About Data Extraction
A major challenge of current (big) data systems lies in the provision of high-quality information suited for downstream analysis purposes, given that the data at hand are often irrelevant, redundant, noisy, inconsistent, incomplete or unstructured.
Imec research groups at UGent and KU Leuven are devising innovative cleansing, completion and feature extraction approaches to extract reliable information from raw 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 thinkersJob opportunities
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.
Operatoren
Als procesoperator in onze pilootproductielijn sta je zelfstandig in voor de uitvoering en kwaliteitsbewaking van een of meerdere productiestappen, en dit met vooruitstrevende computergestuurde toestellen.
More job opportunities