Research Associate in Generative AI for Biological Systems

at  The University of Manchester

Applicants are invited for the post of Postgraduate Research Associate in Generative Artificial Intelligence (AI) for Biological Systems. Generative models have been successfully applied across a broad range of biological systems. Recent applications have included modelling single-cell gene expression, biological sequences (protein, DNA and RNA), and microscopy images/movies.
The post-holder will develop probabilistic machine learning approaches for one or more of these data modalities. In the context of biology there are several challenges to applying generative models, e.g. uncovering causal relationships, incorporating prior knowledge, dealing with experimental variability, and fine-tuning of pre-trained models for specific applications. In this project we are particularly interested in using models to make decisions, e.g. to design further experiments, in which case it is important to associate model-based inferences with well-calibrated uncertainties.
The post is part of the UKRI-funded “AI hub in generative models” involving seven Universities and several partner organizations. The overall aim of the hub is to develop tools that industry, science and government can use to build responsible generative models to benefit the economy and society.
The successful applicant will have a PhD with a significant computational and/or statistical element and will have recent experience of probabilistic modelling and/or machine learning. A strong interest in biology is essential. The candidate should have a good scientific publication record given career stage and be self-motivated, hard-working and able to work in a team.