Ph.D. positions in Computer Science for students holding MSc

Stellenbeschreibung:

About The Position

Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (CT), invites applicants holding a MSc degree and with a very strong scientific profile for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML). In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-month internship period at CT, gaining first‑hand industrial experience.

Mandatory Requirements

  • Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline;
  • Hands‑on experience with large language models (LLMs) and their applications;
  • A track record of publications in AI/ML or related areas;
  • Strong skills in academic English writing (peer‑reviewed papers, reports, or equivalent);
  • Hands‑on experience with research, demonstrated through publications and/or open‑source contributions;
  • Depending on the project, strong mathematical background supported with experience in defining and developing knowledge‑graph or information retrieval systems.

Funding & Appointment Terms

  • Monthly stipend of €1,650;
  • Monthly research‑cost allowance of €100 (Forschungskostenpauschale);
  • Health‑insurance subsidy of €100 per month;
  • Supplementary €550 mini‑job allowance to support parallel part‑time employment.

Application Details

Applications will be reviewed on a rolling basis.

Applications should include:

  • Curriculum Vitae (CV)
  • Academic transcripts
  • A detailed letter of motivation outlining research interests and career goals
  • 2 letters of reference

Shortlisted candidates will be invited to interviews. Admission decisions will be announced by December 20, 2025.

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    29 Mär 2026
  • Standort:

    Bremen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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