Doctoral researcher in Computer Vision

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.

The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. Multiple positions are available. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including collaborations with industrial partners as well as national and international academic initiatives.

These projects span the full research and development lifecycle, requiring large-scale experimentation, real-time system implementation, data acquisition and curation, preprocessing, model training, validation, and rigorous performance evaluation. CVI2 is a dynamic, fast-growing research group composed of highly motivated, active members. The group benefits from advanced research infrastructure, including the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, and the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions.

In addition, CVI2 provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D understanding and generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision‑language models, and computer vision applied to space applications.

Key responsabilities:

• Develop novel research directions aligned with CVI2’s research priorities
• Propose and implementing innovative, concrete solutions and delivering impactful results
• Disseminate results through scientific publications and/or patents
• Provide support in setting up and running experiments
• Participate in proposal writing
• Develop and deploying real-time AI solutions
• Participate in organizing relevant workshops and demonstrations
• Participate in outreach activities to promote CVI2’s research activities and citizen science

• Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field
• Strong background in image/signal processing, and in particular, computer vision
• Strong programming skills in Python/C/C++/MATLAB
• Familiarity with machine learning and deep learning concepts
  
  Experience with at least one of the following deep learning frameworks:
  Tensor Flow, Py Torch
• Experience with topics closely related or directly aligned with CVI2’s research priorities would be an asset
• Strong background in applied mathematics
• Capacity to adapt and thrive in a fast-paced and dynamic research environment
• Committed, collaborative, intellectually curious, and a strong critical thinker
• 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 …

Applications,…