Open Faculty position in Computer Graphics and Visualization

Application deadline: September 1st, 2020.

More information can be found here


Open PhD and Postdoc positions in Computer Graphics and Visualization

You will find concrete positions on this page.
Nonetheless, we are always looking for motivated PhDs and Postdocs in the areas of Computer Graphics and Visualization.
Precisely, we are interested in candidates from the areas of rendering, alternative representations, and visualization, geometric modelling.

For more information or questions, please contact Lauretta Ritchie (

Position requirements:
We are looking for a candidate who meets the following requirements:

  •  You are a talented and enthusiastic researcher.
  •  PhD Track: You have experience with or a strong background in computer graphics and image processing. Preferably you finished a master in the speciality of Computer Graphics in Computer Science, additionally, you might qualify with a diploma in (Applied) Mathematics, (Applied) Physics or Electrical Engineering if you have graphics experience.
  • PostDoc: You have a PhD in the domain of the position and/or strong experience in one of the related fields (computer graphics, visualization, geometry processing, and human machine interaction)
  • You are an excellent scientist with an excellent publication record.
  • You are familiar with C++, OpenGL, and GPU programming.
  • You have good communication skills
  • You are a good teamplayer and able/willing to supervise bachelor, PhD, and Master students related to this project.
  • You have good command of the English language (knowledge of Dutch is not required).

PostDoc : Computer Graphics and Visualization applied to Sailing
This Postdoc position will be part of a project in collaboration with the Sailing Innovation Center ( ), whose goal is to create excitement for the sailing sport by involving modern technologies.

A sailing athlete has to consider complex information; the boat, the wind, the sea currents and more to decide how to act and react. While athletes are trained in combining these factors, for external observers, their decisions are not always clear. Further, many of the factors that went into the decision are not directly available and it is quite difficult to follow a competition without the necessary background knowledge. The goal of this project is to make the information understandable and accessible to a larger audience to improve the engagement of the observers.

The postdoc will contribute with new and exciting ways to interact with the sport that will also lead to cutting-edge research in Computer Graphics, Visualization, or other related fields. The candidate will actively contribute in designing and developing the appropriate solution and will have freedom in choosing the methodology and technology that best fits his research background and ambitions, such as, Visualization methods, Virtual and Augmented Reality technologies, new Interaction modalities, Simulations, Game technologies, among others.

The project is supported by many partners, including several companies providing streaming models and sailing-related data via sensors and the candidate will work closely with a PhD student, who is investigating data models to discover patterns in order to improve training analysis. The work will further be developed in a practical setting with strong collaboration with the sailors, coaches, and other members of the Sailing Innovation Center. The developed research is intended to be employed in future sailing competitions by the Dutch Sailing Team.

For more information please contact Dr. Ricardo Marroquim.

Application procedure:


PhD: High performance visualization and analysis of genome data

Genomic and genetic understanding might be a key component in creating more resistant plants via breeding strategies that can address major hurdles in the food supply around the globe. Nevertheless, the ever-increasing amounts of genomic data that are needed in these investigations lead to many challenges. Inadequate visualization solutions as well as long processing times negatively impact work efficiency.

We propose to investigate purpose-designed visualization solutions that aid users in their exploration and comprehension of large genomic datasets. The visualization solutions will be supported by novel algorithms and data structures specifically developed to efficiently manage large amounts of genetic markers and/or DNA sequences. We want to achieve these goals using modern high-performance techniques that have proven useful in the field of Computer-Graphics. Hereby, we intend to enable the interactive exploration, analysis, annotation, and collaboration on such data.

Specifically, several questions will guide our research. How to tradeoff efficiency in storage and performance for visualizing vast amounts of genome data? What visualization techniques/paradigms are suitable for different types of genomic data? How to learn, extract, highlight patterns from such data? How to annotate and summarize genome information? How to enable interactive collaborations among several researchers? In fact, the PhD candidate will have the opportunity to work closely with domain experts to gain insights into their workflows and requirements.

Additionally, given the generality of some of the envisioned solutions, we will search for applications in other areas of the field of Computer Graphics as well.


PhD: VR Renovate

VR-Renovate is a multidisciplinary project that involves 3D rendering, Virtual Reality (VR), and visualization technology in order to ease societal transition into sustainable home design.

As the Netherlands transitions into more sustainable housing in line with the EU energy efficiency goals, sustainable home renovation plays a key role. Often, existing tenants must choose or approve home renovations intended to improve the energy efficiency of their homes, e.g., solar panels or heat-exchange system installation. Guiding tenants through sustainable renovation is a means to support transformational societal change while remaining flexible enough to adapt to individual needs. In order to help tenants make smart choices during these renovations, effective communication is crucial. Such communication needs to go beyond written reports, as knowledge can influence people’s perception and acceptance of energy measures.

The VR-Renovate project is aimed at addressing the communication gap. The goal of this project is to research and test effective real-time graphics and visualization technology based on virtual reality displays, intended to provide an accurate depiction and understanding of the results of sustainable home renovations.

Within the scope of the project, we aim at developing realistic material and lighting models that allow for rendering at the high framerate and resolution needed for VR headsets. Realistic rendering results are necessary in order to provide tenants with the most accurate representation of a completed renovation. We will also investigate how to best present different design alternatives in order for the tenants to be able to effectively compare and contrast different choices for their homes. Effective visualization must balance the realistic depiction of the tenant’s residence and also visually salient depictions of renovation changes in order to reduce the chance of unforeseen results for tenants. Furthermore, the use of VR eye-tracking technology can potentially help us better convey information and obtain feedback in order to refine the system. Knowing where users visually fixate can allow us to analyze and understand common concerns, detect when information is not being effectively conveyed, or guide users towards important elements.

For more information about this vacancy, please contact Prof Lauretta Ritchie at L.Ritchie <at>


PhD+Postdoc: Multi-view Rendering
The classic setting of a standard screen, a compute device, and a single user is about to change, with the advent of many-view rendering scenarios. Stereoscopic, virtual-reality, augmented reality, multi-view, and soon light-field and holographic displays (to provide correct depth perception) enter the mass market and require many images of the same content. Similarly, other applications, such as remote-rendering with large crowds operating low-performance devices, or complex light transport phenomena (see image) lead to structurally similar challenges. This project addresses the topic of many-view rendering via three research lines with high potential for scientific and technological impact. First, we want to identify and reduce recurring computations. Second, given that the user interprets the image, we aim at reducing costs by exploiting perceptual limitations. Finally, we will conceive novel design tools to build efficient content for many-view scenarios.


Postdoc: Creative Computer Graphics
In this work, we plan to investigate solutions for creative content production to support the creation of high quality visual content by novice users. The work will combine aspects of computer graphics, perception, and computational photography. The idea is to rely on perceptual insights to improve the outcome of a creation process. The postdoc will be able to investigate several projects, ranging from computational photography, over stereo perception, to interactive style control and transfer.



For more information about the vacancies, please contact Lauretta Ritchie at L.Ritchie <at>