Role Description

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

• Build 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.

Qualifications

• 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

Requirements

• Experience with simulations, computational physics, or materials modeling (Nice to Have)
• Cloud infrastructure, data pipelines, or automation experience (Nice to Have)
• Interest in Bayesian methods, experiment design, or scientific reasoning (Nice to Have)

We welcome applications from researchers at different career stages, provided they have relevant expertise and a strong research background aligned with the project.

Company Description

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:

• Your CV
• A short statement (1–2 paragraphs) on your background and interest in autonomous scientific discovery