EPSRC/ UK Acoustics Network Plus funded pilot: Toward a Measure of Soundscape Dynamical Acoustic Complexity using Causal Analysis and AI
A full time, 6 month Postdoctoral Research Fellow position is available to work at the forefront of Computational Ecoacoustics as part of a pilot project investigating the potential for dynamical complexity metrics in the ecological assessment of natural soundscapes. The exploratory nature of this project offers the opportunity to have strong creative input, and – if successful – the project has the potential to develop into a major research endeavour in the future.
Context: Monitoring, understanding, and predicting the integrity of our planetary biosphere is the most critical sustainability issue of our time. The emerging science of ecoacoustics points to the exciting possibility that eavesdropping on ecosystems can provide a cost-effective solution. The soundscape is a highly dynamic pattern of acoustic energy, which emerges from the interaction of the sounds of organisms, geophysical and technological processes. Current approaches in computational ecoaoustics are extremely simple, precluding investigation of these rich spatio-temporal dynamics, and how they may relate to ecosystem health and integrity. However, emerging methods in complexity science point to exciting new possibilities.
Your role: You will bring strong mathematics and computing skills and a rigorous, experimental approach to a multidisciplinary team of pioneering researchers across ecoacoustics, complexity science, neuroscience, AI and music to investigate the potential of new and emerging information-theoretic complexity measures as new acoustic ecological assessment tools for applied conservation.
Working on the EPSRC-funded pilot project “Toward a Measure of Soundscape Dynamical Acoustic Complexity using Causal Analysis and AI”, you will collaborate with the research team to carry out pioneering research and co-author high quality peer reviewed publications.
Situated within a world-leading research environment of the AI Research Group in the school of Engineering and Informatics at the University of Sussex, you will have ample opportunities to engage with and contribute to a vibrant research environment nourished by activities of groups including the Sackler Centre for Consciousness Science, the Predictive Analytics Lab and the Sussex Humanities lab.
For an informal discussion of the post, please contact Alice Eldridge, Reader in Sonic Systems, in the first instance by email at: alicee@sussex.ac.uk
Context: Monitoring, understanding, and predicting the integrity of our planetary biosphere is the most critical sustainability issue of our time. The emerging science of ecoacoustics points to the exciting possibility that eavesdropping on ecosystems can provide a cost-effective solution. The soundscape is a highly dynamic pattern of acoustic energy, which emerges from the interaction of the sounds of organisms, geophysical and technological processes. Current approaches in computational ecoaoustics are extremely simple, precluding investigation of these rich spatio-temporal dynamics, and how they may relate to ecosystem health and integrity. However, emerging methods in complexity science point to exciting new possibilities.
Your role: You will bring strong mathematics and computing skills and a rigorous, experimental approach to a multidisciplinary team of pioneering researchers across ecoacoustics, complexity science, neuroscience, AI and music to investigate the potential of new and emerging information-theoretic complexity measures as new acoustic ecological assessment tools for applied conservation.
Working on the EPSRC-funded pilot project “Toward a Measure of Soundscape Dynamical Acoustic Complexity using Causal Analysis and AI”, you will collaborate with the research team to carry out pioneering research and co-author high quality peer reviewed publications.
Situated within a world-leading research environment of the AI Research Group in the school of Engineering and Informatics at the University of Sussex, you will have ample opportunities to engage with and contribute to a vibrant research environment nourished by activities of groups including the Sackler Centre for Consciousness Science, the Predictive Analytics Lab and the Sussex Humanities lab.
For an informal discussion of the post, please contact Alice Eldridge, Reader in Sonic Systems, in the first instance by email at: alicee@sussex.ac.uk
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Posted on 18th March 2022 in Mathematical Analysis in Acoustics, Bioacoustics (SIGBio), Noise, Early Career, Computational Acoustics, Noise and Soundscape, Job Opportunities in Acoustics