People-centred multimodal perception
We are seeking excellent candidates to advance core AI research in the area of people-centred multimodal perception machines.
Start date1 July 2022
Funding sourceSurrey Institute for People-Centred Artificial Intelligence
A stipend of £15,609 for 2021/22, which will increase each year in line with the UK Research and Innovation (UKRI) rate, plus Home rate fee allowance of £4,500 (with automatic increase to UKRI rate each year). For exceptional international candidates, there is the possibility of obtaining a scholarship to cover overseas fees.
This project aims to develop fundamental machine learning and AI techniques with multimodal perception abilities to ingest large-scale and heterogenous information data. The objective is to enable a machine system to draw the underlying/latent intelligence and knowledge predictive for the future via interpreting and reasoning about abundant multimodal information sources, reminiscent of human perception but at the level of scalable machine computing. A potential topic (not limited to) is AI journalism which consumes 24/7 social media streams at scale to provide useful insights with enormous positive social and human wellbeing impact. The fundamental people-centred factors (e.g., fairness, accountability, transparency, and ethics) will be well considered.
Candidates with a strong mathematics background, machine learning, programming skills, and relevant research experience including peer-review-based publication are preferred.
All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average) and a strong interest in pursuing research in this field. Additional experience which is relevant to the area of research is also advantageous.
IELTS requirements: IELTS 6.5 or above (or equivalent) with no sub-test of less than 6.
This studentship is open to UK, EU and international students.
How to apply
Applications should be made through our Vision Speech and Signal Processing PhD programme page on the "Apply" tab. Please clearly state the studentship title and supervisor on your application.
Vision, Speech and Signal Processing PhD