Background
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.

Job content
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.

Profile

• You obtained a strong MSc in computer sciences, visual analytics, design, or a domain related to human-computer interaction (or equivalent)
• You have expertise in visual analytics, visual design or data visualisation (e.g. using D3).
• You are familiar with clustering and dimensionality reduction techniques.
• You have good programming skills (preferably python and/or javascript), including algorithm scalability.
• You are well-versed in algorithmic thinking.
• You are able to work in collaboration with domain experts as well as work independently.
• You are able to report clearly and regularly.
• You are fluent in written and oral communication in English.

Offer
You will be appointed and paid as PhD student.
2x2 years after positive evaluation.

Selection procedure
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

Further information
Prof. dr. ir. Jan AERTS, +32-11-268197, jan.aerts@uhasselt.be

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