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Fully Funded PhD in Machine Learning, Automated Synthesis and Antibiotic Discovery at the University of York University of York in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded 4-year PhD studentship through the EPSRC Centre for Doctoral Training in Chemical Synthesis for a Healthy Planet (CSHP CDT).
Deadline
Nov 13, 2026
Country
United Kingdom
University
University of York

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About this position
Fully funded PhD opportunity at the University of York in the Frei Lab, working in collaboration with the INEOS Oxford Institute for Antimicrobial Research. This interdisciplinary studentship sits within the EPSRC Centre for Doctoral Training in Chemical Synthesis for a Healthy Planet (CSHP CDT) and combines machine learning, automated synthesis, robotics, antibiotic discovery, and inorganic chemistry.
The project focuses on developing metal-based antibiotics using sustainable high-throughput chemistry, miniaturised synthetic workflows, target-based screening, and data-driven molecular design. The successful PhD student will work across experimental and computational approaches, including automated synthesis of metal complexes, screening against bacterial target proteins involved in cell-wall biosynthesis, machine-learning-guided library design, and testing compounds against whole bacterial cells.
The studentship includes dedicated training in modern synthesis, sustainability, data science, and professional development, alongside a wider PhD cohort in the CDT. Applicants of all nationalities are welcome. The post is advertised as a fully funded 4-year PhD.
Deadline: 13 November 2026.
How to apply: Submit your application through the official application portal only and include all required documents. Email applications will be ignored. Use the application link for full details and portal instructions.
Funding details
Fully funded 4-year PhD studentship through the EPSRC Centre for Doctoral Training in Chemical Synthesis for a Healthy Planet (CSHP CDT).
What's required
Applicants should be excited by interdisciplinary research and interested in combining experimental chemistry with automation and computational approaches. The post welcomes applicants of all nationalities. No specific degree, GPA, or language-test requirement is stated in the post.
How to apply
Apply through the official application portal only and submit all required documents. Email applications will not be considered. Use the full details/application information link for the portal and instructions.
More information can be found here
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