About the role

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).
Strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems, strong programming skills.

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

Applications are reviewed on 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
Link to GitHub profile

Shortlisted candidates will be invited to interviews. Admission decisions will be announced by 10 April 2026.

Skills & Tags

go machine learning ai data

Aplyr's read

Constructor Knowledge Labs is at the forefront of AI-driven construction technology, attracting researchers and innovators passionate about transforming building management.
Synthesized from recent postings & public sources

What's promising

•Strong focus on AI-driven solutions for construction, a growing industry trend.
•Offers advanced research roles, appealing to academics and innovators.
•Encourages interdisciplinary collaboration, fostering innovation in construction tech.

What to watch

•Limited public information about company culture and employee satisfaction.
•Highly specialized roles may limit opportunities for broader tech professionals.
•Potentially high competition for advanced research positions.

Why Constructor Knowledge Labs