Constructor Student Labs

<p>&nbsp;</p> <h4>Student Labs: Constructor Fabric Research Edition</h4> <p><strong>Curious how AI is changing the way software is built? Want to explore it hands-on, guided by the researchers who work on it every day?</strong></p> <p>Constructor Tech and Constructor Labs, together with Constructor University, invite you to <strong>Student Labs</strong>: a 2-month educational research program for BSc and MSc students.</p> <p>This edition is dedicated to <strong>Constructor Fabric</strong>, a shared AI and software platform. Fabric brings together reusable building blocks, common infrastructure and AI agents that help design, build and test software.</p> <h5>🚀 Why Constructor Fabric?</h5> <p>AI-native software platforms are one of the <strong>fastest-growing fields in tech</strong>, and few students get to study one from the inside. Student Labs gives you that chance. You explore open research questions on a platform in active development, learn current research methods, and build skills that are in high demand in industry and academia.</p> <h5>🔬 What you can research</h5> <h5>&nbsp;</h5> <p><strong>AI that builds software</strong></p> <ul> <li><strong>Domain-specific languages (DSL):</strong> how a formal language can describe software components so that AI can generate and regenerate them from specifications</li> <li><strong>Neurosymbolic models:</strong> combining neural networks with logic and rules, so that AI-generated code can be checked, not just produced</li> <li><strong>Rule extraction and fine-tuning:</strong> how to extract rules and knowledge from existing code and use them to adapt language models</li> <li><strong>World models:</strong> how AI systems build an internal model of their environment to understand, plan and predict</li> <li><strong>Formal verification:</strong> mathematical methods that prove software behaves as specified</li> <li><strong>Geometric models:</strong> using geometry to represent data and help AI models learn from it</li> <li><strong>Benchmarking:</strong> how to measure fairly whether one AI model or method is really better than another</li> </ul> <p><strong>Next-generation language models</strong></p> <ul> <li><strong>Diffusion models for text:</strong> today’s LLMs write one token at a time, which makes them slow and prone to hallucinations. Diffusion models generate whole passages at once. Explore how to make them match and beat today’s models.</li> <li><strong>LLM security:</strong> how to host large language models securely when many users and organisations share the same system</li> </ul> <p>&nbsp;</p> <h5>💡 What you’ll experience</h5> <ul> <li>Explore an open research question that matches your level: beginner, intermediate or advanced</li> <li>Learn from weekly mentoring sessions with Constructor researchers and engineers</li> <li>Exchange ideas with other students, and study solo or in a pair</li> <li>Present your results as a research report, prototype or research concept</li> </ul> <h5>🎓 Who can apply?</h5> <ul> <li>BSc and MSc students of Constructor University and our partner universities</li> <li>Students with a strong interest in AI, LLMs, software engineering or research. Beginners are welcome!</li> </ul> <h5>👉 How it works</h5> <ol> <li><strong>Choose a topic</strong> from a curated list proposed by our researchers.</li> <li><strong>Find your level.</strong> Topics are offered for beginner, intermediate and advanced students, so everyone can find one that fits.</li> <li><strong>Study solo or in a pair</strong>, depending on the topic.</li> <li><strong>Lead your own research</strong> and set your own schedule, with weekly guidance from your mentor.</li> <li><strong>Present your results</strong> and receive feedback and a certificate of completion.</li> </ol> <h5>⭐ Why join?</h5> <ul> <li><strong>Study a fast-growing field</strong> from inside a real AI platform</li> <li><strong>Learn from experts:</strong> weekly mentorship from researchers and engineers</li> <li><strong>Earn academic credit:</strong> depending on your university’s rules, the Labs can count towards your mandatory internship, earn you project credits, or become part of your thesis</li> <li><strong>Publish:</strong> strong results can be published, with you as an author</li> <li><strong>Build your research portfolio</strong> and receive a certificate</li> <li><strong>Next steps:</strong> thesis co-supervision, and you can apply for paid internships in the Constructor ecosystem (separate application)</li> </ul> <p>📅 <strong>Duration:</strong> 2 months<br>📍 <strong>Format:</strong> remote, or hybrid in Bremen (DE), Sofia (BG) or Belgrade (RS)<br>🗓 <strong>Mentoring:</strong> weekly sessions with your mentor. About 10–15 hours a week; you set your own schedule.</p> <p><em>Student Labs is an educational research program, not a job or an internship. Participation is unpaid and voluntary.</em></p>