진학프로석·박사 채용 접수 플랫폼

Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology, invites applications for Fast-track Ph.D. positions in Computer Science.

About the Position

Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applicants holding BSc degree and with a very strong scientific profile for fast-track 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-months internship period at Constructor Technology (CT), gaining first-hand industrial experience.

Mandatory requirements:

• • Students holding BSc degree in Computer Science, AI, ML, or a related discipline and exhibiting outstanding performance and extraordinary potential can apply for fast-track PhD.
• • 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).
• • Depending on the project strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems.

Funding & Appointment Terms

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.

Application Details

• • Application deadline: 20 March 2026
• • Admission decisions announced: 10 April 2026

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 10 April 2026.