Doctoral researcher in Computer Vision for Deepfake Detection
Join the University of Luxembourg to advance research in media forensics and deepfake detection.
Best for:Best for candidates with a Master's degree and strong technical proficiency in deep learning frameworks like PyTorch or TensorFlow.
Overview
The University of Luxembourg is seeking a motivated doctoral researcher to join a project focused on computer vision, media forensics, and deepfake detection. The successful candidate will be responsible for researching, implementing, and validating innovative technical solutions to identify synthetic media. This position offers the opportunity to contribute to cutting-edge research and publish findings in high-impact academic venues. Applicants are expected to possess a strong background in computer vision and deep learning.
What you'll do
- Conduct original research in the field of computer vision and media forensics.
- Develop and implement novel algorithms for the detection of deepfake content.
- Validate proposed technical solutions through rigorous experimental testing.
- Document research findings and prepare manuscripts for publication in peer-reviewed journals and conferences.
- Collaborate with team members to advance project objectives.
Requirements
Degree required: Master's degree in Computer Science or a closely related field.
Degree offered: PhD
Language: English proficiency is required.
Instruction: English
- Strong proficiency in computer vision techniques.
- Proven experience with deep learning frameworks such as PyTorch or TensorFlow.
- Solid programming skills relevant to research implementation.
- Ability to conduct independent academic research.
Funding & terms
How to apply
Interested candidates should submit their application materials through the university's designated manual application process. Ensure all required documentation is included to be considered for the position.
- CV
- Cover letter
- Academic transcripts
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