[Jobinfo] Fwd: [Ieee_vis_open_positions] Open Position at University of Stuttgart: Independent Junior Research Group Leader in Computer Science for the Cluster of Excellence IntCDC (f/m/d)
Tue Feb 4 17:25:10 CET 2020
-------- Forwarded Message --------
Subject: [Ieee_vis_open_positions] Open Position at University of
Stuttgart: Independent Junior Research Group Leader in Computer Science
for the Cluster of Excellence IntCDC (f/m/d)
Date: Mon, 3 Feb 2020 10:28:59 +0000
From: Daniel Weiskopf via ieee_vis_open_positions
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
Reply-To: Daniel Weiskopf <Daniel.Weiskopf@visus.uni-stuttgart.de>
To: ieee_vis_open_positions@listserv.uni-tuebingen.de
<ieee_vis_open_positions@listserv.uni-tuebingen.de>
* Application deadline: February 7, 2020 *
The Cluster of Excellence EXC 2120 on "Integrative Computational Design
and Construction for Architecture" (IntCDC) at the University of
Stuttgart invites applications for the position of a
*** Independent Junior Research Group Leader in Computer Science for the
Cluster of Excellence IntCDC (f/m/d) ***
EXC 2120 was newly established in 2019, with an initial funding period
of seven years. A Cluster of Excellence is the most significant and
substantial grant funded by the German Research Foundation (DFG). For
the first time, a Cluster of Excellence has been awarded to the field of
architecture, bringing together a world-leading interdisciplinary team
of researchers from seven faculties of the University of Stuttgart and
the Max Planck Institute for Intelligent Systems.
To complement our research activities, we are seeking a highly motivated
young scientist with an outstanding early-career track record and
substantial international research experience in fields related to the
aims of the cluster. A successful candidate should have a PhD degree in
computer science or a similar area, and profound experience in one or
more of the following or related topics:
* Human-computer interaction or human-robot interaction, in particular,
for digital fabrication
* Augmented reality and mixed reality, especially, in the context of
engineering domains
* Visualization and visual analytics, machine learning for visual data
science
* Computer vision or robot perception
* Computational approaches for architecture and the building industry
A successful candidate will combine above computer science research with
the application-oriented research on methods that support digitization
in architecture and the building industry.
This research-focused position will lead a new Independent Junior
Research Group within Research Unit IV (Computer Science and Robotics)
of the Cluster of Excellence IntCDC. The establishment of a competitive
research program is expected. The Research Group is expected to
collaborate actively with the IntCDC partners at the University of
Stuttgart and the Max Planck Institute for Intelligent Systems.
The Research Group is funded for up to three years, including the Group
Leader position (TV-L E14), funds for PhD projects, as well as startup
and annual budgets. The Research Group will be embedded into the
Visualization Research Center (VISUS) at the University of Stuttgart and
benefit from the support structures of VISUS and IntCDC, including
access to several specific labs.
* More information on the Cluster of Excellence IntCDC:
https://www.intcdc.uni-stuttgart.de/
* More information on VISUS: https://www.visus.uni-stuttgart.de/
Please send your application (cover and motivation letter, academic CV,
list of publications, description of past and future research activities
(approximately three pages), degree certificates and transcripts of
records from Bachelor/Master/PhD degrees) in a single PDF file (up to 10
MB) to jobs@visus.uni-stuttgart.de. Three reference letters should be
submitted by the referees directly to jobs@visus.uni-stuttgart.de. The
closing date for applications is February 7, 2020. Inquiries should be
sent to daniel.weiskopf@visus.uni-stuttgart.de.
The University of Stuttgart is an equal opportunity employer.
Applications by women are strongly encouraged. Severely challenged
persons will be given preference in case of equal qualifications.
Information on how the University protects personal data in accordance
with Article 13 of the GDPR can be found via the following link:
https://www.uni-stuttgart.de/en/privacy-notice/job-application/.
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