PhD Position "Text Mining" @ Göttingen University, Germany
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Piroska Lendvai
Jun 26, 2017, 4:13:56 PM6/26/17
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PhD Position "Text Mining” @ Göttingen University
Application deadline: July 4th 2017
The Institute of Computer Science/Göttingen Centre for Digital Humanities (GCDH) at the Georg-August-University Göttingen and the Göttingen State and University Library (SUB) invite applications for a PhD candidate in the area of natural language processing. The position is open with immediate effect for 3 full years (36 months) part-time (75% full-time equivalent, currently 29.85 hours/week). An extension to full-time (100%, currently 39.80 hours/week) is possible and requires a willingness to build a text and data mining corpus for the SUB. Renumeration is according to the German TV-L 13 pay-scale.
The PhD student will be embedded in an interdisciplinary team at the GCDH consisting of computational linguists, computer scientists and digital humanists. He or she will work in the project "Data Narratives", which is concerned with developing innovative technology for analysing and mining the large collections of scientific literature held by the SUB. The project is supervised jointly by Prof. Caroline Sporleder and Prof. Wolfram Horstmann. The candidate is strongly encouraged to work towards a PhD thesis in the project context.
Tasks:
--------
- development, implementation and evaluation of algorithms for analysing natural language texts, in particular text mining of and information extraction from scientific publications
- dissemination of research results at conferences and in scientific publications
Requirements:
-------------------
- excellent postgraduate degree (Master or equivalent) in a relevant area, especially Computational Linguistics, Computer Sciences, or Linguistics
- sound knowledge of natural language processing algorithms
- excellent knowledge of at least one programming language (e.g. Java or Python) and experience with implementing NLP algorithms
- excellent command of English
- independence, ability to learn quickly, and excellent communication skills
- willingless to work in an interdisciplinary context
Desired:
-----------
- experience with statistical models and machine learning methods
- interest in philosophy of science or history of science
The position is suitable for part-time work.
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life.
Please submit your application with the usual documents by July 4th, 2017, via the online application portal:
https://lotus2.gwdg.de/uni/uzdv/perso/knr_100221.nsf
Alternatively, you may email your application as a single pdf document to Prof. Dr. Caroline Sporleder (cspo...@cs.uni-goettingen.de).
If you have any questions, please do not hesitate to contact Caroline Sporleder at the above email address.
About Göttingen and Göttingen University:
=============================
Göttingen University is a traditional research university in the centre of Germany. Together with its Göttingen Campus partners, including the State and University Library Lower Saxony, the Göttingen Academy of Sciences and Humanities, the Herzog August Library Wolfenbüttel and several Max-Planck Institutes, it is also one of the largest Digital Humanities centres in Germany and offers a research-oriented and strongly international working environment.
Göttingen is a traditional university city with a charming historical centre and good public transport connections to major cities such as Berlin, Frankfurt or Hamburg. It is also one of the greenest cities in Germany, with many parks and riverside walks, and easy access to the nearby Harz mountains.
Links:
====
Official Job Ad (in German):
http://www.uni-goettingen.de/de/305402.html?cid=100221
Application Portal:
https://lotus2.gwdg.de/uni/uzdv/perso/knr_100221.nsf
Göttingen University:
http://www.uni-goettingen.de/
GCDH:
http://www.gcdh.de/en/
____________________________
Application deadline: July 4th 2017
The Institute of Computer Science/Göttingen Centre for Digital Humanities (GCDH) at the Georg-August-University Göttingen and the Göttingen State and University Library (SUB) invite applications for a PhD candidate in the area of natural language processing. The position is open with immediate effect for 3 full years (36 months) part-time (75% full-time equivalent, currently 29.85 hours/week). An extension to full-time (100%, currently 39.80 hours/week) is possible and requires a willingness to build a text and data mining corpus for the SUB. Renumeration is according to the German TV-L 13 pay-scale.
The PhD student will be embedded in an interdisciplinary team at the GCDH consisting of computational linguists, computer scientists and digital humanists. He or she will work in the project "Data Narratives", which is concerned with developing innovative technology for analysing and mining the large collections of scientific literature held by the SUB. The project is supervised jointly by Prof. Caroline Sporleder and Prof. Wolfram Horstmann. The candidate is strongly encouraged to work towards a PhD thesis in the project context.
Tasks:
--------
- development, implementation and evaluation of algorithms for analysing natural language texts, in particular text mining of and information extraction from scientific publications
- dissemination of research results at conferences and in scientific publications
Requirements:
-------------------
- excellent postgraduate degree (Master or equivalent) in a relevant area, especially Computational Linguistics, Computer Sciences, or Linguistics
- sound knowledge of natural language processing algorithms
- excellent knowledge of at least one programming language (e.g. Java or Python) and experience with implementing NLP algorithms
- excellent command of English
- independence, ability to learn quickly, and excellent communication skills
- willingless to work in an interdisciplinary context
Desired:
-----------
- experience with statistical models and machine learning methods
- interest in philosophy of science or history of science
The position is suitable for part-time work.
The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life.
Please submit your application with the usual documents by July 4th, 2017, via the online application portal:
https://lotus2.gwdg.de/uni/uzdv/perso/knr_100221.nsf
Alternatively, you may email your application as a single pdf document to Prof. Dr. Caroline Sporleder (cspo...@cs.uni-goettingen.de).
If you have any questions, please do not hesitate to contact Caroline Sporleder at the above email address.
About Göttingen and Göttingen University:
=============================
Göttingen University is a traditional research university in the centre of Germany. Together with its Göttingen Campus partners, including the State and University Library Lower Saxony, the Göttingen Academy of Sciences and Humanities, the Herzog August Library Wolfenbüttel and several Max-Planck Institutes, it is also one of the largest Digital Humanities centres in Germany and offers a research-oriented and strongly international working environment.
Göttingen is a traditional university city with a charming historical centre and good public transport connections to major cities such as Berlin, Frankfurt or Hamburg. It is also one of the greenest cities in Germany, with many parks and riverside walks, and easy access to the nearby Harz mountains.
Links:
====
Official Job Ad (in German):
http://www.uni-goettingen.de/de/305402.html?cid=100221
Application Portal:
https://lotus2.gwdg.de/uni/uzdv/perso/knr_100221.nsf
Göttingen University:
http://www.uni-goettingen.de/
GCDH:
http://www.gcdh.de/en/
____________________________
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