About Data Visualisation
Data visualization plays an important role in data exploration – both to enable deep insight in that data, and to generate new hypotheses. These visualizations can be aimed at a multitude of endpoints, ranging from (small or large) 2D displays, to autostereoscopic displays, light field displays and – as the holy grail – holographic representations, and can be static or allow for rich user interaction (brushing, filtering, etc).
With increasing size and complexity of datasets, the challenge of computational and perceptual scalability needs to be addressed, both for static representations and for interactive ones. Imec research groups at UAntwerpen, KU Leuven and VUB alleviate this issue by distributed storage and computing as well as compression and visualization of the multimodal source data.
How can we help you?
Some examples of what we have done
At imec bright people build a bright future.
You could be one of these builders. Whether you are an engineer or an operator, a consultant or PhD student, we need a versatile group of people to help us create positive change.Join the forward thinkers
Wearable Deep Learning Researcher
The candidate will mainly investigate how deep learning is leveraged for the design of sensor data processing algorithms that need to be robust for alternating product configurations and difference amongst users.
CEO for an imec Advanced Optical Sensors start-up
Driving the strategy, business and product roadmap.
Process Step Engineer CMP (Shifts)
Chemistry or Material Science professional to participate in a range of Chemical Mechanical Polishing development projects in our lab and clean room.
Postdoctoral Researcher on Design and Implementation of Phoxonic Micro/Nanosystems
Phoxonics: wave-based sensing and actuation.More job opportunities