Constructor Student Labs

Next-generation language models

• Diffusion models for text: 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.
• LLM security: how to host large language models securely when many users and organisations share the same system

💡 What you’ll experience

• Explore an open research question that matches your level: beginner, intermediate or advanced
• Learn from weekly mentoring sessions with Constructor researchers and engineers
• Exchange ideas with other students, and study solo or in a pair
• Present your results as a research report, prototype or research concept

🎓 Who can apply?

• BSc and MSc students of Constructor University and our partner universities
• Students with a strong interest in AI, LLMs, software engineering or research. Beginners are welcome!

👉 How it works

• Choose a topic from a curated list proposed by our researchers.
• Find your level. Topics are offered for beginner, intermediate and advanced students, so everyone can find one that fits.
• Study solo or in a pair , depending on the topic.
• Lead your own research and set your own schedule, with weekly guidance from your mentor.
• Present your results and receive feedback and a certificate of completion.

⭐ Why join?

• Study a fast-growing field from inside a real AI platform
• Learn from experts: weekly mentorship from researchers and engineers
• Earn academic credit: depending on your university’s rules, the Labs can count towards your mandatory internship, earn you project credits, or become part of your thesis
• Publish: strong results can be published, with you as an author
• Build your research portfolio and receive a certificate
• Next steps: thesis co-supervision, and you can apply for paid internships in the Constructor ecosystem (separate application)

📅 Duration: 2 months

📍 Format: remote, or hybrid in Bremen (DE), Sofia (BG) or Belgrade (RS)

🗓 Mentoring: weekly sessions with your mentor. About 10–15 hours a week; you set your own schedule.

Student Labs is an educational research program, not a job or an internship. Participation is unpaid and voluntary.

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