PhD position on explainable DeepFake detection using Foundation models
University of Twente (UT), Netherlands
- Institution
- University of Twente (UT)
- Country
- Netherlands
- Position type
- PhD
- Application deadline
- 25 October 2026
- Funding
- Fully funded position
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About this position
Job description
In the past decades, photographs and videos of events were regarded as reliable evidence for both news media and forensic investigations. However, recent developments in AI technology now make it possible, with minimal technological knowledge or skills, to create extremely convincing manipulated or synthesised images, audio and video data, often called DeepFakes.
This fact is a serious threat to the trustworthiness of news in the media and forensic processes in criminal investigations. Therefore, development of reliable methods to detect manipulations and distinguish bonafide from synthesised data is of utmost importance. In addition, especially for forensic investigations, simple detection is not sufficient. An explanation of the traces of manipulation and tools used for the synthesis or
manipulation should be produced as well.
In the EU project DEFORM, 14 research institutes, universities and companies from 6 different countries aim to develop methods and tools for explainable detection of DeepFakes using Foundation models and other techniques.
At the University of Twente, we are looking for a PhD
researcher who will work in close collaboration with the
other partners on detection of fake videos using
inconsistencies in video as well as audio.
Apply directly to University of Twente (UT)
Emerging Scholars Council is not the employer and does not recruit for this position. It is advertised by University of Twente (UT), and your application goes to them. We help students prepare and strengthen their applications.
Go to the official application page →Applications close 25 October 2026.