AI Researcher / Engineer

Constructor Knowledge Labs; Bremen; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A leading scientific research organization is seeking an AI Researcher/Engineer to develop autonomous systems for scientific discovery. The candidate will build AI agents that reason and design simulations, working collaboratively with researchers across Europe. Required qualifications include a degree in a related field, strong Python skills, and experience in scientific workflows. This role offers the opportunity to impact real scientific questions while driving innovation in AI systems.

Qualifikationen

• Degree in a relevant field like AI, computer science, or materials science.
• Strong skills in Python and familiarity with scientific workflows.
• Ability to operate independently in open-ended research settings.

Aufgaben

• Build and integrate AI agents for exploring hypotheses.
• Connect AI systems to data analysis pipelines.
• Design infrastructure for managing experiments and simulations.
• Develop tools for automated analysis and model comparison.
• Collaborate with researchers across Europe.

Kenntnisse

Strong Python skills

Experience with scientific or ML workflows

Background in AI, computer science, physics, or materials science

Familiarity with modern AI tools (LLMs, agents, APIs)

Ability to work independently

Ausbildung

Degree in AI, computer science, physics, materials science, or related fields

Jobbeschreibung

Project:MIND-MATTER

Duration:6 months (2026)

Location:Hybrid (Bremen / remote)

About the Role

We are looking for anAI Researcher / Engineerto help build next-generation systems forautonomous 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 anAI Scientist.

This role sits at the intersection ofAI 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 onsystems thinking and autonomy, not narrow model tuning.

What We’re Looking For

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

Why This Is Interesting

Real scientific impact: contribute to resolving open research questions

Autonomous AI: design systems that reason, act, and learn over long time horizons

Transferable methods: approaches applicable across materials, chemistry, and biology

Close collaborationwith leading researchers and experimental teams

About the Project

MIND-MATTERinvestigates neuromorphic materials that perform energy-efficient analogue computing. The project pioneers anAI Scientistthat closes the loop from hypothesis → experiment → analysis → theory refinement, setting a blueprint for future self-driving labs.

How to Apply

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