Develop algorithms for populating crowded scenes based on previously created examples. It will involve close collaboration with other consortium partners on developing assets descriptors using Deep Learning, and using those to populate new scenes with naturally behaving characters.
This project is funded as part of the Horizon 2020 – the Framework Programme for Research and Innovation (2014-2020).
The candidate should have a Ph.D. degree in Computer Science, Engineering, or a related field in the area of ICT with a focus on computer animation. Experience in the area of crowd simulation or character animation is highly desirable.
An established track record of publication in leading journals and/or conferences, in one or more sub-areas of Computer Animation.
Knowledge of Machine Learning and Deep Learning is highly desirable.
Experience with motion capture is welcome.
Effective communication and interpersonal skills both written and verbal.
Dedicated team player who can take responsibility to contribute to the overall success of the team.