www.acad.jobs : academic jobs worldwide – and the best jobs in industry
                
     
Position: Postdoctoral Researcher in Computational Linguistics
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
Location: Bayern, Germany
Duties: Developing, implementing, and applying novel computer algorithms to support and improve the manipulation of concordance displays; Producing documentation; Carrying out interdisciplinary case studies using the new methodology in close collaboration with other researchers; Leading on the organisation of workshops and other dissemination activities; Developing training materials for workshops and materials for web presence
Requirements: PhD or DPhil in Computational Linguistics, Computer Science, Machine Learning, Corpus Linguistics, Computational Humanities, or similar subject (completed or near completion); Evidence of strong programming skills, ideally in Python; Evidence of ability to analyse linguistic data; Native-like language skills in German and English
   
Text: Navigation überspringen Zur Navigation Zum Seitenende Organisationsmenü öffnen Organisationsmenü schliessen FAU Zur zentralen FAU Website Willkommen Wir sind die FAU Karriere & Personalentwicklung Geben Sie hier den Suchbegriff ein, um in diesem Webauftritt zu suchen: Friedrich-Alexander-Universität FAU Jobs Menu Forschung & Lehre Technik & Verwaltung Studentische Hilfskräfte Auszubildende Postdoctoral Researcher in Computational Linguistics (100%, E13 TV-L, starting ASAP) For the project Reading concordances in the 21st century (RC21), run jointly by Friedrich-Alexander-Universität Erlangen-Nürnberg and the University of Birmingham, the Chair of Computational Corpus Linguistics is seeking to appoint a Postdoctoral Researcher in Computational Linguistics (100%, E13 TV-L, starting ASAP) The area of responsibility includes In today's digital world, the amount of text communicated in electronic form is ever-increasing and there is a growing need for approaches and methods to extract meanings from texts at scale. Corpus linguists have long been studying recurring patterns in digitised texts with the help of concordances, i.e. displays that show many occurrences of a word, phrase or construction across a range of contexts in a compact format. However, lacking a well-established and clear-cut methodology, the art of reading concordances has not yet realised its full potential. At the same time, there has been very little innovation in algorithms in the concordance software packages available to corpus linguists. This project proposes an innovative approach to reading concordances in the 21st century. Through the collaboration between the University of Birmingham and Friedrich-Alexander-Universität Erlangen-Nürnberg we combine strengths in theoretical work in corpus linguistics with expertise in computational algorithms in order to develop a systematic methodology for reading concordances and corresponding algorithms for the semi-automatic analysis of concordance lines. Through two case studies on English and German data sets, we will establish an approach that not only provides innovation in corpus linguistics, but also has wider implications for the analysis of textual data at scale, while still retaining a humanities perspective. Responsibilities of the postdoctoral researcher: Developing, implementing, and applying novel computer algorithms to support and improve the manipulation of concordance displays Producing documentation Carrying out interdisciplinary case studies using the new methodology in close collaboration with other researchers Leading on the organisation of workshops and other dissemination activities Developing training materials for workshops and materials for web presence Analysing data, writing up results, and co-authoring publications Managing project tasks, supervising student assistants, and providing progress reports Managing collaborative activities with the UK team Necessary qualification Selection criteria: PhD or DPhil in Computational Linguistics, Computer Science, Machine Learning, Corpus Linguistics, Computational Humanities, or similar subject (completed or near completion) Evidence of strong programming skills, ideally in Python Evidence of ability to analyse linguistic data Native-like language skills in German and English Excellent communication skills in English, including the ability to write for publication, present research proposals and results, and represent the project team at meetings and research events Ability to work independently, manage own academic research and associated activities, and to supervise student assistants Desirable qualification Additional qualifications: Strong publication record (commensurate with opportunities and experience) at relevant international conferences (computational linguistics, DH, corpus linguistics) Experience in interdisciplinary research is a plus Experience with deep learning approaches and/or statistical methods is a plus Remarks The contract will ideally start in February 2023 and will run until 31 January 2025. Please submit your application by e-mail to stephanie.evert@fau.de , providing evidence for all relevant qualifications. The application deadline is Friday, 16 December 2022 . In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples. Interviews with promising candidates are to be held by teleconference in the week beginning 19th December . Application deadline 16.12.2022 Details Job Title Postdoctoral Researcher in Computational Linguistics (100%, E13 TV-L, starting ASAP) Occupation at 01.02.2023 Wage TV-L E13 (depending on qualifications and personal requirements) Part-time / full-time Vollzeit Limitation 31.01.2025 Reason for limitation befristetes Forschungsvorhaben Contact person for further information Prof. Dr. Stephanie Evert Phone: 09131 85-22426 Email: stephanie.evert@fau.de Link: https://www.stephanie-evert.de/ Lehrstuhl für Korpus- und Computerlinguistik Bismarckstrasse 6 91054 Erlangen Bayern Overview Für alle Stellenausschreibungen gilt: Die Friedrich-Alexander-Universität fördert die berufliche Gleichstellung der Frauen. Frauen werden deshalb ausdrücklich aufgefordert, sich zu bewerben. Schwerbehinderte im Sinne des Schwerbehindertengesetzes werden bei gleicher fachlicher Qualifikation und persönlicher Eignung bevorzugt berücksichtigt, wenn die ausgeschriebene Stelle sich für Schwerbehinderte eignet. Details dazu finden Sie in der jeweiligen Ausschreibung unter dem Punkt "Bemerkungen". Bei Wunsch der Bewerberin, des Bewerbers, kann die Gleichstellungsbeauftragte zum Bewerbungsgespräch hinzugezogen werden, ohne dass der Bewerberin, dem Bewerber dadurch Nachteile entstehen. Ausgeschriebene Stellen sind grundsätzlich teilzeitfähig, es sei denn, im Ausschreibungstext erfolgt ein anderweitiger Hinweis. Über Impressum Datenschutz Barrierefreiheit Besondere Hinweise Twitter Facebook Xing YouTube Instagram Nach oben
Please click here, if the job didn't load correctly.
Your browser does not support iframes. Please click <a href="https://www.acad.jobs/job.php?t_id=J000379933&redirect" target="_parent" style="color:#7A7A7A">here</a>, if the job didn't load correctly.