Research Associate (Postdoc) in computer vision for DeepFake detection
University of Luxembourg
Luxembourg, Luxembourg  
il y a 2j
source : Academic Media Group International AB

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.

We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.

We offer an attractive Research Associate (Postdoc) position in close cooperation with our industrial partner POST Group.

POST Group is one of the largest employers in Luxembourg. It has a well-established reputation and is firmly rooted in Luxembourg.

It is also an innovative company that adopts an open-minded approach to the world thanks to its constantly evolving activities (www. / home). The successful candidate will join the Computer Vision, Machine Intelligence and Imaging (CVI²) research group headed by Prof.

Djamila Aouada to conduct exciting research in the field of Computer Vision.

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Your Role

The selected candidate will help out in shaping research directions and carry out high-impact research within the SnT and Post R&D activities.

The successful candidate will perform the following tasks :

  • Shaping research directions and producing results
  • Disseminating results through scientific publications
  • Attracting funding in cooperation with industrial partners
  • Participating in proposal writing
  • Coordinating research projects and delivering outputs
  • Providing support in setting up and running experiments
  • Implementing real-time solutions
  • Providing guidance to PhD and MSc students
  • Organizing relevant workshops and demonstrations
  • Participating to the teaching activities
  • Your Profile

  • A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field
  • Competitive research record in Computer Vision, preferably with publications at top-tier CV / ML conferences / journals
  • Strong development skills in Python / C++
  • Strong mathematical background
  • Broad experience with machine learning algorithms and deep learning concepts
  • Previous experience with Generative Adversarial Networks (GANs)
  • A particular interest in DeepFake and DeepFake detection approaches
  • Commitment, team working and a critical mind
  • Fluent written and verbal communication skills in English are mandatory
  • Here’s what awaits you at SnT

  • Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better
  • The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our
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