PhD in High-Pressure Microfluidics for CCUS

ÉCOLE SUPÉRIEURE DE PHYSIQUE ET DE CHIMIE INDUSTRIELLES DE LA VILLE DE PARIS - PSL; France; Sur place; EUR 23 000 - 27 000; Plein temps

Résumé du poste

The PRISM PhD programme at Paris Sciences & Lettres University offers up to 14 fully funded PhD fellowships starting from 1 March 2027 in a cutting-edge environment at PSL. Fellows work on CCUS-related microfluidic platforms, combining high-pressure experiments, in situ Raman spectroscopy, and machine-learning analysis.

Candidates should have a strong background in physics, physical chemistry, chemical engineering, materials science or microfluidics, with experience in experimental work and data

Qualifications

• The candidate should have a strong background in physics, physical chemistry, chemical engineering, materials science, microfluidics or process engineering.
• Experience with experimental work, spectroscopy, high-pressure devices, image analysis, data treatment or machine learning will be appreciated.
• Programming skills in Python, Matlab, LabVIEW, COMSOL or equivalent tools would be useful.

Responsabilités

• Develop a robust high-pressure microfluidic platform for CCUS studies under controlled conditions.
• Collaborate on online monitoring of solvent loading and CCUS processes using spectroscopic data and machine-learning models.
• Engage in international secondments and industry collaborations to connect research with practical decarbonization challenges.

Formation

Master’s degree or equivalent

Outils

Python

Matlab

LabVIEW

COMSOL

Description du poste

The PRISM PhD programme at Paris Sciences & Lettres University offers up to 14 fully funded PhD fellowships starting from 1 March 2027 in a cutting-edge environment at PSL. Fellows work on CCUS-related microfluidic platforms, combining high-pressure experiments, in situ Raman spectroscopy, and machine-learning analysis.

Candidates should have a strong background in physics, physical chemistry, chemical engineering, materials science or microfluidics, with experience in experimental work and data