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Postdoctoral Researcher" - Erlangen, Deutschland - Friedrich-Alexander-Universität Erlangen-Nürnberg
Beschreibung
The Humboldt Chair in Digital Humanities at the Department of Digital Humanities and Social Studies at Friedrich-Alexander-Universität Erlangen-Nürnberg is looking for up to 8 postdoctoral and doctoral researchers to join exciting projects on language, data, and society in the digital world.
Ihre AufgabenIn todays digital world, a deep understanding of language and its role in society is vital for humanity. Human beings use language to act, to do things and interact with one another. People use language to make sense of the world.
Language is used to tell the stories and create the narratives that shape our society, our culture and our reality.
The digital world has added further dimensions to the way in which language provides data, helps to interpret data and tells stories about data.
Crucially, a lot of data in the digital world is language data. At the same time, the human perspective on data will always require language to make sense of it.Even if AI takes over the telling of stories of humanities, it will need to be humans who make sense of them, and they need language to do so.
Join our DHSS team and contribute to a programme of innovative research with projects that develop computational, corpus, and statistical methods and software, as well as topic-focused projects in digital environmental humanities, digital literary and cultural history, digitally supported storytelling and creative writing.
In your cover letter, please specify which of these focus areas you are applying for. Depending on your qualifications and experience there are different options of appointment.PhD positions are for up to 3 years (65% or 100%) Postdoctoral positions are initially for 2 years (100%), with the opportunity for extension after successful completion of that period
Specific responsibilities will include (depending on the project strand):
Collecting, analysing and interpreting data
Critically evaluating research literature and projects
Developing, implementing, and applying novel methods and tools
Writing up results and co-authoring publications
Producing documentation
Leading on the organisation of workshops and other dissemination activities
Developing training materials for workshops, and materials for web presence
Working as part of a team, with the responsibility to manage specific work packages of the team research programme
Managing project tasks, including supervising student assistants, and providing progress reports
Ihr Profil
Notwendige Qualifikationen:
For the methods and software strand:
M.A./M.Sc. or Ph.
D. (or equivalent qualifications) in Computer Science, Computational Humanities, Computational Linguistics, Mathematics, Machine Learning, Data Science, or other relevant subjects.
Evidence of strong programming skills, ideally Python and/or R
Experience with machine learning, and/or statistical analysis
Fluency in relevant models, techniques or methods and ability to contribute to developing new ones
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
High level analytical capability
Ability to communicate complex information clearly
Ability to assess resource requirements and use resources effectively
Ability to work independently, manage own time efficiently and effectively
Ability to work as part of a team, and to co-ordinate own work with others to avoid conflict or duplication of effort
Working level German or willingness to acquire working knowledge of the language
For the topic-focused strands
M.A./M.Sc. or Ph.
D. (or equivalent qualifications) in a relevant area of digital humanities, corpus linguistics, linguistics, psychology, literary studies, geography, social history, or other relevant subjects
Knowledge of relevant theories, models, techniques or methods and ability to contribute to developing new ones
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
High level analytical capability
Ability to communicate complex information clearly
Ability to assess resource requirements and use resources effectively
Ability to work independently, manage own time efficiently and effectively
Ability to work as part of a team, and to co-ordinate own work with others to avoid conflict or duplication of effort
Working level German or willingness to acquire working knowledge of German
Wünschenswerte Qualifikationen:
Strong publication record appropriate for career level and experience
Strong programming skills with evidence of applications
Experience with generative AI
Experience designing experiments (including ethics requirements)
Experience collecting and creating new data sets
Experience developing web applications (individually or as a part of team)
Native-like language skills in both English and German
Evidence of the ability to supervise research assistants
Stellenzusatz
Informal enquiries can be made to .
Please send your application to (in PDF format, as a single document) by e-mail.
The application has to include a cover letter (stating the area of focus that you are applying for), an academic CV, and evidence of all relevant qualifications.
The first round of interviews will take place in the week beginning 3rd June.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.Veröffentlichungsdatum:
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