PhD: Multi-Modal MRI in Porous Media

ETH Zurich; Zürich; On-site; CHF 65,000 - 85,000; Full time

Job summary

ETH Zurich Geothermal Energy & Geofluids (GEG) Group invites applications for a PhD position focused on developing and applying multi-modal magnetic resonance techniques (NMR/MRI, EPR-MRI, DNP) to study chemical and physical processes in porous media. The project combines advanced instrumentation, computational modeling, and field analyses to address energy and geoscience challenges.

The role requires a strong background in chemistry/physics/engineering, fluency in English, and interest in

Qualifications

• Background in chemistry, physics, engineering, or similar.
• Strong interest in interdisciplinary research bridging chemistry, physics, geochemistry, geomechanics, microbiology, and energy science.
• Experience with liquid- or solid-state NMR, MRI, or EPR.
• Familiarity with analytical tools such as X-ray diffraction (XRD), scanning electron microscopy (SEM), X-ray computed tomography (XRCT).
• Experience in designing and performing high-temperature and high-pressure in-situ experiments is advantageous.
• Fluency in English (written and spoken).

Responsibilities

• Developing new methods and techniques in NMR/MRI, pulsed-EPR-MRI, and DNP.
• Characterization of radical centers in natural rock samples with EPR spectroscopy and imaging.
• Understanding DNP in porous media both with exogenous and endogenous radical sources.
• Studying selected applied chemical and physical processes in porous media including multicomponent fluid flow, rock fracturing chemistry, and geochemical tracking.

Skills

NMR/MRI/EPR experience

Interdisciplinary research

English fluency

High-temperature & high-pressure in-sI

Tools

XRD

SEM

XRCT

Job description

ETH Zurich Geothermal Energy & Geofluids (GEG) Group invites applications for a PhD position focused on developing and applying multi-modal magnetic resonance techniques (NMR/MRI, EPR-MRI, DNP) to study chemical and physical processes in porous media. The project combines advanced instrumentation, computational modeling, and field analyses to address energy and geoscience challenges.

The role requires a strong background in chemistry/physics/engineering, fluency in English, and interest in