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QS Rank:

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8

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University College London

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London

United Kingdom

Overview

Title: Machine-Learning-Guided Evolution of Formolase (FLS) for High-Efficiency CO2 Utilisation/nInstitution: University College London/nDepartment: Department of Chemistry/nSupervisors: Dr. Michele Crotti (UCL Chemistry); Dr. Pan Yuangang (A*STAR, Institute of High-Performance Computing IHPC, Singapore)/nSupervisor (listed): Dr MC Crotti/nProgram type: PhD Research Project/nFunding: Competition Funded PhD Project (European/UK Students Only)/nDeadline: 15 March 2026/nCountry: United Kingdom/nSource URL: https://www.findaphd.com/phds/project/machine-learning-guided-evolution-of-formolase-fls-for-high-efficiency-co2-utilisation/?p193383

Ranking

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#16

US World and News Report

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#18

The World University Rankings

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#8

QS World University Rankings

Class Profile

Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

      Application Deadlines

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      springMar 15, 2026

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