Phd Position Immersive Lab

4 maanden geleden

Delft, Nederland TU Delft Voltijd

PhD Position Immersive Lab-
**_Immersive Data Visualization and Virtual Environments._**

Immersive technologies, such as virtual reality (VR), augmented reality (AR), and mixed reality (MR), can transform how we perceive, interact, and communicate with the world and each other.

Job description

The Immersive AI Lab will be structured around several projects to transform various sectors through AI, data, and digitalization. In total, four PhD students are part of the Lab besides the involved directors; Ting Li (Erasmus) and Elmar Eisemann (TU Delft).

We are looking for up to two new PhD students in Computer Graphics and Visualization, who will be hosted at TU Delft with Prof. Eisemann as the main supervisor, covering the topics of Immersive Data Visualization and Virtual Environments, as outlined below.

Virtual Environments.

The project will benefit from contacts to the faculty of architecture, as well as the Delft Science Center.

Immersive Data Visualization.

The use of VR/AR for visualization is still in its infancy, yet the potential is high. Scientific visualization has received most attention in this context, as the data often relates to real-world objects, where AR technology is very promising. An almost untapped area is to integrate observer information captured by the device to adapt visualization solutions. An example is cognitive load (which can be measured via eye tracking/pupillometry). Additionally, the depth perception in such devices reduces the load for the interpretation of 3D datasets. Yet, while interactions in a 2D domain are well explored, user interaction in 3D spaces requires new paradigms. We envision that a methodology relying on novel modalities (e.g., gaze trackers and 3D controllers) combined with ML-based analysis to adapt the interaction in an intelligent way to the data will be of high benefit. This project will make first important steps in exploring VR/AR in the context of Data Visualization.

While we target fundamental findings, the planned projects connect to concrete partners and targets, including collaboration with musea for fine-arts analysis and the medical domain.

**Requirements**:

- You are talented and enthusiastic.
- You have good communication skills.
- You are familiar with C++, OpenGL, and/or GPU programming.
- You are a team player and able/willing to supervise students related to the project.
- You have a good command of the English language (knowledge of Dutch is not required).
- You have experience with or a background in computer graphics/image processing/VR technology. Preferably you finished a master in the specialty of Computer Graphics in Computer Science, additionally, you might qualify with a different technical diploma (e.g., (Applied) Mathematics, (Applied) Physics or Electrical Engineering), in which case graphics experience is a bonus.

Conditions of employment

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

TU Delft (Delft University of Technology)

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

Challenge. Change. Impact

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment - which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong

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