SciTransfer
Organization

UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA

Major Basque university strong in computational physics, nanomaterials, and polymer chemistry, with proven EU project coordination and a global research network.

University research groupmultidisciplinaryES
H2020 projects
141
As coordinator
58
Total EC funding
€43.4M
Unique partners
1236
What they do

Their core work

UPV/EHU is the major public research university of the Basque Country, with deep strengths in theoretical and computational physics, advanced materials science, and chemistry. Their H2020 portfolio reveals a university that produces foundational knowledge — density functional theory, quantum transport, nanoparticle design — and increasingly translates it into applied domains like additive manufacturing, sensors, and machine learning. They are a prolific host for Marie Skłodowska-Curie fellows, making them a training ground for early-career researchers across Europe. Beyond fundamental science, they contribute to applied challenges in railway infrastructure, oil spill response, fisheries management, and space instrumentation.

Core expertise

What they specialise in

Computational and theoretical chemistry/physicsprimary
25 projects

Dominant theme across MSCA fellowships and ERC grants including HADE (harmonic analysis), AccuCT (charge-transfer states), CoEND (electron-nuclear dynamics), AMO-dance (strong field dynamics), and QFluctTrans (quantum transport).

Nanomaterials synthesis and characterizationprimary
15 projects

Projects like LUMIMAGNET-NANO (luminescent/magnetic nanoparticles), 2D-INK (2D semiconducting materials), PEPTICAPS (peptide nanocapsules), and NFFA-Europe infrastructure access demonstrate end-to-end nanoparticle capabilities.

Polymer science and sustainable chemistrysecondary
8 projects

SUSPOL (organocatalysis and sustainable polymers), TRACKWAY (waterborne dispersed polymers), and COUPCAT (catalytic ethanol-to-propene conversion) show applied chemistry expertise.

Data science and machine learning for materialsemerging
5 projects

Recent-period keywords show big data (3 projects) and machine learning (2 projects) appearing alongside first-principles calculations, signaling a shift toward data-driven materials discovery.

Topological and quantum materialsemerging
4 projects

Recent keywords include Weyl semimetals, bulk photovoltaic effect, superconductivity, and spin-orbit coupling (SOCISS), indicating a growing focus on quantum and topological matter.

Additive manufacturing and sensorssecondary
6 projects

Recent keywords include additive manufacturing (2 projects), sensors (2 projects), instrumentation (2 projects), and process analytical technologies, bridging fundamental research to industrial application.

Evolution & trajectory

How they've shifted over time

Early focus
Experimental nanomaterials and characterization
Recent focus
Computational materials and data-driven methods

In the early H2020 period (2014–2018), UPV/EHU focused heavily on experimental characterization — nanoparticle synthesis, X-ray absorption spectroscopy, magnetic hyperthermia, and planetary science via the Europlanet infrastructure. The later period (2019–2022) shows a clear pivot toward computational and data-driven methods: first-principles calculations, density functional theory, machine learning, and big data appear as dominant keywords. Simultaneously, applied themes like additive manufacturing, sensors, and cyber-physical systems emerged alongside the continuing fundamental physics work, suggesting the university is building bridges between theory and industrial application.

UPV/EHU is moving from lab-based characterization toward computational prediction and machine learning for materials design — expect growing capability in AI-accelerated materials discovery.

Collaboration profile

How they like to work

Role: consortium_leaderReach: Global54 countries collaborated

UPV/EHU coordinates 41% of its projects — an unusually high rate for a university, showing strong proposal-writing capability and willingness to lead. Their 19 MSCA Individual Fellowships and 13 Standard European Fellowships indicate they are a magnet for incoming researchers, while 12 MSCA-RISE projects show active international staff exchange. With 1,236 unique partners across 54 countries, they operate as a network hub rather than relying on a small set of repeat collaborators — ideal for consortium builders seeking a well-connected Spanish partner.

With 1,236 unique consortium partners spread across 54 countries, UPV/EHU has one of the densest collaboration networks among Spanish universities. Their reach extends well beyond Europe, reflecting extensive MSCA-RISE mobility partnerships with institutions in Latin America, Asia, and North America.

Why partner with them

What sets them apart

UPV/EHU combines deep theoretical physics and computational chemistry expertise with a proven ability to coordinate EU projects — a rare pairing, as most theory-heavy groups participate rather than lead. Their Basque Country location gives access to a strong regional innovation ecosystem (including industrial clusters in advanced manufacturing and energy) that few purely academic institutions can match. For consortium builders, they offer a reliable Spanish coordinator with the administrative muscle of a large university and the intellectual depth of a focused research group.

Notable projects

Highlights from their portfolio

  • HADE
    Largest single grant at EUR 1.67M — an ERC-level project in harmonic analysis and differential equations, demonstrating world-class mathematical capability.
  • 2D-INK
    Coordinator of a EUR 665K project redesigning 2D materials into semiconducting inks — a direct bridge from fundamental materials science to printable electronics manufacturing.
  • SUSPOL
    Coordinated a EUR 744K European Joint Doctorate in sustainable polymers and organocatalysis, showing leadership in training the next generation of green chemistry researchers.
Cross-sector capabilities
Manufacturing — additive manufacturing, process analytics, and polymer scienceDigital — machine learning, big data, cyber-physical systemsEnergy — bulk photovoltaic effect, superconductivity researchSpace — astrobiology, planetary science instrumentation
Analysis note: Profile based on 30 of 141 projects shown in detail; sector distribution and keyword analytics cover the full portfolio. The heavy MSCA weighting (44+ fellowships/networks) means many projects reflect individual researcher interests rather than institutional strategy — the expertise areas represent aggregate patterns rather than a single coordinated research program.