"Postdoctoral Researcher in Computer Vision"

About us

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

The successful candidates will join the Computer Vision, Machine Intelligence and Imaging 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. 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. The group benefits from advanced research infrastructure, including the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, along with 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, computer vision applications for space.

Key responsibilities:

• Shape research directions and delivering high-impact results
• Attract funding in cooperation with industrial partners
• Contribute to the writing of competitive research proposals
• Coordinate research projects and delivering outputs
• Disseminate results through scientific publications in top AI tier-venues
• Provide guidance to PhD and MSc students
• Contribute to teaching and advanced seminars
• Design and executing large-scale experimental pipelines
• 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

Your profile

• PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field
• Strong research track record, preferably with publications in leading AI and Computer Vision venues
• Strong programming skills
• Solid mathematical foundation, including linear algebra, probability, statistics, and optimization
• Broad and in-depth experience with machine learning algorithms and deep learning methodologies
• Ability to work independently and collaboratively, with strong analytical and critical thinking skills
• Fluency in English is required
• Strong scientific writing skills, including preparation of high-quality technical reports and research papers

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 (including work experience, publications, etc.)

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
• Work Hours: Unspecified
• Location: Kirchberg Campus
• Internal Title: Research associate
• Job Reference: UOL08045