[Jobinfo] Fwd: [Abteilung] Fwd: Open PhD Position in Visual Analytics for Engineering Smarter Systems, Linnaeus University, Växjö, Sweden
Sat Sep 30 18:33:33 CEST 2017
-------- Forwarded Message --------
Subject: [Abteilung] Fwd: Open PhD Position in Visual Analytics for
Engineering Smarter Systems, Linnaeus University, Växjö, Sweden
Date: Thu, 28 Sep 2017 13:37:48 +0200
From: Eduard Gröller <groeller@cg.tuwien.ac.at>
To: Mitarbeiter der Abteilung 186/2 <abteilung@cg.tuwien.ac.at>
CC: Max Höfferer <mhoefferer@cg.tuwien.ac.at>
FYI,
Edi
PS.: Max: Can you please put the job announcement on our black board?
Thanks.
-------- Forwarded Message --------
Subject: Open PhD Position in Visual Analytics for Engineering Smarter
Systems, Linnaeus University, Växjö, Sweden
Date: Wed, 27 Sep 2017 16:14:38 +0000
From: Andreas Kerren <andreas.kerren@lnu.se>
To: margit pohl <margit@igw.tuwien.ac.at>, Miksch Silvia
<miksch@ifs.tuwien.ac.at>, Eduard Gröller <groeller@cg.tuwien.ac.at>,
Torsten <torsten.moeller@univie.ac.at>
Dear colleagues in Vienna,
I'm still looking for a well qualified applicant for an open PhD
position in visual analytics. The background of a successful candidate
might be in visualization/HCI/VA but definitely also in the data
sciences (data mining, machine learning, etc.), please see the work
description below.
It would be great if you could distribute this advertisement to
potential candidates with very good knowledge in visual analytics and/or
data sciences. I also attached a PDF to this email that might be used
for printing out a bulletin.
Thanks a lot for your help and all the best,
Andreas
==== PHD STUDENT IN COMPUTER SCIENCE WITH SPECIALIZATION IN VISUAL
ANALYTICS ====
placed at Linnaeus University, Department of Computer Science, Faculty
of Technology – Växjö Campus, Sweden
Application Deadline: November 1, 2017
****Description****
The focus of this advertised PhD position and the corresponding research
project is on visual analytics for engineering smarter systems
(http://bit.ly/isovis-vaess). The research will be performed within the
Linnaeus University Center on Data Intensive Sciences and Applications,
DISA, funded by Linnaeus University for five years. Overall aim of this
DISA subproject is to better understand and engineer complex
cyber-physical systems. We will develop foundational visual analytics
principles, techniques and tools for analyzing data and models in those
systems. Thus, trust into the analysis results will be finally increased
by making the analysis methods and resulting empirical models
transparent for end users. In consequence, our users will be enabled to
better predict the behavior of cyber-physical systems and to reconstruct
the underlying models more efficiently when needed.
Duties consist mainly of the following:
• Graduate studies in the field of Visual Analytics, with a doctoral
degree as the goal. The PhD thesis should be completed and defended
within the official appointment duration of five years (4 years graduate
studies, 1 year departmental tasks).
• Research in the field Visual Analytics. The position is part of DISA
and its subproject Visual Analytics for Engineering Smarter Systems.
• Regularly present intermediate research results at international
conferences and workshops, and publish them in conference proceedings
and journals.
• Close collaboration with the other project members in an
interdisciplinary research environment as well as with domain experts.
• At most 20% of the working time will be dedicated to teaching and
other departmental tasks.
Note that a PhD position in Sweden is a salaried employment with the
right to social benefits.
****How to apply****
Interested candidates find detailed application information including
qualification requirements, assessment criteria, and contact details on
the following web page
http://bit.ly/isovis-phd
Applications have to be submitted online via the above given web page by
November 1, 2017, at the latest. The application must include a cover
letter (with a motivation why the candidate wants to pursue this PhD
project in visual analytics), a resume and the contact information of
two referees. In addition, a link to the candidate’s Master’s thesis
should be provided.
--
+-------------------------------------------------------
+ Prof. Dr. Andreas Kerren
+
+ Linnaeus University
+ Department of Computer Science
+ Vejdes Plats 7, Room B3019
+ SE-351 95 Växjö, Sweden
+
+ Phone: +46 470 767502
+ Fax: +46 470 84004
+ Email: andreas.kerren@lnu.se
+ WWW: http://homepage.lnu.se/staff/akemsi/
+ WWW: http://cs.lnu.se/isovis/
+-------------------------------------------------------
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