Postdoctoral Research Assistant in History (Humboldt University of Berlin Department of History)

Code number AN / 043/21 Category (s) Scientific staff Number of digits 1 Place of use Faculty of Arts and Humanities - Department of History application until 03/18/21 Text Job description: Scientific services in research and teaching; Participation in the development of projects and the acquisition of third-party funding as well as the implementation of your own innovative research projects, especially in the fields of NLP, Machine Learning or Research Software Engineering; Your own academic qualification (habilitation) Requirements: Completed university studies and doctorate in the fields of computer science, history, computational linguistics or related subjects; in-depth knowledge of current methods and technologies in at least one of the following areas: NLP, machine learning or research software engineering (RSE); Solid programming skills in Python and optionally other programming languages; a good command of written and spoken English as well as a basic knowledge of German (and the willingness to develop this upon taking up the position); Experience in the interdisciplinary work between computer science and humanities Bewerbung an Please send your application (with cover letter, curriculum vitae, relevant certificates and a project outline of 2-3 pages on your experience and ideas with which you would like to contribute to the chair), quoting the reference number AN/043/21 to the Humboldt-Universität zu Berlin, Faculty of Arts and Humanities, Department of History, Prof. Dr. Torsten Hiltmann, Unter den Linden 6,10099 Berlin or preferably by e-mail in one PDF file to digitalhistory@hu-berlin.de. HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only. Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version. If you apply for this position please say you saw it on Socioloxy

Code number
AN / 043/21

Category (s)
Scientific staff

Number of digits
1

Place of use
Faculty of Arts and Humanities - Department of History

application until
03/18/21

Text
Job description: Scientific services in research and teaching; Participation in the development of projects and the acquisition of third-party funding as well as the implementation of your own innovative research projects, especially in the fields of NLP, Machine Learning or Research Software Engineering; Your own academic qualification (habilitation)

Requirements: Completed university studies and doctorate in the fields of computer science, history, computational linguistics or related subjects; in-depth knowledge of current methods and technologies in at least one of the following areas: NLP, machine learning or research software engineering (RSE); Solid programming skills in Python and optionally other programming languages; a good command of written and spoken English as well as a basic knowledge of German (and the willingness to develop this upon taking up the position); Experience in the interdisciplinary work between computer science and humanities

Bewerbung an
Please send your application (with cover letter, curriculum vitae, relevant certificates and a project outline of 2-3 pages on your experience and ideas with which you would like to contribute to the chair), quoting the reference number AN/043/21 to the Humboldt-Universität zu Berlin, Faculty of Arts and Humanities, Department of History, Prof. Dr. Torsten Hiltmann, Unter den Linden 6,10099 Berlin or preferably by e-mail in one PDF file to digitalhistory@hu-berlin.de.

HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only.

Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.

If you apply for this position please say you saw it on Socioloxy

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