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PhD position on explainable DeepFake detection using Foundation models

Are you looking for a challenging PhD position? Develop
new methods for reliable and explainable detection of
image, video and audio manipulation in DeepFake videos
to contribute to trustworthiness of image, video and audio
data in (social) media and forensic investigations and
fight fake news.

Apply now
  • Hi! Are you my
    new colleague?
    Stefano Stramigioli
  • Hi! Are you my
    new colleague?
    Jeroen Blok
  • Hi! Are you my
    new colleague?
    Clara Stegehuis
  • Hi! Are you my
    new colleague?
    Eline Meijerink
  • Hi! Are you my
    new colleague?
    Britt Büter
  • Hi! Are you my
    new colleague?
    Ying Wang

Key takeaways

  • Hours
    40 hr.
  • Salary indication
    Salary gross/monthly
    based on full-time
    € 3,204 - € 4,051
  • Deadline
    25 Oct 2026

The challenge:
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.

Your profile

  • An MSc degree in electrical engineering,

computer science or a closely related field.

  • A solid foundation in computer vision, pattern

recognition, AI-related techniques.

  • Hands-on interest in designing methods using

foundation models.

  • You are curious, creative and motivated to solve

demanding measurement problems.

  • You enjoy moving between fundamental

understanding, modelling, development and
experimental validation.

  • You work carefully and systematically and are

comfortable analysing measurement limitations
and uncertainty.

  • You communicate clearly in English and enjoy

working in an international, multidisciplinary team.

  • You are willing to travel for project meetings,

work visits and conferences.

Our offer

  • A fully funded, full-time PhD position for four years, with a qualifier in the first year and an intended start in autumn 2026.
  • A dynamic research environment with enthusiastic colleagues and close interaction between measurement science and power electronics. A working culture that encourages independence, responsibility and close collaboration. A working culture that encourages independence, responsibility and close collaboration.
  • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
  • You will receive a gross monthly salary ranging from € 3.204,- (first year) to € 4.051,- (fourth year);
  • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
  • A minimum of 232 leave hours in case of full-time employment based on a formal work week of 38 hours. A full-time employment in practice means 40 hours a week, therefore resulting in 96 extra leave hours on an annual basis;
  • Free access to sports facilities on campus;
  • A family-friendly institution that offers parental leave

(both paid and unpaid);

  • A tailored training and supervision plan supporting your scientific, technical and professional development.

Information and application

Are you interested in this position? Please send your application via the 'Apply now' button below before October 26, 2026, and include:

The first round of interviews will be held on November 1, 2026. The selection procedure includes an interview and a short technical presentation.

For more information about this position, please contact dr. Luuk Spreeuwers via the following email address: l.j.spreeuwers@utwente.nl.

Screening is part of the selection procedure.

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About the organisation

The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

Want to know more?

Spreeuwers, L.J. (Luuk)

Spreeuwers, L.J. (Luuk)
Associate Professor

Spreeuwers, L.J. (Luuk)
Associate Professor

Do you have questions about this vacancy? Then you can contact Luuk for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.

How to apply

Step 1

Apply.
When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.

Apply now

Step 2

Selection.
The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.

Step 3

1st interview.
The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.

Step 4

2nd interview.
In the second interview, we will further discuss the job content, your skills and your talents.

Step 5

The offer.
If the conversations are positive, you will be made a suitable offer. If applicable, we will sign you up for screening.

Your Colleagues

About the faculty EEMCS

Curious about what the faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) stands for? Check out the EEMCS website for more information.

A job that matters

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