The University of Luxembourg, a leading international research university, offers a PhD position in Computer Vision for Deepfake Detection within the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The successful candidate will join the Computer Vision, Imaging, and Machine Intelligence (CVI²) research group, led by Professor Djamila Aouada, and collaborate closely with POST Luxembourg, a major industrial partner. This research opportunity focuses on media forensics and the detection of deepfakes, contributing to both academic and industry-driven R&D activities.

As a doctoral researcher, you will conduct full-scale research, including reviewing state-of-the-art methods, implementing and validating solutions, and disseminating results through scientific publications and patents. Responsibilities also include supporting experiments, proposal writing, organizing workshops and demonstrations, and engaging in outreach activities to promote SnT's research and citizen science initiatives.

Applicants must have a Master's degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related field, with a strong background in image and signal processing, particularly in computer vision. Essential skills include programming proficiency and experience with deep learning frameworks such as TensorFlow or PyTorch. Familiarity with machine learning and deep learning concepts is required, and experience with face-related tasks (face recognition, landmark detection, emotion and expression recognition, deepfake generation) is an asset. A solid foundation in applied mathematics and a keen interest in media forensics and misinformation dynamics are important. Candidates should demonstrate adaptability, commitment, collaboration, intellectual curiosity, strong critical thinking, and fluency in English.

The University of Luxembourg provides a modern, dynamic, and international environment, with staff from over 90 countries and close ties to the business world and Luxembourg's labor market. The institution offers high-quality equipment, excellent infrastructure, and partnerships with European institutions, innovative companies, and various non-academic partners.

Applications must be submitted online in English and should include a CV, publication list (if applicable), transcripts, a research statement outlining topics of interest (approx. 300 words), and a GitHub or GitLab webpage showcasing completed projects in Computer Vision. Early application is highly encouraged, as applications are processed upon reception. The University promotes an inclusive culture and encourages applications from individuals of all backgrounds, upholding equality and respect for employees and students.

For further details and to apply, visit the provided application link. Please note that applications by email will not be considered.