PhD Position in Visual Analytics applied to Multilayer Networks

The Visual Data Analysis research group at KU Leuven (University of Leuven) is part of the department of Biosystems at the Faculty of Bioscience Engineering. The group focusses on complex data exploration in the domain of biological and agricultural sciences, through the use of visual analytics and topological data analysis. The group is currently looking for a dynamic and highly motivated PhD student.

The ideal candidate:

• has a Master's degree in Computer Science, Bioscience Engineering or similar, with distinction (required)

• has a solid understanding of network analysis / graph theory and a strong foundation in general data visualisation principles and techniques

• has experience in topological data analysis (TDA)

• has good programming and data analysis skills (incl using Python and if possible Javascript)

• can work independently as well as part of a collaborative cross-domain research team

• is proficient in oral and written English, possess excellent communication and multi-tasking skills, is team-oriented, proactive and result-driven.

Interested candidates should submit the following:

• curriculum vitae

• digital copy of the diplomas, including a list of courses followed and grades

• contact information of 2 or 3 referees

• motivation letter, which specifies why they apply to this position, and clearly illustrate possible past experience in the area.

More information follow the below link:

www.kuleuven.be

Develop computational and visualisation methods to explore complex multi-layer networks