About this role
Autonomous Scientific Discovery (AI × Materials)
Project: MIND-MATTER
Duration: 6 months (2026)
Location: Hybrid (Bremen / remote)
About the Role
We 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 Do
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Build and integrate AI agents that autonomously explore scientific hypotheses
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Connect AI reasoning systems to simulation and data analysis pipelines
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Design infrastructure for managing experiments, simulations, and results
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Develop tools for automated analysis, comparison of models, and visualization
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Collaborate closely with experimentalists and researchers across Europe
The emphasis is on systems thinking and autonomy, not narrow model tuning.
What We’re Looking For
Essential
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Background in AI, computer science, physics, materials science, or related fields
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Strong Python skills and experience with scientific or ML workflows
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Familiarity with modern AI tools (LLMs, agents, APIs, or ML frameworks)
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Ability to work independently in open-ended research settings
Nice to Have
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Experience with simulations, computational physics, or materials modeling
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Cloud infrastructure, data pipelines, or automation experience
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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 Project
MIND-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 Apply
Send:
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Your CV
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A short statement (1–2 paragraphs) on your background and interest in autonomous scientific discovery
About Constructor Knowledge Labs
At the Constructor Knowledge Labs (CKL) , we are committed to advancing applied research in Computer Science, Software Engineering, Machine Learning, and Artificial Intelligence. Based in Bremen, Germany, our mission is to drive innovation by applying cutting-edge methodologies and models to interdisciplinary domains such as Robotics, the Metaverse, Neurosciences, Neuropsychology, Education, and Life Sciences. Through a close partnership with Constructor University, CKL fosters collaborative research, offering a vibrant and innovative environment for researchers and joint PhD students. Together, we aim to make a meaningful impact by addressing real-world challenges through applied research and technological advancements.
Jobb.ai is an independent skill benchmarking platform. Applications are submitted on the employer's official website.