Fully funded PhD position in Computer Graphics

Nine organisations from all across Europe joined together for a researcher project in Computer Graphics which is called PRIME (Predictive Rendering In Manufacture and Engineering). These institutions are in charge of 15 researchers´ training plans. The network can offer students a number of prominent end users of accurate rendering technology as industrial partners. Having the likes of IKEA, Procter & Gamble, Weta Digital, Zeiss and Adobe all together in one project offers unique opportunities to see multiple real world usage cases for predictive rendering technology in action. Right now there is only 1 position left!

Position for an early-stage researcher (ESR 01) in Prague, Czech Republic: Predictive Rendering of Fluorescent Materials

Topic description:

The ESR 01 PhD position within PRIME is about developing efficient light transport simulation algorithms for volumetric materials used in 3D printing, and about the inclusion of fluorescence in modern rendering technology. The optical effect of fluorescence is currently neglected in most rendering software, but it plays a significant role in the appearance of certain materials. The research undertaken by this ESR will be both fundamental research about inclusion of fluorescence in modern rendering technology, as well as work with appearance measurement, and the trialling of such rendering capabilities in actual industrial workflows.

This person will join the Computer Graphics Group (CGG) at the Faculty of Mathematics and Physics of Charles University in Prague, Czech Republic which is led by Alexander Wilkie and Elena Šikudová, and hosts several PhD students and PostDocs. The team is very international and uses English as its working language. Topic-wise, the group’s interests are spread across realistic image synthesis, appearance fabrication, sky models, and computer vision. We are proud of our closely knit team environment, and our far-reaching network of collaborators in academia and industry. We are also privileged to be housed in a magnificent historical building right underneath Castle Hill in the historical centre of Prague.

Formal Requirements:

  • Master’s degree in Computer Science, Applied Mathematics, Physics or Engineering. For exceptional candidates, Bachelor’s degree in the same disciplines will also be considered.
  • No Ph.D. yet.
  • Less than 3 years of professional employment after obtaining your master’s degree.
  • Less than 12 months of residency in Czech Republic in the last 3 years.

Technical Requirements:

  • Advanced knowledge in the field of computer graphics, especially (volumetric) light transport simulation and material modelling.
  • Solid foundation in optics, linear algebra, Monte Carlo integration, colour science.
  • Experience with rendering software, preferably path tracers like Corona, VRay, pbrt or Mitsuba.
  • Solid working proficiency in writing, debugging and maintaining C, C++ and/or Objective-C code.

Soft Skills Requirements:

  • Fluent spoken and written English, minimum level B2, C1 definitely preferred.
  • Self-reliant working style.
  • Curious and ambitious personality.
  • Prior research and publication experience is considered a definite plus, but is not required.

Employment details:

  • Pay is standardised by the EU, allows for comfortable living as a student by local standards, and adjusted for local cost of living per country.
  • Employment duration within PRIME is 36 months. We prefer candidates to be available as soon as possible.

How to apply:

Qualified applicants are invited to submit the following information to Tato e-mailová adresa je chráněna před spamboty. Pro její zobrazení musíte mít povolen Javascript.:

  • A single Page CV
  • A scan of one’s Master’s diploma, along with a transcript of records for the master studies
  • A motivation letter why one wants to join PRIME, along with a justification why one thinks one fits the research topic.
  • Letters of recommendation from two previous employers and/or teachers at the university the applicant graduated from (ideally, this includes the supervisor of the master thesis).

Please collate all this information into a single PDF file, and provide it to us either as mail attachment at the above address, or via a file sharing service such as Google Drive.