About the project
Based at the University of Essex (UoE) with a 1.5 year industry-placement as a Visiting Research Student within Cross Labs, Japan, this PhD project will achieve new insights into animal bio-acoustic signalling and potential industrial applications, using new development and applications of machine learning, including attentional AI.
In turn, the insights gained through these new biological applications will be assessed for novel machine learning developments, such as the classification of human voices and analysis and use of multi-layered signals.
The project will benefit from preliminary resource development including computer code for machine learning from bioacoustic images (spectrograms). Biological data resources for the project will include test datasets of acoustic recordings of marine mammal cetaceans (whales and dolphins).
Supervision and training
Project supervision will be provided by Dr Jennifer Hoyal Cuthill (University of Essex) and Dr Olaf Witkowski (Cross Compass, Cross Labs), with additional input from project collaborators.
The PhD candidate will be registered at the University of Essex, with full funding available for UK home student tuition fees and a full UK stipend while at Essex.
As an integral part of the PhD, the student will also undertake a fully funded, 1.5 year placement within Cross Labs, an AI research institute within the company Cross Compass Ltd., Japan (with offices in Kyoto and Tokyo).
Cross Labs is experienced in hosting visiting students and will offer a range of support to the student. This includes additional financial support, relative to a standard UK PhD studentship, with an enhanced stipend for the time in Japan.