The UHasselt Data Science Institute in Belgium (www.uhasselt.be/dsi) fosters collaboration among data science experts across disciplines. As part of this new institute, the Visual Data Analysis Lab is interested in applying interactive data visualisation to support data scientists in gaining insight in their complex data.
To further extend the expertise in contextualisation of data analysis, the Visual Data Analysis Lab will be hiring a doctoral student in the field of topological data analysis where we convert high-dimensional datasets into networks in order to extract meaningful patterns. More specifically, this involves research in the definition of feature vectors in multiple domains, graph distance metrics, and generation and qualitative analysis and comparison of networks. Application domains include life sciences (epidemiology, genomics, patient stratification, …), archaeology and others.
You will be appointed and paid as PhD student.
2x2 years after positive evaluation.
You can only apply online up to and including 31 January 2020.
The selection procedure consists of a preselection based on application file and an interview.
You add the following information in a PDF-document: curriculum vitae; motivation letter; examples of previous work; list of 3 people (including contact details) who can act as references
|Titel||PhD student Network analysis and visualisation|
|Job location||Martelarenlaan 42, 3500 Hasselt|
|Publicerad||november 15, 2019|
|Sista ansökningsdatum||januari 31, 2020|
|Ämnen||Algoritmer,   Datorkommunikation (nätverk),   Databehandling inom matematik, naturvetenskap, teknik och medicin,   Datautvinning,   Datastrukturer,   Databaser,   Människa-datorinteraktion,   Big data  |