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Published: 28 Jun 2022 529 views
The Artificial Intelligence Research Group at the University of Sussex is looking for a Research Fellow to work on two projects: the Innnovate UK funded project MeeTooSaives; and the Horizon 2020 funded project eCharge4Drivers.
MeeTooSaives is a collaboration with MeeToo Education Ltd and Bristol University Medical School. The MeeToo app delivers free, safe, anonymous, pre-moderated, peer support to 56k children and young people in the UK. The MeeTooSaives project aims to integrate Machine Learning and Natural Language Processing into the app in order to interrogate all data, rather than a specifically high-risk subset, to identify risk patterns, analyse semantic content and predict risk. Crucially, NLP will be used to extend support options, but integrating smart links to topic-matched resources. This is a research-intensive role with high publication potential in the rapidly developing field of humane and ethical Articificial Intelligence.
eCharge4Drivers is an EU-funded project that aims to improve the Electric-Vehicle charging experience. Our contribution to this large project concerns an analysis, using NLP methods, of online discussions relating to electric vehicle charging on various social media platforms.
The University of Sussex is a leading research-intensive university near Brighton. We have both an international and local outlook, with staff and students from more than 100 countries and frequent engagement in community activities and services.
| Application Deadline | 30 Jun 2022 |
| Country to study | United Kingdom |
| School to study | University of Sussex |
| Type | PhD |
| Sponsor | University of Sussex |
| Gender | Men and Women |
The University of Sussex will award the selected candidates the research fellow position on the mentioned projects with a salary of £33,797 to £40,322 per annum.
This post is suited to a highly motivated individual with excellent scientific and technical skills, and a willingness to publish in high profile venues. The candidate should have significant experience in natural language processing, machine learning and knowledge representation as well as a willingness to operate in a dynamic research environment within an international team.
Candidates should have a PhD in computer science or an equivalent field, combined with a strong background in natural language processing and machine learning. The candidates should have demonstrable experience in python programming and knowledge of various libaries used by the community e.g., pytorch, tensorflow and huggingface.
Background.The AI Research Group at the University of Sussex was created through the merger of the Evolutionary and Adaptive Systems (EASy) and the Data Science groups. We conduct research and teach a wide range of AI related topics, often cross-disciplinary and with a unique Sussex angle. We collaborate internationally and locally with academics, businesses and public stakeholders, working at the frontiers of knowledge, on solving real-world problems, and in policy and public outreach. Dr Weeds co-directs The Data Intensive Science Center, University of Sussex (DISCUS) with Prof Oliver in the School of Mathematics and Physics. DISCUS is concerned with the application of modern Data Science and Machine Learning to real world problems and research in other disciplines.
Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.
Email your completed application, and personal details and equal opportunities form, to [email protected]
You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.