[Jobinfo] Fwd: [Ieee_vis_open_positions] 3-year PhD position at Aarhus University on Progressive Visual Analytics

-------- Forwarded Message --------
Subject: 	[Ieee_vis_open_positions] 3-year PhD position at Aarhus 
University on Progressive Visual Analytics
Date: 	Thu, 30 Aug 2018 07:12:46 +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 February 2018 to prospective candidates.

*Focused-PVA: Progressive Visual Analytics for Focus+Context Techniques*

Progressive Visual Analytics (PVA) is currently revolutionizing big data 
analysis. Instead of crunching a whole dataset at once, PVA breaks a 
dataset down into smaller chunks and processes them in order of 
importance. This way, after each chunk, we can already output an 
in-progress result on which to base early analytical decisions long 
before the dataset is processed in its entirety. You probably know this 
concept from slowly transmitted images or maps online that are already 
shown while still being refined. PVA is like that, but for long-running 
data analysis and visualization operations.

This PhD project sets out to apply PVA to visual analysis techniques 
that follow the focus+context principle – i.e., by interacting with a 
visualization, users specify a point or region of interest (the focus) 
and its periphery of lesser interest (the context). Following the 
focus+context principle yields a natural, user-driven starting point for 
data partitioning and ordering strategies for PVA that is expected to 
outperform sampling-based methods, which partition the data without 
taking the user into account. It will be your task to explore this new 
combination of “Focused-PVA” to merge the swiftness and responsiveness 
of PVA with the interactive, user-driven nature of the focus+context 
principle.

Research questions to pursue in this project are:

·What can we imply from the focus/context information in terms of 
suitable data partitioning schemes and processing strategies for PVA? 
How does the kind of visualization in which the focus is specified 
influence these strategies?

·In which way can we leverage Focused-PVA to instantiate, for example, 
Progressive Lenses, Progressive Portals, or Progressive Probes on top of 
different visualizations?

·How to generalize the above ideas from a binary distinction between 
focus and context regions to a continuous distance-based concept of 
importance? How to extend this concept to two or more focal regions?

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 concept and system that will center 
on progressive visualizations using 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/november-2018/focused-pva-progressive-visual-analytics-for-focus-context-techniques/

Application deadline is 1 November 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>

web: http://hjschulz.net

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