RFCSR

A leading academic institution in London seeks a Postdoctoral Research Assistant in Digital Media and Society. This role involves conducting independent and collaborative research, analyzing data, and contributing to academic outputs. The ideal candidate holds a PhD or is near completion in a relevant discipline, with strong analytical and communication skills. Teaching support may be involved, providing a vibrant academic environment focused on research excellence and societal impact.

Postdoctoral Research Assistant in Digital Media and Society Queen Mary University of London - School of Electronic Engineering and Computer Science London, United Kingdom General Description Queen Mary University of London is seeking to appoint a Postdoctoral Research Assistant in Digital Media and Society to join the School of Electronic Engineering and Computer Science on a fixed-term basis. This role offers an exciting opportunity to contribute to interdisciplinary research examining the societal impacts of digital media, platforms, and emerging technologies. The successful candidate will work closely with academic investigators on a funded research project, contributing to the design and delivery of innovative research exploring digital ecosystems, online behaviour, and the interaction between technology and society. Responsibilities include conducting independent and collaborative research, collecting and analysing qualitative and/or quantitative data, contributing to the development of research outputs, and supporting dissemination through academic publications, reports, and presentations. The role also involves engaging with project partners, contributing to research meetings and workshops, and supporting broader research activities within the School. The postholder may contribute to teaching-related activities, including supporting student learning and supervision where appropriate. Queen Mary University of London provides a vibrant, inclusive academic environment with a strong commitment to research excellence and societal impact. Eligibility Criteria A PhD (or near completion) in a relevant discipline such as digital media, communication studies, computer science, sociology, or a related field Demonstrated experience in conducting high-quality academic research Ability to work both independently and collaboratively within a research team Required Expertise/Skills Strong analytical skills, including experience with qualitative and/or quantitative research methods Knowledge of digital media platforms, online communities, or technology and society research Experience in data collection, management, and analysis Excellent written and verbal communication skills Ability to contribute to academic publications and research dissemination Strong organizational and time-management skills Salary Details £36,572 - £39,355 per annum (Grade 4)

PhD Studentship in Environmental Intelligence: AI for Climate and Health University of Exeter Exeter, United Kingdom General Description The University of Exeter is offering a fully funded PhD studentship in Environmental Intelligence, focusing on the application of artificial intelligence to address challenges at the intersection of climate change and human health. This interdisciplinary project is part of Exeter's Environmental Intelligence research initiative, which integrates expertise in data science, environmental science, and health research. The studentship will involve developing advanced AI and machine learning models to analyse complex environmental and health datasets. The research aims to generate insights into how environmental changes influence human health outcomes and to support the development of predictive tools for policy and decision making. The successful candidate will be based within a dynamic and collaborative research environment, benefiting from access to world class facilities and supervision from leading experts across multiple disciplines. The programme includes advanced research training, opportunities for interdisciplinary collaboration, and engagement with external stakeholders. The studentship covers tuition fees and provides a tax free stipend at the UKRI rate for the duration of the programme. Additional funding may be available to support research costs, training, and conference attendance. Eligibility Criteria Applicants should hold, or be expected to obtain, a first class or upper second class honours degree (or equivalent) in a relevant discipline such as Data Science, Computer Science, Environmental Science, Mathematics, Statistics, or a related field. A Master's degree in a relevant subject is desirable but not essential. International applicants are eligible, subject to meeting English language requirements. Required Expertise/Skills Strong quantitative and analytical skills. Experience or interest in machine learning, artificial intelligence, or data science. Programming experience (e.g., Python, R, or similar). Interest in environmental science, climate change, or health related research. Ability to work independently and collaboratively in an interdisciplinary setting. Strong communication and research skills. Salary Details Fully funded studentship. Tuition fees covered (Home and eligible International candidates).