Open positions:

Our group is constantly looking for excelent candidates (Ph.D., postdoc, and interns at Master & Ph.D. levels) who would like to work in the areas of computer graphics. More precisely, the interests of our group lie in computational displays and computational fabrication. We are interested in novel computational methods for driving novel display devices (e.g., AR/VR displays) and different digital fabrication devices (e.g., 3D printers). In our work, we often exploit human perception to overcome the physical limitations of the hardware and rely on new machine learning techniques, such as convolutional neural networks, to model perception.
We are looking for candidates interested in one or more of the following areas:

  • Computational display
  • Efficient rendering for novel displays (e.g., VR/AR)
  • Display design
  • Eye tracking
  • Visual perception
  • Machine learning
  • Image & video processing
  • Computational fabrication
  • Appearance reproduction
  • Haptic perception

For more information about the topics of our research, please check our list of publications.


Important: All the candidates are expected to read the instructions below carefully. In obvious cases, where the candidates are not familiar with the procedure described below, the corresponding applications will not be considered.

Opportunities & Goals:

Goal:
The goal of our group is to conduct high-quality research in areas related to computer graphics and computer vision. We focus on publishing at the top computer graphics and computer vision venues. Many of our works have been published and presented as technical papers at the ACM SIGGRAPH conference series. We expect the candidates to contribute to this success.


Projects:
Our group was recently awarded an ERC Starting Grant for a project titled "Perceptually-Driven optimizations of Graphics Content for Novel Displays" whose main goal is developing new algorithms for driving future display devices. The project will involve working with new display designs, such as VR and AR setups, investigating their essential aspects that influence perceived quality, and devising new content optimization and creation techniques which maximize visual quality and human performance while minimizing required computation. In the project, we plan to exploit new machine learning techniques in the context of modeling visual perception.

We also have several projects in the field of computational fabrication focusing on appearance and haptic feedback reproduction, where the goal is to empower the new 3D printing technology with computational methods for creating new designs which look and feel the way we like.


Collaborations:
Our group has several ongoing collaborations with world-leading research centers including MIT, Harvard, University of Toronto, Adobe Systems, Nvidia, and Max Planck Institute. The future group members are expected to take an active part in these activities, and, through this collaboration, get to know many other computer graphics reserchers.

General requirements:

Candidates, depending on the stage of their career, should have education in computer science, solid math, and programming skills, as well as knowledge of typical software tools used in the graphics community (e.g., OpenGL, GLSL, OpenCV, CUDA, Matlab, etc.). Ph.D. candidates are expected to have completed master thesis with a significant research component (ideally submitted for publication or published). The candidates for Postdoc positions should have an excellent publication record at high-level conferences and journals. We expect all candidates to be fluent in both written and spoken English. Above all, the candidates should have a strong desire for research and publishing at top venues such as ACM SIGGRAPH, Eurographics, or CVPR.

Application process:

If you are interested in one of the above positions please contact Piotr Didyk by writing to . The subject of the e-mail should start with a phrase: [Application]. The application documents should include:

  • CV

  • Statement of purpose

    A brief motivation letter explaining why you would like to join our group, how you plan to contribute to it, and which problems you would like to tackle. Candidates for Postdoc positions are encouraged to send a longer research statement where they expand on their previous research and future plans.

  • List of publications

    Important for Postdoc candidates.

  • Transcripts of records

    Important for Ph.D. candidates.

  • References

    Contacts to 2-3 people who agreed to write a recommendation letter.

Note: We do not offer internships for undergraduate students.