Temporary RA position in the Dept of Computer Science: AI in Dementia Care
Temporary RA position to explore self-supervised learning tasks for synchronisation of multimodal physiological signals and analysis of physiological signatures of dementia
Project start date: Flexible (starting date between 12th July and 6th September 2021)
Post duration: Part-time (2 days a week for about 30 weeks) or Full-time (for about 12 weeks)
Salary range: £16.57 - 18.93 (hourly rate including London allowance)
It would suit someone who holds a PhD (eg. part-time Research Fellow or one who is looking for a short-term position) or is currently a PhD student.
We are looking for a research fellow (or research assistant) in machine learning. The aim of the project is to explore self-supervised learning tasks for synchronising multimodal physiological signals from multiple independent sensing channels (including blood volume pulse, galvanic skin response, pupillary response) and develop a model for dementia type classification. Working on an existing dataset, the researcher will be asked to analyse the physiological signals and extract possible features (using existing metrics) and develop machine learning models for synchronisation and classification. The researcher will work closely with the investigators and there will be chances for getting trained in using physiological data.
Deliverables: Pre-processing of physiological data, machine learning models for synchronisation and multi-label classification, post-feature analysis and benchmarking, basic ablation study.
Line Manager: Youngjun Cho (UCLIC/GDI)
Collaborators (other investigators): Nadia Berthouze (UCLIC), Ivana Drobnjak (CMIC), Keir Yong (Institute of Neurology), James Cole (CMIC)
Skill set required:
- Extensive knowledge of ML frameworks, data modelling and architecture
- Understandings of characteristics of time-series data and spectrogram
- 2+ years of experience coding in Python
- Experience with Tensorflow or PyTorch
- Team player (communicating effectively with investigators and others).
Please send a half-page statement to Dr Youngjun Cho outlining why you are interested in the role and how you have the skill set required.
Closing date: 12th July 2021
Online interview: Sometime following week
Salary: Grade 7 for Research Fellow / Grade 6 for Research Assistant