From: Sören Auer <firstname.lastname@example.org>
Date: Thu, Feb 9, 2012 at 5:31 AM
Subject: [Dbworld] Semantic Web PhD & PostDoc positions available in Bern, Switzerland
2 PHD and 1 POSTDOC POSITION at
Business School of Bern University of Applied Sciences
For collaborative international research projects in the area of
intelligent information management, the Business School of Bern
University of Applied Sciences (BUAS) in cooperation with research group
Agile Knowledge Engineering and Semantic Web (AKSW) at Universität
Leipzig opens positions for:
2 PhD and 1 PostDoc Position in Knowledge Engineering / Semantic Web
The positions are primarily based at BUAS (Switzerland) and funded by
European FP7 projects and possibly Swiss national research grants. A
close collaboration and ca. 4 research visits per year at AKSW research
group at Universität Leipzig (Germany) are envisaged for the PhD
students to complete their PhD program.
* The stimulating environment of two research institutes in the fields
of Business Informatics, Semantic Web, Ontology Engineering, Linked Data
Web, Knowledge Management, Data integration and Service-Oriented
* Long-term collaboration with well-known academic institutions and
major companies around the world;
* A multicultural working place with state-of-the-art infrastructure, a
competitive salary and resources including funding for attending
international conferences, PhD symposia, summer schools, etc.;
* competitively funded PhD positions close to the rate of the Swiss
National Science Foundation (currently ca. CHF 41’000);
* competitively paid Postdoc positions commensurate with the pay scale
of BUAS (starting at CHF 80’000 depending on experience).
* A strong background in Computer Science or related disciplines;
* Excellent software engineering skills with demonstrated proficiency in
modern software development;
* The willingness to work in an international environment and combine
formal scientific work with application-oriented research in order to
solve real-world problems;
* Research interest and expertise in at least one of the following:
knowledge representation and ontology languages, natural language
processing, data management and integration, Semantic Web standards,
business aspects of semantic systems;
* Prospective PhD students should fulfill the doctorate entrance
requirements of Universität Leipzig (i.e. masters degree or equivalent)
* Proficiency in English and the willingness to learn one of the
official Swiss languages (e.g. German, French, Italian).
Applicants should include a cover letter, curriculum vitae incl. list of
publications, a research statement and the names and addresses of two
referees, via email (PDF only) to email@example.com (Dr. Michael Kaschewsky,
Head of Research Group, Bern University of Applied Sciences, Business
School). Positions are open until filled, but candidates are advised to
apply by 1 March 2012. In addition, qualified Postdoctoral researchers
have the opportunity to get funding for their position and additionally
for a doctoral position that they supervise independently but must apply
by 15 February 2012 – if you are interested please contact us asap.
Bern University of Applied Sciences (BUAS) is the regional leader in
applied science and research with seven departments across three cities.
Research at the Business School in Bern is nationally leading and
internationally renowned in the field of e-government and applied
informatics in the public sector.
AKSW research group at the Universität Leipzig is establishing
theoretical results and scalable implementations for the Semantic Data
Web (e.g. DBpedia, OntoWiki, DL-Learner). Particular emphasis is given
to areas such as ontology creation and manipulation, knowledge
extraction, ontology learning and information & data integration on the
Semantic Data Web.
Additional information regarding our research and projects as well as
further information concerning these positions is available at
http://bfh.ch and http://aksw.org.
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld
72 kali dilihat, 1 kali dilihat hari ini