Postdoctoral Researcher in Artificial Intelligence for Ecoacoustics

at  University of Oxford

We are seeking to appoint a Research Associate in AI with a specialism in Deep Learning. The Research Associate will engage in internationally leading research in the development of AI and machine learning algorithms for ecoacoustic data analysis. No prior experience in ecoacoustics analysis is required and candidates with deep learning algorithms from fields such as computer vision or natural language processing are encouraged to apply.
This position offers an exciting opportunity to contribute to cutting-edge research at the intersection of biology, acoustics, and AI. The researcher will be working as part of a large interdisciplinary team that spans different departments and research programmes, whose goal is to determine how to best monitor the effectiveness of nature recovery in the UK and the tropics. This position offers competitive compensation, comprehensive benefits, and opportunities for professional growth and career advancement in a stimulating and supportive work environment dedicated to advancing scientific knowledge and innovation in ecoacoustics and artificial intelligence.
The post holder will be part of the Leverhulme Centre for Nature Recovery, where their advances in ecoacoustic AI will be exploited for understanding and mapping nature recovery. An initial focus of this work will be on the biodiversity and ecosystem outcomes of restoration efforts in the two case study landscapes of Oxfordshire and Kenya, while also drawing on wider evidence and case studies across the UK. Later years of the work may also expand this work to further case studies in the tropics. This work will be in close collaboration with colleagues in ecology, stakeholders and international partners who will collect data and guide AI requirements in order to incorporate state-of-the-art AI approaches into nature recovery.As the PDRA (Postdoctoral Researcher), your main activities will involve managing academic research, including coordinating multiple aspects of work to meet deadlines and desired goals. This will involve designing, developing and testing AI algorithms, working with researchers from different disciplines, stakeholders and project partners to ensure produce efficacy. You will also be responsible preparing manuscripts for submission to peer reviewed journals. You may also have opportunities to co-supervise Masters and PhD projects. The projects you will be working on are interdisciplinary and so the ability to work collaboratively across disciplinary boundaries is essential.
The successful candidate must hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate discipline with specialisation in deep learning. You will have excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.
Applications for this vacancy are to be made online. You will be required to upload a CV and supporting statement as part of your online application. The closing date for applications is 12 noon on Tuesday 7 May 2024, and interviews will be held on Friday 17 May 2024

Please refer the Job description for details