Postdoc: Generative AI & Digital Twins Research

Earlham Institute; Norwich; Hybrid; GBP 39,000 - 47,000; Full time

Job summary

The Earlham Institute invites applications for a Postdoctoral Research Scientist in Generative AI & Digital Twins, based in Norwich, UK. You will advance GenAI/ML methods for rare-disease Digital Twins, collaborating with EMBL-EBI and Open Targets, and interact with a multi-disciplinary team.

You will work on generative modelling, multimodal learning, representation learning and uncertainty-aware AI systems to connect learned representations to executable models within a Chan Zuckerberg

Qualifications

• PhD awarded or expected within 6 months, or equivalent research experience in AI/ML/related field.
• Demonstrate high motivation and alignment with project aims to ensure success.

Responsibilities

• Develop and advance GenAI/ML methods for biological representation learning.
• Integrate AI/ML with hybrid mechanistic-Digital Twins and executable models.
• Conduct rigorous evaluation including calibration and robustness in data-scarce settings.
• Prepare manuscripts and contribute to grant proposals and collaborations.

Skills

Python

Deep learning

Transformers

VAEs

Multimodal learning

Uncertainty quantification

Education

PhD in AI/ML or related

Tools

PyTorch

JAX

TensorFlow

Job description

The Earlham Institute invites applications for a Postdoctoral Research Scientist in Generative AI & Digital Twins, based in Norwich, UK. You will advance GenAI/ML methods for rare-disease Digital Twins, collaborating with EMBL-EBI and Open Targets, and interact with a multi-disciplinary team.

You will work on generative modelling, multimodal learning, representation learning and uncertainty-aware AI systems to connect learned representations to executable models within a Chan Zuckerberg