[Jobinfo] Fwd: [Ieee_vis_open_positions] 3-year PhD position @ Aarhus University on Map-like Visualization

-------- Forwarded Message --------
Subject: 	[Ieee_vis_open_positions] 3-year PhD position @ Aarhus 
University on Map-like Visualization
Date: 	Thu, 14 Jun 2018 10:30:05 +0000
From: 	Hans-Jörg Schulz via ieee_vis_open_positions 
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Reply-To: 	Hans-Jörg Schulz <hjschulz@cs.au.dk>
To: 	ieee_vis_open_positions@listserv.uni-tuebingen.de 
<ieee_vis_open_positions@listserv.uni-tuebingen.de>



Please distribute this call for a 3-year, fully funded PhD position at 
Aarhus University, Denmark starting November 2018 to prospective candidates.

== DataMaps: Map-like Visualization for Non-spatial Data ==

Are you ready to step onto uncharted territory and to map the 
unmappable? Maps are powerful tools for viewing, navigating, and 
communicating spatial information. By mapping geospace onto screen 
space, maps provide a spatial frame of reference using a commonly 
understood set of visual elements. This concept comes so natural and is 
so compelling that we even apply it to information that does not 
necessarily have a geospatial reference – for example, Site Maps for 
website structures or Mind Maps for thoughts and ideas.

This PhD project sets out to bring map-like space-filling visual 
representations to non-spatial multi-variate data in general, such as 
biomedical data or financial data. For data like these, different ways 
of turning them into a map are possible – leading to different meanings 
of a data item’s position, of the distance between two data items, and 
of the area spanned by multiple data items. It will be your task to 
research such meaningful “DataMaps” that bring added value to the visual 
analysis of multi-variate data.

Research questions to pursue in this project are:

·What characteristics and elements make a map a map? Which of them must 
be present to recognize and use a visual display as a map-like graphic? 
How to employ them to turn a “mere” chart or diagram into a map?

·What could a generic map-like visualization for numerical multi-variate 
data look like? Which modes of interaction should it support? How can it 
be extended to cope with time-varying, textual, or network data?

·Which stages of a data analysis benefit from map-like visualizations 
and how? How does a map for providing an overview of the raw data differ 
from a map for showing the outcome of a computational operation, like a 
clustering? And why?

Work on this PhD topic will be conducted in close collaboration with the 
DABAI project (https://dabai.dk), which provides the datasets and 
analysis scenarios on which the developed visualizations are tested. In 
addition, this research topic is embedded in a larger ongoing research 
effort to develop a visual analytics method and system that will center 
on the map-like visualizations. These will provide the basis for 
interactive manipulation and augmentation, for example through smart 
lenses or locally inserted “in situ visualizations”.

For more information please refer to 
http://talent.au.dk/phd/scienceandtechnology/opencalls/calls-on-specific-projects/august-2018/datamaps-map-like-visualization-for-non-spatial-data/

Application deadline is 1 August 2018 at 11.59 PM MET.

---

Assoc. Prof. Hans-Jörg Schulz

Department of Computer Science

Aarhus University

Åbogade 34

8200 Aarhus N, Denmark

eMail: hjschulz@cs.au.dk <mailto:hjschulz@cs.au.dk>

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