Fast-track Ph.D. positions in Computer Science for students holding BSc (AI & Machine Learning) and with a very strong scientific profile

Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology

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.