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

Constructor Knowledge Labs; Bremen; Vor Ort; EUR 18.000 - 27.000; Vollzeit

Benefits dieser Stelle

Monthly stipend

Research-cost allowance

Health-insurance subsidy

Mini-job allowance

Zusammenfassung

Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (CT), invites MSc graduates to apply for PhD student positions in Computer Science with a focus on AI and ML. You will contribute to CKL research projects and pursue your degree, including a 6‑month internship at CT for industrial experience.

Funding covers a full stipend and research costs for the duration, with health-insurance support and a supplementary mini-job allowance to assist

Qualifikationen

• MSc in Computer Science, AI, ML or related field
• Hands-on experience with large language models (LLMs) and their applications
• Track record of publications in AI/ML or related areas
• Strong skills in academic English writing (peer‑reviewed papers, reports)
• Hands-on research demonstrated through publications and/or open‑source contributions
• Mathematical background with experience in knowledge-graph or information retrieval systems

Aufgaben

• Contribute to research projects at CKL and academia
• Undergo a dedicated 6‑month internship at Constructor Technology (CT)

Jobbeschreibung

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 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).

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:

• 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.

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.