Do you have a special interest in user-centered design, interaction, and/or immersive experiences of data visualization and visual analytics? Are you fascinated by foundations and applications of visualization? We are looking for an enthusiastic researcher for the Visualization Cluster. This vacancy is part of the Irène Curie Fellowship and is currently only open to female candidates.
Job Description We are looking for a motivated researcher who has a deep interest in the study of how to optimally join the forces of humans and machines through visual representations and interaction, with a special focus on user-centered design, interaction, immersive visual analytics, and related topics.
This position seeks to expand the Visualization Cluster's expertise, specifically in the field of Human-Computer Interaction. The focus will be on developing methodologies to define interaction and visualization means and strategies that best support users.
In this role you would complement the expertise in the
Visualization Cluster, which focuses on developing new methods and techniques for exploring and analyzing large data sets. The focus is on data visualization and visual analytics. Additionally, you are transferring knowledge and experience to new generations of students through teaching, and guiding them in doing research and solving real-world problems.
The Visualization Cluster We study how to provide insight in large, heterogeneous data sets, such as combinations of multivariate data, high dimensional data, complex imaging data, network data, event data, and geospatial data, all often time varying. We investigate how to incorporate methods from statistics and AI to support human analysis, understanding, and decision-making. Visual analytics for AI can provide more effective and efficient model development, as well as more trust and confidence in AI-based decisions.
We develop novel approaches that go from fundamental research to application-oriented visual designs. We cooperate with specialists from various application domains, including health care, machine learning, bioinformatics, forensics, and fraud detection, both from academia and industry (e.g., Philips, ASML).
The Visualization Cluster has a strong track record in data visualization and visual analytics. It has generated award-winning contributions at major visualization conferences (IEEE VIS, IEEE InfoVis, IEEE VAST, EuroVis); start-up companies (MagnaView/ProcessGold, SynerScope, and AnalyzeData); and a number of techniques that are used on a large-scale worldwide. And it participates actively in the Eindhoven AI System Institute (
EAISI) and Data Science initiatives at TU/e.
Key objectives of the position are:
- Perform research in user-centered design, interaction and/or immersive visual analytics.
- Acquire research funding from (inter-)national funding bodies or industry.
- Develop and teach courses with different teaching styles like lecturing, or challenge based-learning.
- Supervise student projects at Bachelor, Master, PDEng, and PhD levels in Eindhoven.