:: Doctoral student in network analysis and visualisation ::

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 our expertise in contextualisation of data analysis, the 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

  • A strong MSc degree in computer science or design, or a field related to human-computer interaction
  • Some experience in visual design or data visualisation (e.g. using D3)
  • Good programming skills (preferably python and/or javascript) and algorithmic thinking
  • Fluent in spoken and written English

Appointment

The successful candidate will be appointed for a period of 2+2 years at UHasselt.

How to apply

For more information regarding this function and to apply, please go to https://www.uhasselt.be/vacancies_detail?taal=04&vacid=1836.

:: Doctoral student visual analytics and topological data analysis::

Recent advances in deep learning are leading to applications ranging from automatic text translation and machine reading, to style transfer (e.g. between paintings, but also applied in medical imaging) and self-driving cars. A significant drawback of deep learning networks, however, is that they act as black boxes with very limited transparency and therefore the user needs to have blind trust in whatever answer is returned to them.

The Visual Data Analysis Lab - embedded in the UHasselt Data Science Institute in Belgium (www.uhasselt.be/dsi) - is interested in the application of interactive data visualisation to support researchers in the pursuit of deep insights in complex data. We employ topological data analysis (see our work in review at https://arxiv.org/abs/1907.05783) and interactive data visualisation to identify hidden patterns in highly dimensional data in domains ranging from life sciences to archaeology and bibliometrics, and aim to use this approach towards advancing the field of explainable AI. Therefore, we seek to employ an enthusiastic doctoral researcher, who will focus on interactive data visualisation and development of new algorithms for creating and comparing the topological graphs in the context of deep learning, as well as perform data analysis, write research papers, and present his/her work at national and international conferences.

Profile

  • You have obtained a Master in Informatics or Visual Analytics (or equivalent)
  • You have a clear affinity with visual analytics and/or data visualisation, ideally with expertise in D3.
  • You are familiar with techniques for deep learning, data clustering and dimensionality reduction
  • You have good programming skills (preferably python and/or javascript), including scalability of algorithms
  • You are good in algorithmic thinking.
  • You are able to work in collaboration with domain experts as well as work independenlty
  • You are good in clear and regular reporting.
  • You have high proficiency in English, both written and oral.

Appointment

The successful candidate will be appointed for a period of 2+2 years at UHasselt.

How to apply

For more information regarding this function and to apply, please go to https://www.uhasselt.be/vacancies_detail?taal=04&vacid=1864.