PhD: AI-Driven Catalyst Discovery for CO₂ Reduction

Barcelona Institute of Science and Technology (BIST); Tarragona; Presencial; EUR 19.000 - 25.000; Jornada completa

Descripción de la vacante

Institute of Chemical Research of Catalonia (ICIQ) in Tarragona, Spain seeks a highly motivated PhD candidate to develop earth-abundant electrocatalysts for CO₂ reduction, integrating automated high-throughput experimentation, in-situ analysis and AI-guided decision making.

The project combines catalyst design, AMPER-based electrochemistry, and data science within the RAISE/2AID consortium, offering interdisciplinary collaboration and training across chemistry, robotics and AI.

Formación

• Master’s or equivalent degree completed by enrolment in the PhD program

Responsabilidades

• Design, synthesize and characterize new electrocatalysts for CO₂ reduction to fuels and energy carriers.
• Plan and execute high-throughput catalyst preparation and electrochemical testing with AMPER.
• Integrate real-time electrochemical/analytical data with closed-loop optimization and ML methods.
• Develop reproducible experimental protocols and integrate software/hardware for the workflow.
• Establish structure-activity relationships through electrochemistry, spectroscopy and kinetics.
• Curate machine-readable data and contribute to FAIR data practices, reports and publications.
• Participate in group/consortium meetings and collaborations.

Conocimientos

English proficiency

Motivation for automation & AI

Python programming

Automation

Electronics

Experiment design

Machine learning

Educación

Master’s degree or equivalent in Chemistry/Chemical Engineering/Materials Science or related fields

Herramientas

AMPER platform

Descripción del empleo

Institute of Chemical Research of Catalonia (ICIQ) in Tarragona, Spain seeks a highly motivated PhD candidate to develop earth-abundant electrocatalysts for CO₂ reduction, integrating automated high-throughput experimentation, in-situ analysis and AI-guided decision making.

The project combines catalyst design, AMPER-based electrochemistry, and data science within the RAISE/2AID consortium, offering interdisciplinary collaboration and training across chemistry, robotics and AI.