Project: MIND-MATTER
Duration: 6 months (2026)
Location: Hybrid (Bremen / remote)
About the RoleWe are looking for an AI Researcher / Engineer for a project funded under the ARIA AI Scientist Call, to help build next-generation systems for autonomous scientific discovery. You will work on AI agents that can reason over scientific knowledge, design and run simulations, analyze results, and iteratively refine hypotheses — pushing toward the vision of an AI Scientist.
This role sits at the intersection of AI systems, scientific computing, and materials research, within a high-risk, high-impact research programme exploring neuromorphic materials and “computation in matter”.
What You’ll DoBuild and integrate AI agents that autonomously explore scientific hypotheses
Connect AI reasoning systems to simulation and data analysis pipelines
Design infrastructure for managing experiments, simulations, and results
Develop tools for automated analysis, comparison of models, and visualization
Collaborate closely with experimentalists and researchers across Europe
The emphasis is on systems thinking and autonomy, not narrow model tuning.
What We’re Looking ForEssential
Background in AI, computer science, physics, materials science, or related fields
Strong Python skills and experience with scientific or ML workflows
Familiarity with modern AI tools (LLMs, agents, APIs, or ML frameworks)
Ability to work independently in open-ended research settings
Nice to Have
Experience with simulations, computational physics, or materials modeling
Cloud infrastructure, data pipelines, or automation experience
Interest in Bayesian methods, experiment design, or scientific reasoning
We welcome applications from researchers at different career stages, provided they have relevant expertise and a strong research background aligned with the project
About the ProjectMIND-MATTER investigates neuromorphic materials that perform energy-efficient analogue computing. The project pioneers an AI Scientist that closes the loop from hypothesis → experiment → analysis → theory refinement, setting a blueprint for future self-driving labs.
How to ApplySend:
Your CV
A short statement (1–2 paragraphs) on your background and interest in autonomous scientific discovery
Top Skills
What We Do
Constructor Knowledge Labs (CKL) is a research institute based in Bremen, Germany, dedicated to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence across interdisciplinary domains.
