The University of Luxembourg offers a modern, dynamic environment with high-quality equipment, close ties to industry and society, and a commitment to inclusivity and equality. The position is based at the Kirchberg Campus and is a fixed-term contract. Applications should be submitted online, including a CV with work experience and publications. Early applications are encouraged, and email submissions will not be considered.