The Department of Computer Science of K.U.Leuven has an open position for a PhD student in the context of the interdisciplinary project “Elaboration of the CellPhInDER platform”. The goal of this project is to develop the next-generation screening and analysis tool for cell biologists by purposefully elaborating and combining expertise in cell biology, micro- and nanofluidics, nanobiotechnology, time-lapse microscopy, image analysis and data mining.
Within the project, we are looking for a PhD student with a strong background in computer science, and particularly knowledgeable in (most of) the areas of machine learning, data mining, image recognition, information extraction from images and video, and databases. The student will contribute to the CellPhInDER platform by performing research on, and creating software for: automatic extraction of features from video images, storage of such features in a form suitable for analysis with data mining methods, and the creation of a user interface that allows for query-oriented data mining.
The ideal candidate will possess a master degree in computer science, AI, or a closely related discipline, a strong background in computer science and mathematics, a scientific attitude and the ability to reason through problems, excellent programming skills, the ability to communicate written and orally in English in a clear and precise manner, a pro-active and independent attitude as well as the ability to function well in a team environment and a strong motivation.
Interested candidates should apply before September 12 to receive full
consideration, by following the instructions at https://dtai.cs.kuleuven.be/ml/170-jobs-information-for-prospective-ml-phd-students, mentioning specifically the CellPhInDER project in their application.