Research Associate in Generative AI for Biological Systems

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. 

As this role involves research at a postgraduate level, applicants who are not an EEA national or a national of an exempt country and who will require sponsorship under the Skilled Worker route of the UK Visas and Immigration’s (UKVI) Points Based System in order to take up the role, will be required to apply for an Academic Technology Approval Scheme (ATAS) Certificate and will need to obtain this prior to making any official visa application UKVI). 

What you will get in return: 

Fantastic market leading Pension scheme

Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit. 

Our University is positive about flexible working – you can find out more here 

Hybrid working arrangements may be considered. 

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies. 

Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk. 

Any CVs submitted by a recruitment agency will be considered a gift. 

Enquiries about the vacancy, shortlisting and interviews: 

Name: Professor Magnus Rattray

Email: magnus.rattray@manchester.ac.uk 

General enquiries:

Email: People.recruitment@manchester.ac.uk 

Technical support:

jobseekersupport.jobtrain.co.uk/support/home  

This vacancy will close for applications at midnight on the closing date.

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