Ph.D. Position in Computer Science (AI & Machine Learning)
Constructor Knowledge LabsGermany9 days ago
Full-timeResearch, Analyst +1
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Constructor University in collaboration with Constructor Knowledge Labs and Constructor Technology
About The Position
The research group led by Prof. Dr. Andrey Ustyuzhanin at Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applications for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).
Constructor University is a private, English-speaking research and teaching university located in Bremen, Germany. In close partnership with CKL and industry, it offers a dynamic and innovative environment where PhD students and researchers engage in high-impact, applied research at the intersection of AI, ML, and knowledge representation.
In this environment, PhD students often contribute to multiple research projects in parallel, working collaboratively with academic and industry experts. This requires adaptability, strong communication skills, and the ability to balance diverse research tasks while pursuing their doctoral dissertation.
About The Program
The PhD program is primarily research-based, focusing on conducting original research and writing a dissertation. It emphasizes cutting-edge developments in AI and ML, along with their applications in science, education, healthcare, finance, and autonomous systems.
While research and dissertation writing form the core activity, students will also have access to specialized courses in:
Research Focus
This PhD position is part of an initiative to advance knowledge representation and adaptive reasoning systems. The research will focus on developing flexible frameworks for actionable knowledge representation that support storage, retrieval, and dynamic adaptation of information across diverse tasks.
Key objectives include:
Funding and Work Opportunities
Mandatory requirements:
About The Position
The research group led by Prof. Dr. Andrey Ustyuzhanin at Constructor University, in collaboration with Constructor Knowledge Labs (CKL) and Constructor Technology (industry partner), invites applications for Ph.D. student positions in the field of Computer Science, with a focus on Artificial Intelligence (AI) and Machine Learning (ML).
Constructor University is a private, English-speaking research and teaching university located in Bremen, Germany. In close partnership with CKL and industry, it offers a dynamic and innovative environment where PhD students and researchers engage in high-impact, applied research at the intersection of AI, ML, and knowledge representation.
In this environment, PhD students often contribute to multiple research projects in parallel, working collaboratively with academic and industry experts. This requires adaptability, strong communication skills, and the ability to balance diverse research tasks while pursuing their doctoral dissertation.
About The Program
The PhD program is primarily research-based, focusing on conducting original research and writing a dissertation. It emphasizes cutting-edge developments in AI and ML, along with their applications in science, education, healthcare, finance, and autonomous systems.
While research and dissertation writing form the core activity, students will also have access to specialized courses in:
- Artificial Intelligence and Machine Learning
- Mathematics and advanced computational methods
- Hard science electives (depending on availability)
Research Focus
This PhD position is part of an initiative to advance knowledge representation and adaptive reasoning systems. The research will focus on developing flexible frameworks for actionable knowledge representation that support storage, retrieval, and dynamic adaptation of information across diverse tasks.
Key objectives include:
- Transforming unstructured data into interactive knowledge graphs and personalized cognitive maps.
- Designing models that provide interpretable, persistent, and navigable structures of knowledge.
- Addressing challenges such as hierarchy, composability, and coarse-graining for robust, task-specific reasoning.
- Exploring individual and community-level knowledge modeling, including personalized domain maps, profile extraction from artifacts (e.g., papers, courses), and cross-domain abstraction.
Funding and Work Opportunities
- These positions are tuition-funded, with competitive fee waivers available for eligible students. Applicants are encouraged to apply for these waivers during the admissions process to reduce or eliminate their tuition costs.
- Full-time students may also work as teaching assistants (TAs) or research assistants (RAs) on projects aligned with their thesis topics, receiving salaries to cover living expenses. These roles provide not only financial support but also valuable mentoring, collaboration opportunities, and skill development within Constructor Technology's innovation ecosystem.
- Students additionally have opportunities to receive mentorship and support for entrepreneurial activities, including assistance in developing startups and spinoff projects based on their research outcomes.
Mandatory requirements:
- Holding recognized MSc degree (or equivalent) in Computer Science, AI, ML, or a related discipline.
- Students holding BSc degree 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.
- Documented experience in practical research work.
- Strong skills in academic English writing (peer-reviewed papers, reports, or equivalent).
- Strong interest in knowledge graphs, information retrieval, or cognitive systems.
- Ambitious, self-motivated, and eager to work in a collaborative, interdisciplinary research environment.
- Strong analytical and communication skills, including the ability to prioritize and manage multiple tasks and projects in parallel.
- Interest in teaching, mentoring, and interdisciplinary learning.
- Application deadline: October 10, 2025, at 13:00 (CEST)
- Apply online: Constructor University PhD Degrees
- Curriculum Vitae (CV)
- Academic transcripts
- A detailed letter of motivation outlining research interests and career goals
Key Skills
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