## Apologies if you
receive multiple copies of this message ##
---------------------------------------------------------------
** FUNDED PHD POSITION
AT TU VIENNA **
---------------------------------------------------------------
Funded PhD position
within the ViSual ANalytics for Event-based Diffusion on
Networks (SANE) project @ TU Wien f/m/d (30-40h)
We are hiring a talented PhD candidate in
an international project on the visual analytics of complex
diffusion processes over temporal networks. You will work in the
context of SANE, a project held by TU Vienna (Austria), the
University of Cologne (Germany) and the University of Newcastle
(United Kingdom). This project arrangement gives you unique
career opportunities, including student exchanges abroad,
regular meetings with researchers from the other institutions
participating to the project.
We are looking for a PhD candidate to work
from the TU Wien, at the Institute of Visual Computing and
Human-Centered Technology, in the Research Unit of Visual
Analytics. We offer a position as project assistant (prae-doc)
limited to 3 years for 30 hours/week (that can beextended to
40). Gross annual (monthly) salary of Euro 43,650 (2,464.80)
according to FWF regulations.
In this position, you will begin your
doctoral journey studying problems related to the topic of
event-based (or “temporal”) network
visualization. In Event-based networks, the time coordinates
where the nodes and the edges are “active” are an explicit
element of the representation, differently from traditional
timeslicing where a time structure is imposed over the input
data. You will apply these concepts to the problem of
Information Diffusion. Information Diffusion studies how
“information” flows and spreads through an underlying network,
and has been used to model, simulate, and predict natural and
human-made phenomena in countless different domains (e.g.,
pathogen spread, malware outbreak in computer networks, viral
marketing, etc.). However, little research has been done on this
problem within the context of visualization.
Wanna know more? Check the project
description and complete job posting at https://www.cvast.tuwien.ac.at/projects/sane
---------------------------------------------------------------
Deadline for applications: 29 January 2024
Expected start: March
2024
---------------------------------------------------------------
Questions? You can reach me at Alessio.arleo@tuwien.ac.at