Research Assistant: Generative AI

University of Oxford
October 18, 2024
Contact:N/A
Offerd Salary:Negotiation
Location:N/A
Working address:N/A
Contract Type:fixed term (funded t
Working Time:Full time
Working type:N/A
Ref info:N/A
Research Assistant: Generative AI

Department of Psychiatry, Warneford Hospital, Oxford OX3 7JX

We are looking to appoint a Research Assistant to join the bioinformatics research group with responsibility for carrying out research in generative AI, applied to mental and cognitive health. Reporting to Dr Andrey Kormilitzin and Dr Nathaniel Gould, you will be joining a friendly and dynamic group of researchers, who come from multiple disciplines such as computer science, mathematics, biology and medicine. You will be encouraged to interact widely with this group, and with further renowned scientists across the department of psychiatry, the big data institute, the drug discovery institute, and the wider University. This will be a great opportunity for you to develop your CV and launch your early career into AI and scientific research.

The post is based in the Department of Psychiatry and is full-time.

The post is for a fixed term (funded to 31 August 2025)

You will be working on a specific project where neural networks are applied to genomics, fluorescent microscopy and proteomics for cell profiling. The project is already ongoing, and the applicant will need to use the code and tools that have already been developed by the team. These include the use of tensorflow, pytorch and python. You will work with large imaging datasets commonly used by the research team and will test the algorithms already developed by the laboratory and improve them on the basis of their performance to recognise drug induced cell morphologies

You will have or be close to the completion of an MSc or equivalent qualification in mathematics, machine learning, LLMs and biomedical image analysis, along with proven experience in stochastic analysis and neural differential equations, and with the development of stable diffusion models. Post qualification research experience would be desirable.

You will be required to upload a supporting statement, a CV, and details of two referees as part of your online application.

The closing date for this post is 12.00 midday 18th October 2024

Contact Person : HR Administrator Vacancy ID : 175564 Contact Phone : 01865 618204 Closing Date & Time : 18-Oct-2024 12:00 Pay Scale : STANDARD GRADE 6 Contact Email : [email protected] Salary (£) : 33832 - 36480

From this employer

Recent blogs

Recent news