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

Constructor Knowledge Labs
Bremen, Germany
yesterday

Role details

Contract type
Internship / Graduate position
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Bremen, Germany

Tech stack

Artificial Intelligence
Information Retrieval
Machine Learning
Large Language Models
Information Technology
Free and Open-Source Software

Job description

In this position students will contribute to research projects in CKL and as part of their education, will also engage in a dedicated 6-months internship period at Constructor Technology (CT), gaining first-hand industrial experience., The appointment provides full financial coverage through a dedicated fellowship, comprising:

  • 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

This structure follows best practices of European research funding programs and ensures that the PI can pursue research objectives with both financial and administrative stability., * 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.

Requirements

Do you have experience in Research?, Do you have a Master's degree?, Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding 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)., * 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.

Apply for this position