PhD: AI/ML for Adaptive Knowledge Graphs

Constructor University Bremen gGmbH; Germany (OH); On-site; USD 19,289 - 23,105; Full time

Benefits offered by this job

Stipend €1,650 per month

Research-cost allowance €100 per month

Health-insurance subsidy €100 permonth

Mini-job allowance €603 per month (opt

Job summary

Constructor University Bremen gGmbH, School of Science, invites applications for PhD student positions in Computer Science (AI/ML). The roles are funded by a dedicated fellowship with a monthly stipend and allowances and are open to MSc graduates, with fast-track options for select BSc holders.

Research will pursue actionable knowledge representation, including knowledge graphs and adaptive reasoning. Candidates should have a strong math background, experience with ML/LLMs, and a publication

Qualifications

• Holding MSc in CS/AI/ML or related discipline.
• Strong mathematical background and experience with knowledge-graph or information retrieval systems.
• Hands-on experience with large language models (LLMs) and their applications.
• A track record of publications in AI/ML or related areas.
• Documented experience in practical research work.
• Strong academic English writing (peer‑reviewed papers, reports, or equivalent).

Skills

Knowledge graphs

ML/AI foundations

LLMs usage

Academic writing

Mathematics for ML

Education

MSc in Computer Science / AI / ML

BSc with fast-track potential

Job description

Constructor University Bremen gGmbH, School of Science, invites applications for PhD student positions in Computer Science (AI/ML). The roles are funded by a dedicated fellowship with a monthly stipend and allowances and are open to MSc graduates, with fast-track options for select BSc holders.

Research will pursue actionable knowledge representation, including knowledge graphs and adaptive reasoning. Candidates should have a strong math background, experience with ML/LLMs, and a publication