OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
Duties: The main focus of this position is research in the specified area on an individual and collaborative basis. Depending on the profile of the successful appointee, limited teaching and administrative duties can be included.
Special effects constitute an increasingly important part of film and video production. With the help of computer simulations and advanced methods for image processing it is beginning to be difficult to decide which images are real and which are virtual. The technologies which lie behind this development range from the simulation of water, smoke, fire and other physical phenomena to the fully virtual characters that can be used to replace stuntmen and large numbers of people seen in the background of a shot. A major area of basic research in special effects is in working with captured images. Through image based rendering and lighting real scenes can be used to create very realistic virtual environments. For example an actor can be virtually placed into an environment that it is not possible to film in, or virtual objects can appear real. Even the camera movements can be carried out virtually.
The aims of creating this new position are to further strengthen the skills in special effects within ITN and to carry out basic research in the area of image based rendering and lighting. Research questions will primarily be derived from applications of special effects methods and in some cases be based on collaborations between the Norrköping Visualization and Interaction Studio (NVIS) with companies in the field.
Qualifications: A doctoral degree (or equivalent experience) and teaching skills are required for the position. Proven research ability is the most important criterion in the selection of candidates for this position.
The successful candidate will have skills and experience including:
1. Scientific qualifications in image based rendering and lighting shown through publications in internationally recognised conferences and journals.
2. Deep knowledge and practical experience of computer graphics.
3. General experience of image analysis.
4. Practical experience of methods for capture of image and lighting information.
5. Good programming skills in computer graphics, particularly GPU programming.