ApplySarthiPh.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps
Constructor Labs
Tailor my CV for this job, freeView job and applyYour CV rewritten for this role, from your real experience. Sign in with Google, nothing to install.
Got this interview? Our apps help you get the job.
Skills named in this job
Read from the description itself, not inferred.
This role on the market
3 open unstructured roles across 3 companies are on ApplySarthi right now.
- Product Owner - Unstructured Data & AIJPMorgan
- Executive Assistant, Quick – Unstructured Data StackAmazon Web Services
What unstructured roles keep asking for: AWS (33%), LLMs (33%), Machine learning (33%), Product management (33%), React (33%), Stakeholder management (33%) — counted across their open postings here.
LLMs jobs · Machine learning jobs
Constructor Labs has 13 open roles listed here.
- Ph.D. Position in Computer Science (Wearable Intelligence & Data Fusion)
- Senior Scientific Software Engineer — Simulation and Machine Learning
- Senior Frontend Engineer — Scientific Applications
- Sales & Client Engagement Director (EMEA + DACH)
- Principal Software Architect — Quantum Platform
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for unstructured roles keep coming back to AWS, LLMs, Machine learning, Product management. Practise those questions before you sit with Constructor Labs.
Questions you are likely to be asked
- Why do you want to join Constructor Labs?
- What is your experience with LLMs? Tell me one thing you learned the hard way.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
- What is a weakness you are working on, and how?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Ph.D. Researcher. Knowledge Discovery: From Unstructured Data to Shared Cognitive Maps at Constructor Labs interview free →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).
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.
The overarching goal is to create systems that enable transparent, adaptive, and spatially intuitive representations of knowledge, supporting both individual users and collaborative communities.
Applicant Profile
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.
- Strong mathematical background supported with experience in defining and developing knowledge-graph or information retrieval systems.
- 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).
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 (optional)
Application Details
- Expected start date: September, 2026
Application package must include:
- Curriculum Vitae (CV);
- Academic transcripts ;
- A detailed letter of motivation outlining research interests and career goals;
- 2 recommendation letters;
Applications to be reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
Find more English Speaking Jobs in Germany on ArbeitnowMatch this job to your CV
ApplySarthi scores your CV against this role, shows the skills you are missing, and writes a tailored version for the application.
Check my match →Similar open roles
- Senior Scientific Software Engineer — Simulation and Machine LearningConstructor Labs
- Senior Frontend Engineer — Scientific ApplicationsConstructor Labs
- Sales & Client Engagement Director (EMEA + DACH)Constructor Labs
- Principal Software Architect — Quantum PlatformConstructor Labs
- Postdoctoral Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content GenerationConstructor Labs
- PhD Researcher: AI for Semantic Structures, Reasoning Flows & Personalized Content GenerationConstructor Labs
- PhD Position: World Models for Software Architecture Synthesis (Constructor Fabric)Constructor Labs
- Lead Product ManagerConstructor Labs
Need answers during your interview? Try Live Sarthi.
Live Sarthi, an Interview Sarthi app, shows answer suggestions during the call.
- Hidden from supported screen sharingThe overlay stays out of supported Windows screen captures.
- Answers start in about 1.5 secondsResponse time varies with your connection and model.
- From your own CVYour projects and your experience, not a generic script.
- 30 minutes freeThen ₹99 for a 2-day pass with unlimited calls — you pay for the days you are interviewing, not a subscription.
A Windows app, from the same team as ApplySarthi.
Listed on arbeitnow · posted 2026-11-02. ApplySarthi collects openings and links to application pages; the role is advertised by Constructor Labs, not by us.