European Institute for Materials, AI & Technology
Where European scientific heritage meets the frontier of computation. We engineer the materials and intelligent systems that will define the next century.
Our Mission
EIMATEL was founded on a simple conviction: that the great challenges of our age — clean energy, trustworthy intelligence, resilient materials — demand institutions that refuse the boundaries between disciplines.
From our laboratories in Madrid, affiliated with UC3M, more than two hundred researchers work across nanoscience, machine learning, quantum systems and biomedical engineering. We pair the rigour of European academic tradition with the velocity of modern computation, training the scientists and engineers who will lead the field for decades to come.
Est. MMVIII · Madrid
Research Programs
These are the programmes currently running across our laboratories: discipline-deep, problem-driven, and built to intersect. Below, a selection of the questions our researchers are working on today.
Where the fields meet — often the strongest fit for a multi-disciplinary institute.
Online Programmes
Fully online, mentor-led programmes — no lecture halls, no cohorts to keep pace with. Each learner is paired with a dedicated specialist for the full duration.
Online · 1-to-1
A guided journey from core principles to research-grade practice — computational chemistry, catalysis and green-solvent systems, shaped around your goals.
Online · 1-to-1
Machine learning, deep learning and applied AI, built end-to-end with a specialist mentor — from foundations to a portfolio of real, deployable projects.
Online · 1-to-1
Algorithms, data structures and contest strategy with a specialist coach — paced for steady progress from your first problem set to advanced rounds.
People
A faculty drawn from across the world — professors, scientists and engineers who lead their fields, supported by the people who keep the institute running.
Faculty
Professor of Digital Health & Data Science
Professor of Information Security & ML
Professor of Human-Centered ML
Professor of Green Energy Materials
Professor of Advanced Nanomaterials
Professor of Biomedical Technology
Research Assistants
Research Assistant
Research Assistant
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Research Assistant
Research Assistant
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Research Assistant
Selected Publications
Frontiers in Medicine · Vol. 13 · M. Soni et al.
A saliency-guided deep learning framework segments retinal vasculature with high fidelity, supporting scalable, energy-aware digital pathology pipelines.
Read PaperLanguage Resources and Evaluation · C. Busso, … S. Kim et al.
A landmark multimodal corpus for affective computing — cited over 5,700 times — that established a benchmark for emotion recognition from speech and motion.
Read PaperIEEE Int. Conf. on Computing & Machine Intelligence · A. M. Rahi et al.
A hybrid convolutional–transformer architecture improves multi-class disease classification from chest radiographs for resource-constrained clinical settings.
Read PaperInt. Journal of Environmental Research and Public Health · H. Byeon
A meta-analysis quantifying occupational and behavioural risk factors for voice disorders, informing preventive public-health policy for educators.
Read PaperNews & Events
EIMATEL will coordinate a nine-nation consortium developing sustainable solid-state battery chemistries for the continent's energy transition.
14 June 2026 · Grants & Funding
The European Commission has awarded EIMATEL an €18 million Horizon Europe grant to establish and coordinate the European Battery Foundry — a nine-nation research consortium developing the next generation of sustainable, solid-state battery chemistries.
Over an initial four-year programme, the Foundry will bring together academic groups, national laboratories and industrial partners to move solid-state cells from the laboratory bench toward pilot-scale manufacturing, with an emphasis on earth-abundant materials and fully recyclable cell architectures.
Coordinated from EIMATEL's Madrid laboratories, the consortium directly supports the continent's energy-transition goals — reducing Europe's dependence on imported cells and strengthening its strategic position in clean-energy storage.
Three days of keynotes and workshops bringing together leaders in machine learning and the physical sciences. Registration now open.
2 June 2026 · Events
EIMATEL's flagship Symposium on AI for Science returns to Madrid for a three-day programme of keynotes, hands-on workshops and panel discussions at the intersection of machine learning and the physical sciences.
This year's edition centres on foundation models for scientific discovery, physics-informed learning, and trustworthy AI for high-stakes domains such as medicine and energy. Alongside the invited keynotes, attendees can take part in practical sessions led by EIMATEL faculty drawn from across the institute's nine research programmes.
Registration is now open to academics, industry practitioners and graduate students, with a limited number of bursaries reserved for early-career researchers.
Twelve early-career researchers join the institute's newest laboratory to advance error-corrected quantum hardware.
21 May 2026 · People & Labs
EIMATEL's newest laboratory — the Quantum Engineering lab — has welcomed its inaugural cohort of twelve early-career fellows, marking a significant expansion of the institute's work in quantum systems.
Over the coming years the fellows will focus on error-corrected quantum hardware: improving qubit coherence, benchmarking error-mitigation strategies on today's NISQ devices, and developing the control electronics needed to scale toward fault-tolerant machines.
The cohort joins an interdisciplinary environment that connects quantum engineering with the institute's programmes in AI, materials and chemistry — reflecting EIMATEL's conviction that the hardest problems sit at the boundaries between fields.
Find us
EIMATEL is a research laboratory affiliated with UC3M Madrid, in the heart of Spain.
Type
Research Laboratory
Affiliated Office
UC3M Madrid
Unit 2 & Unit 3 Offices
Address
Ronda de Toledo 1
28005 Madrid, Spain