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- Research Fellow in Soundscape Modelling
- Bartlett School Env, Energy & Resources
- Faculty of the Built Environment
Dr. Andrew Mitchell joined UCL in October 2018 as one of four PhD students on the ERC Advanced Grant funded project "Soundscape Indices (SSID)". He recently finished his PhD at IEDE and has begun a Research Fellowship in the same team to continue their work developing tools and methods for designing better sounding cities.
Andrew earned his BSc (Hons) in Physics & Music at Cardiff University from 2012-2015. Andrew worked as an acoustical consultant dealing with noise impacts from wind farms in Wales and England before moving to Los Angeles to focus on environmental and architectural acoustics. Throughout his PhD he has continued working with engineering consultancies, including London-based Hoare Lea, to bring a more holistic soundscape approach in the acoustics engineering and design. Andrew's research is highly collaborative, resulting in him working and publishing with teams at Stockholm University, University of Granada, La Salle URL (Barcelona), and Université Gustave Eiffel.


Andrew Mitchell is a Research Fellow in urban soundscape modelling at University College London (UCL). His research interests include soundscape analysis and visualisation, machine learning, and human perception of complex sounds. Andrew is particularly focussed on making soundscape a viable method for engineering and design of cities through the development of a predictive soundscape model. He is also dedicated to open science, having published several openly-available datasets and developing open source software for soundscape analysis.
Andrew has been awarded two PhD and one Post-doctoral Enrichment Awards from The Alan Turing Institute and spent a month in early 2022 as a visiting research fellow at Stockholm University. His ongoing projects include the Soundscape Indices (SSID) Horizon 2020 project, Soundscapy, Deep Learning Techniques for noise Annoyance detection (DeLTA), AI for Urban Soundscape Enhancement (AI USE), the Catalogue of Soundscape Interventions (CSI), and the Soundscape Attributes Translation Project (SATP).
As a PGTA and then as a Research Fellow at UCL IEDE Andrew is engaged in providing programming and machine learning support for several modules as well as teaching for acoustics related modules with a focus on real-world application and practice.
PhD | Soundscapes and Machine Learning | ||
BSc Hons | Physics & Music |