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
Requirements:
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
Text:
Research Associate (Postdoc) in computer vision for DeepFake detection 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 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
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