We are looking for a postdoc to extend our activities around visual analytics. In the past, we have developed several algorithms for efficient data visualization and interaction. One specific example is Cytosplore (https://graphics.tudelft.nl/cytosplore/), an interactive tool for the analysis of single cell (i.e., Mass Cytometery/CyToF) data with the goal of identifying differences in the immune system that lead to different reactions to a disease. In this context, we have developed a modular system that enables us to extend the solution. Currently, in the context of the Delft Data Science Initiative at Delft University of Technology, we are collaborating with researchers from various domains, including sport and training, cultural heritage, the biomedical domain, as well as architecture and urban planning. Their data sets are often heterogeneous, large and high-dimensional, which makes it difficult to understand the data and extract useful information. To overcome this challenge, we need domain-specific visual-analytics solutions, as well as solutions to fundamental challenges of data processing and interaction. The candidate will be embedded in a strong support group with permanent researchers and PhD students.

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

• You have a PhD degree in visualisation/visual analysis.
• You have good communication skills.
• You are creative, ambitious, hardworking and persistent.
• You have a good command of the English language (knowledge of Dutch is not required).

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 4000 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics. EEMCS: Your Connection to the Future. 

The Department of Intelligent Systems (INSY) conceptualises computer science methodologies to sense, abstract, learn, reason, elicit and adapt data and their meaning in ways that respect human values in order to increase human effectiveness, well-being and social innovation. At the heart of the department is therefore its research and teaching in computer science theory, algorithms and solutions for information processing systems that support humans (e.g. robotics), new products (e.g. Internet services), and science (e.g. biology)The Computer Graphics and Visualisation Group has a strong research record and is known for its expertise in visualisation, modelling, game technology, and rendering. Besides these major topics, interaction techniques, virtual/augmented reality, vision, perception, computational photography, and simulations play an important role. The group also participates strongly in the Delft Research Initiatives 'Environment' and 'Health', thereby aiming to find solutions for tomorrow’s problems. The group maintains a strong network of worldwide partners from academia, medical centres and the industry   

https://www.tudelft.nl/en/eemcs/the-faculty/