Vacancies

To apply for the following positions, please send your resume to the corresponding email address.

Research Associate

[Deadline: 30 Apr 2021]

Position: Research Associate

Duration: (Full Time, 24 months)

Project: DEMONSTRATION

Apply here: a.aristidou@ieee.org

The project ┬źDEep MOtioN SynThesis foR character AnimaTION (DEMONSTRATION)┬╗ covers a wide range of multidisciplinary topics that are in line with the recent tendencies in computer graphics, character animation, and virtual reality. It aims at investigating modern trends in machine (deep, convolutional, adversarial, and reinforcement) learning, with ultimate target to provide ingenious solutions for overcoming the current limitations in character animation, and essentials for future improvements in a wide range of ambitious and challenging projects.

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Special Scientist

[Deadline: 10 Apr 2021]

Position: Special Scientist (Marie-Curie Early Stage Researcher)

Duration: (Full time, 3 years)

Project: CLIPE

Apply here: yiorgos@cs.ucy.ac.cy; marios@silversky3d.com

The research objective of CLIPE is to design the next-generation of VR-ready characters. CLIPE is addressing the most important current aspects of the problem, making the characters capable of behaving more naturally; interacting with real users sharing a virtual experience with them; being more intuitively and extensively controllable for virtual worlds designers. For more information on the project, please also visit https://www.clipe-itn.eu.

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Research Associate

[Deadline: 01 Jan 2021]

Position: Research Associate

Duration: (Full Time, 12 months)

Project: ALADDIN

Apply here: a.aristidou@ieee.org

Motion capture is a technology used for turning the observations of a moving subject into 3D position and orientation information, stimulating our ability to define and virtually portray complex movements. The ALADDIN project aims at the development of such a technology that goes beyond conventional methods, is cost-effective, and minimizes the risks associated with capturing in dynamic situations. The proposed system is easily scalable and intrinsic, in the sense that measurements are not taken by external devices, enabling efficient capturing in outdoor environments, with state-of-the-art acquisition accuracy.

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