Research Associate in Generative AI for Biological Systems

Job title:

Research Associate in Generative AI for Biological Systems

Company

University of Manchester

Job description

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 moreHybrid 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 .Any CV’s submitted by a recruitment agency will be considered a gift.Please note, under the new immigration rules this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.Enquiries about the vacancy, shortlisting and interviews:Name: Professor Magnus RattrayEmail:General enquiries:Email:Technical support:This vacancy will close for applications at midnight on the closing date.Please see the link below for the Further Particulars document which contains the person specification criteria.

Expected salary

Location

Manchester

Job date

Sat, 17 Aug 2024 07:08:08 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.