You will study novel data mining and machine learning approaches tailored towards the field of small molecule mass-spectrometry. This chemical field plays a central role in many top-notch pharmaceutical and biotechnological applications. Its enormous data complexity requires novel, robust data processing, management and visualisation techniques. You collaborate with academic researchers in different disciplines (from computational sciences to life sciences) within the consortium (biomina- the biomedical informatics network Antwerpen, UAntwerpen) and with the industrial partners of the project.

This project will be conducted within the biodata mining team, a rapidly growing, multi-disciplinary unit within the Adrem Data Lab / biomina of the department of Mathematics and Computer Science (University of Antwerp, Belgium). The Adrem Data Lab is an internationally renowned research group known for its contributions to the theory as well as practical applications of data sciences. In this lab prof. Kris Laukens leads a biodata mining research team (circa 20 people) that studies novel bio-informatics and artificial intelligence techniques to interpret complex biomolecular and biomedical data. The team performs both fundamental algorithmic research and applies these novel techniques to solve a diverse array of bioanalytical challenges and advance bio- and medical research in various areas.