Skip to main content

Research Assistant in Artificial Intelligence and Sleep

We are seeking to appoint a highly motivated postgraduate or postdoctoral Research Assistant in Artificial Intelligence (AI) and Sleep, to work within the Surrey Sleep Research Centre at the University of Surrey.

This full-time post is available on a fixed term basis for 12 months. The Research Assistant will work under the supervision of Dr Ullrich Bartsch and in collaboration with the Prof Paul Gringras at the Evelina Children’s Hospital and King’s College London.

The role

You will be part of an interdisciplinary team of researchers with the main aim to develop the next generation of AI models to predict severe sleep disorders, such as narcolepsy, from signals collected using wearable devices including electroencephalography (EEG).

This will require expertise in time series analysis and feature engineering using multimodal timeseries, with a focus on EEG signals. Additionally experience in using different deep learning architecture for time series classification would be beneficial.

A second goal of the project is to develop the concept of a frontend for the dissemination of model generated predictions to clinical teams. Experience in frontend development and inclusion of user feedback into deep learning architectures using reinforcement learning or a or related technologies would be advantageous

You will be part of a vibrant research environment within the Surrey Sleep Research Centre at the University of Surrey – and included in the University-wide Institute for People-Centred Artificial Intelligence (PAI). Your work will involve leading, devising, coordinating, and supervising research projects, including the work involved in the collaborations with project partners, guidance to researchers and students, and applying for further funding to extend the research.

About you

You should hold a relevant postgraduate degree (Master’s) and/or hold a PhD/DPhil or be near completion of a PhD/DPhil - with experience in the field of computer science, maths, biomedical engineering, or other fields relevant to the proposed area of research. Proven programming experience in Python, MATLAB or C/C++ is essential. Expertise in the analysis of time series data such as the Electroencephalogram (EEG) and/or analysis of data recorded by wearable devices would be highly advantageous.

What we can offer

In addition to salary, you will receive a yearly incremental pay rise, a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Further Information

To apply please submit a CV and cover letter outlining your suitability for the position.

Informal enquiries may be addressed to Dr Ullrich Bartsch (u.bartsch@surrey.ac.uk).

Interviews are scheduled to be held 24th and 25th October.

For more information about working at the Surrey Sleep Research Centre, see  https://www.surrey.ac.uk/surrey-sleep-research-centre

And the Surrey Institute for People-Centred Artificial Intelligence see https://www.surrey.ac.uk/artificial-intelligence

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  We therefore particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.

Further details
Job Description
Share:

View All Vacancies

Job Details
Department
Surrey Sleep Research Centre
Location
Guildford
Salary
£33,882 to £35,880 per annum
Fixed Term (- Oct 25)
Post Type
Full Time
Closing Date
23.59 hours BST on Wednesday 16 October 2024
Reference
047924
Login

Login

Forgotten Details

Register

Logo: Gender Charter - Athena Swan Silver Award
Logo: Race Equality Charter - Bronze Award
Logo: Disability Confident Committed