Georg-August-Universität Göttingen

Researcher (PhD candidate), all genders welcome

Stellenbeschreibung:

Overview

The Human-Centered Data Science group led by Prof. Lisa Beinborn at the University of Göttingen (Public Law Foundation) invites applications for an open position: Researcher (PhD candidate), all genders welcome.

Entgeltgruppe 13 TV-L, 100 %, Starting Date: July 2026 (open until filled), Duration: 3 years, Research Field: Cognitively-Inspired Natural Language Processing, Location: Göttingen, Germany, Application Deadline: 15th April, 2026.

The Human-Centered Data Science group is affiliated with the Institute of Computer Science and the Campus Institute Data Science (CIDAS) at the University of Göttingen. Our research is inter-disciplinary at its core, and we cooperate closely with colleagues from other faculties (e.g., psychology, linguistics). We take a human-centered perspective on natural language processing and focus on cross-lingual and cognitively-inspired research questions.

Project

KIND-LM: Cognitively-inspired interaction dynamics for sample-efficient language modeling

Responsibilities

Responsibilities include:

  • conduct innovative research in the context of the project.
  • collaborate with the project partners and contribute to meetings of the priority programme.
  • communicate research results in peer-reviewed proceedings and journals, and present them at international research conferences.
  • take an active role in the co-supervision of student theses related to the project.
  • engage in the activities and events of the research group.

The ideal candidate

  • has obtained a very good master’s degree in computer science, cognitive science, computational linguistics, machine learning, or a related discipline.
  • has gained experience with natural language processing research and demonstrates a strong interest in the psycholinguistic aspects of the project outlined above.
  • can independently acquire and process new knowledge.
  • is a team player with good communication skills and an interdisciplinary mindset.
  • has obtained strong analytical and programming skills and is committed to further developing them (experience with large-scale experiments on GPUs is beneficial).
  • shows very good command of written and spoken English (knowledge of German and other languages is beneficial).

Equal opportunities

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. The University is particularly committed to the professional participation of severely disabled employees and therefore welcomes applications from severely disabled people. In the case of equal qualifications, applications from people with severe disabilities will be given preference. A disability or equality is to be included in the application in order to protect the interests of the applicant.

Application documents

Send the following information to as a single PDF:

  1. Letter of motivation: one page, including a clear indication of why this particular position is interesting for you and what makes you a qualified candidate (no generic AI slop)
  2. Detailed CV
  3. Certificates (including a transcript of grades)
  4. A page containing a link to an example of your work (your most recent thesis, a publication, a code repository) and a short explanation of how this work represents your profile. If the document is not publicly available, please attach it to the pdf.

Data protection note

Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the

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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Göttingen

    Einsatzort:

    Göttingen, Germany
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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