[Jobinfo] Fwd: [Abteilung] Fwd: PostDoc fellowship in Computer Science with specialization in Information Visualization and Visual Analytics, Linnaeus University, Sweden
Thu Mar 3 15:26:45 CET 2016
-------- Forwarded Message --------
Subject: [Abteilung] Fwd: PostDoc fellowship in Computer Science with
specialization in Information Visualization and Visual Analytics,
Linnaeus University, Sweden
Date: Thu, 3 Mar 2016 15:10:25 +0100
From: Eduard Gröller <groeller@cg.tuwien.ac.at>
To: Mitarbeiter der Abteilung 186/2 <abteilung@cg.tuwien.ac.at>
CC: Silvia Miksch <miksch@ifs.tuwien.ac.at>, Tammy Ringhofer
<ringhofer@cg.tuwien.ac.at>
FYI,
Edi
PS.: Tammy kannst du bitte die Stellenausschreibung bei uns aushängen?
Danke.
-------- Forwarded Message --------
Subject: PostDoc fellowship in Computer Science with specialization in
Information Visualization and Visual Analytics, Linnaeus University, Sweden
Date: Wed, 2 Mar 2016 18:31:26 +0000
From: Andreas Kerren <andreas.kerren@lnu.se>
To: Eduard Gröller <groeller@cg.tuwien.ac.at>
Hallo Edi,
ich wäre Dir sehr dankbar, wenn Du dieses Stellenangebot für einen
PostDoc an mögliche Kandidaten weiterleiten könntest. Deadline ist Ende
März.
Vielen Dank im Voraus!
Andreas
PostDoc fellowship in Computer Science with specialization in
Information Visualization and Visual Analytics
-------------------------------------------------------------------------------------------------------------------------------------------------
placed at Linnaeus University, Department of Computer Science, Faculty
of Technology, Växjö, Sweden (lnu.se)
Job status: full time, no longer than a maximum of two years
Location: Växjö, Sweden
Subject Area: Computer Science with specialization in Information
Visualization and Visual Analytics
Reference number: 2016/727-2.2.1
Linnaeus University is a modern, international university with Småland
as its base and the world as its stage. We combine curiosity, creativity
and utility with an entrepreneurial thinking in education and research.
Seeing possibilities and believing in the future is part of what we do
every day. We now strengthen our prominent research by recruiting 21
postdoctoral fellows.
The Department of Computer Science carries out research in three main
subjects: Program Analysis and Information Quality, Information
Visualization and Visual Analytics, and Software Architecture and
Self-Adaptive Systems. Currently, 32 staff members work at the
Department, running various national and European projects that focus on
both fundamental and applied research. The department has a strong
connection with the environment and in this capacity leads the
Information Engineering Center that provides an IT cluster and meeting
place for research, industry and public actors.
The advertised position will be placed in the ISOVIS group
(http://cs.lnu.se/isovis/) led by Professor Andreas Kerren. The research
group mainly focuses on the explorative analysis and visualization of
typically large and complex information spaces, for example in
biochemistry, humanities, or software engineering. Our vision is to
attack the big data challenge by a combination of human-centered data
analysis and interactive visualization for decision making. These
research topics are highly relevant for academia and economy as both
science and industry make increasing use of data-intensive technologies.
*** Duties ***
- Research within the fields of information visualization and visual
analytics.
- Regularly present intermediate/final research results at international
conferences and workshops, and publish them in conference proceedings
and journals.
- Close collaboration with the other members in our interdisciplinary
research environment as well as domain experts.
- At most 20% time can be dedicated to teaching and other departmental
tasks.
*** Qualification requirements ***
The postdoc position requires a PhD degree in Computer Science, or a
foreign degree equivalent to a PhD, and who has completed the degree no
more than three years before the application deadline.
Eligibility for this position also requires that the doctoral thesis has
a focus on information visualization, visual analytics, or closely
related fields.
*** Assessment criteria ***
Excellent knowledge in the focused research areas of information
visualization and visual analytics is a strong advantage. Good
programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid
training in mathematics and computer graphics are highly preferred.
Documented expertise and working experience within at least one of the
following research and educational areas is a great advantage:
- (Multivariate/Temporal) network visualization
- Collaborative visual analysis and interaction
- Visual analytics of Big Data
- Multidimensional visualization techniques in combination with machine
learning and/or data mining techniques
- Visual text analytics
- Experiences in specific application domains and their visualization
needs, such as in systems biology, social sciences, etc.
Excellent written and oral communication skills in English are required.
Teamwork experiences should also be documented in the application. Since
the subject is male-dominated, we encourage female applicants.
Applicants will be selected through a qualitative overall assessment of
the competences and skills, assessed most suitable to conduct research
and to contribute to a successful development of the research environment.
*** Further information and contact ***
Professor Andreas Kerren, phone number: +46 470 767502, email:
andreas.kerren@lnu.se, or web: http://homepage.lnu.se/staff/akemsi/ and
http://cs.lnu.se/isovis/.
The application (in English) must be registered online no later than
March 31, 2016, via the following link:
http://lnu.se/about-lnu/jobs-and-vacancies?l=en (reference number:
2016/727-2.2.1)
The application must include a cover letter, CV, degree certificates, a
list of relevant publications (incl. theses, reports, etc.), and the
contact information of three referees. In addition, a link to the
candidate’s PhD thesis should be provided.
Linnaeus University has the ambition to utilize the qualities that an
even gender distribution and diversity brings to the organization.
--
+-------------------------------------------------------
+ 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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