PhD Candidates and Postdoctoral Researchers, Germany

Postdoc in Germany

PhD Candidates and Postdoctoral Researchers: The Computational Corpus Linguistics (CCL) group at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), led by Prof. Stephanie Evert, is seeking applications for several open PhD and postdoctoral positions. These positions offer an exciting opportunity to contribute to cutting-edge research in computational corpus linguistics.

PhD Candidates and Postdoctoral Researchers in Computational Corpus Linguistics

Designation: PhD Candidates and Postdoctoral Researchers

Research Area: Computational Corpus Linguistics

Location: Erlangen, Bavaria, Germany

Eligibility/Qualification:

Necessary qualifications:

  • M.A./M.Sc. or Ph.D. in Computational Linguistics, Mathematics, Computer Science, Machine Learning, Data Science, Computational Humanities, or similar field (with very good grades)
  • Strong programming skills, ideally in Python and/or R
  • Experience with machine learning in NLP, deep learning, or statistical analysis
  • Near-native language skills in German or English
  • Excellent communication skills in English, including writing for publication and presenting research findings
  • Ability to work independently, manage own academic research, and supervise student assistants
  • Effective teamwork skills

Desirable qualifications:

  • Strong mathematical skills
  • Ability to analyze linguistic data
  • Experience with corpus creation and gold standards
  • Native-like language skills in German and English
  • Experience with developing Web apps in Python/Flask and Web-based UIs

Job Description:

  • Contribute to research projects in computational corpus linguistics
  • Depending on qualifications and preferences, tasks may include statistical modeling, deep learning applications, data augmentation, corpus queries, and LLM development and evaluation
  • Develop and implement statistical models for linguistic data
  • Write and refine sophisticated corpus queries
  • Implement deep learning models for NLP and legal tech applications
  • Evaluate algorithms and NLP applications thoroughly
  • Produce research documentation and co-author publications
  • Present research findings at conferences
  • Manage project tasks, supervise student assistants, and provide progress reports
  • Contribute to the self-administration of the CCL team and its Web presence

How to Apply: Interested candidates should submit their applications by April 21, 2024, by sending an email to stephanie.evert[at]fau.de, providing evidence of all relevant qualifications.

Last Date for Apply: Sun. April 21, 2024

For inquiries about the positions or expected qualifications, please contact Prof. Stephanie Evert at stephanie.evert[at]fau.de.

Note: Interviews with promising candidates will be conducted via teleconference within two weeks after the application deadline.

For more information and to apply, visit: FAU Jobs – Computational Corpus Linguistics Positions

Learn more about CCL (Lehrstuhl für Korpus- und Computerlinguistik) at FAU: CCL at FAU

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