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Earlham Institute

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Postdoctoral Research Scientist / Senior Postdoctoral Research Scientist in Generative AI and Closed-loop Discovery Earlham Institute in United Kingdom

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 4, 2026

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Country

United Kingdom

University

Earlham Institute

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Keywords

Computer Science
Biomedical Engineering
Biology
Mathematics
Computational Biology
Reinforcement Learning
Optimisation
Statistics
Biophilic Design
Bioinformatic
Machine learning

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About this position

Postdoctoral Research Scientist / Senior Postdoctoral Research Scientist in Generative AI and Closed-loop Discovery at the Earlham Institute, Norwich, United Kingdom.

This opening sits in Professor Ke Li’s AI for Biology Group and focuses on developing new generative AI methods for biological design, closed-loop discovery, and AI-guided design-build-test-learn workflows. The group is part of a newly established AI for Biology programme building on an established and well-funded research agenda in fundamental AI, AI co-scientists, and scientific discovery.

The successful candidate will work on multimodal, cross-organism, experimentally grounded AI systems that learn from biological data, support hypothesis generation, guide experimental design, and accelerate discovery across the institute’s research programmes and technology platforms. The role emphasizes original method development rather than simply applying existing tools, with opportunities to publish high-impact research and contribute to future funding applications.

Applicants should have a PhD awarded or expected within 6 months in Computer Science, AI, Machine Learning, Computational Biology, Mathematics, Statistics, Physics, Engineering, or a related quantitative discipline. Strong Python programming skills and experience with PyTorch, JAX, or TensorFlow are required, together with expertise in generative modelling, reinforcement learning, Bayesian optimisation, active learning, uncertainty quantification, causal modelling, or optimisation in complex search spaces. Experience at the interface of AI and biology is advantageous, including biological foundation models, sequence design, genomics, single-cell data, synthetic biology, or drug discovery. For the senior level, experience in closed-loop or active experimental design and stronger evidence of independent research leadership are expected.

The post is full-time for 36 months with possible extension. Salary is £39,000–£46,500 per annum at SC6 or £47,450–£52,560 per annum at SC5, depending on qualifications and experience. The role meets visa application criteria.

Apply via the Earlham Institute jobs portal and quote reference 1006143. For further information, contact nbi.recruitment@nbi.ac.uk or 01603 450814. Closing date: 4 September 2026.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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