- From: Jens Lehmann <jens.lehmann@cs.uni-bonn.de>
- Date: Thu, 17 Dec 2015 10:37:01 +0100
- To: semantic-web@w3.org
There are several positions available as 1. Akademischer Rat (comparable to Assistant Professor), 2. PostDoc and 3. PhD Student at the University of Bonn. Please refer to the details for the three types of positions below. ======================================================================= 1. Akademischer Rat Position at the University of Bonn ======================================================================= We are looking for a senior researcher (Akademischer Rat on payment scale 100% A13 [1] comparable to Assistant Professor) for 3 years with a possible extension to 6 years. Requirements: * A completed PhD and Master degree in a relevant field (Computer Science or related). Research and Teaching Areas: The candidate should have experience in *one of* the following areas (it is not required to cover more than one area): * Big Data, Machine Learning, Data Mining * Semantic Technologies and Linked Data * Geospatial data modelling and analysis * Natural language processing, in particular Question Answering Depending on previous qualification, the candidate will be responsible for courses on Machine Learning, Data Science or Data Engineerung. We expect: * Keen interest in top level conference and journal publications * Responsibility for courses at the Computer Science Institute for 3 hours per week (4 SWS) * Experience in acquiring and running research and industry projects * Co-supervision of PhD, Master- and Bachelor thesis * Experience in software development and project management * Interest in transferring research results into practise * Fluent command of German and English language We offer: * You will work at one of the leading [2] German Universities and have the opportunity to build your own research team. The goal is to perform internationally leading research which can be applied in high impact use cases. * The candidate will be supported with personal resources to the extent possible as well as an integration into an international collaboration network. * You will enjoy a close collaboration with Fraunhofer IAIS [3] as a leading research institute for large scale machine learning and data mining. * The payment will be 100% A13 for 3 years with a possible extension for further 3 years. * You will get financial support to attend related conferences. To apply, please send a mail to Martina Doelp (martina@iai.uni-bonn.de) including a CV, two recommendation letters, a PhD certificate and a one page motivation letter including a short overview of previous research and acquisition activities. Applications are possible until all positions have been filled. Please do not send mails larger than 10MB. Please direct administrative questions to Martina Doelp (martina@iai.uni-bonn.de) and all other questions to Prof. Jens Lehmann (jens.lehmann@cs.uni-bonn.de). The University of Bonn is an equal opportunities employer. [1] example calculation: http://oeffentlicher-dienst.info/c/t/rechner/beamte/nw?id=beamte-nrw&g=A_13&s=0&f=3&z=100&zulage=&stj=2015b&stkl=1&r=0&zkf=2 [2] https://en.wikipedia.org/wiki/University_of_Bonn#Ranking [3] http://www.iais.fraunhofer.de ======================================================================= 2. PostDoc Positions at the University of Bonn ======================================================================= We are looking for Postdoctoral Researchers (German: Wissenschaftliche(r) Mitarbeiter(in)) at the Computer Science Institute at the University of Bonn. Requirements: * A completed PhD and Master degree in a relevant field (Computer Science or related). * Proficiency in spoken and written English. Proficiency in German is desired. * Experience in *one of* (not necessarily more) the following areas: * Big Data, Machine Learning, Data Mining * Semantic Technologies and Linked Data * Geospatial data modelling and analysis * Natural language processing, in particular Question Answering We expect: * Keen interest in top level conference and journal publications * Co-supervision of PhD, Master- and Bachelor thesis * Interest in acquiring and running research and industry projects * Experience in software development and project management * Interest in transferring research results into practise and commercialising them We offer: * You will work at one of the leading [1] German Universities and have the opportunity to build your own research team. The goal is to perform internationally leading research which can be applied in high impact use cases. * You will enjoy a close collaboration with Fraunhofer IAIS [2] as a leading research institute for large scale machine learning and data mining. * The payment will be between 50% and 100% TV-L 13 and the contract duration between 2 and 4 years depending on previous experience and involvement in projects. * You will get financial support to attend related conferences and the possibility to obtain a discounted public transport ticket. To apply, please send a mail to Martina Doelp (martina@iai.uni-bonn.de) including a CV, a master certificate, a motivation letter including a short overview of previous research activities, two letters of recommendation and a writing sample (e.g. prior publication or master thesis excerpt). Applications are possible until all positions have been filled. Please do not send mails larger than 10MB. Please direct administrative questions to Martina Doelp (martina@iai.uni-bonn.de) and all other questions to Prof. Jens Lehmann (jens.lehmann@cs.uni-bonn.de). The University of Bonn is an equal opportunities employer. [1] https://en.wikipedia.org/wiki/University_of_Bonn#Ranking [2] http://www.iais.fraunhofer.de ======================================================================= 3. Research Associate / PhD Student Positions at the University of Bonn ======================================================================= We are looking for a Research Associate (Wissenschaftliche(r) Mitarbeiter(in)) at the Computer Science Institute at the University of Bonn. Requirements: * A Master degree in a relevant field (Computer Science or related). * Proficiency in spoken and written English. Proficiency in German is desired. * Experience in one of the following areas: * Big Data, Machine Learning, Data Mining * Semantic Technologies and Linked Data * Geospatial data modelling and analysis * Natural language processing, in particular Question Answering We expect: * Keen interest in top level conference and journal publications * Co-supervision of Master- and Bachelor thesis * Experience in software development and project management * Interest in transferring research results into practise and commercialising them We offer: * You will be able to efficiently work towards your doctorate in a group of excellent scientists. * You will work at one of the leading [1] German Universities. * You will enjoy a close collaboration with Fraunhofer IAIS [2] as a leading research institute for large scale machine learning and data mining. * The payment will be between 50% and 100% TV-L 13 and the contract duration between 2 and 4 years depending on previous experience and involvement in projects. * You will get financial support to attend related conferences and the possibility to obtain a discounted public transport ticket. To apply, please send a mail to Martina Doelp (martina@iai.uni-bonn.de) including a CV, a master certificate, a motivation letter including a short overview of previous research activities, two letters of recommendation and a writing sample (e.g. prior publication or master thesis excerpt). Applications are possible until all positions have been filled. Please do not send mails larger than 10MB. Please direct administrative questions to Martina Doelp (martina@iai.uni-bonn.de) and all other questions to Prof. Jens Lehmann (jens.lehmann@cs.uni-bonn.de). The University of Bonn is an equal opportunities employer. [1] https://en.wikipedia.org/wiki/University_of_Bonn#Ranking [2] http://www.iais.fraunhofer.de -- Prof. Dr. Jens Lehmann http://jens-lehmann.org Computer Science Institute Knowledge Discovery Department University of Bonn Fraunhofer IAIS http://www.cs.uni-bonn.de http://www.iais.fraunhofer.de
Received on Thursday, 17 December 2015 13:19:54 UTC