Postdoctoral Research Associate or Research Assistant

About the Role 

The term “Artificial Neuroscience” conveys the influence of paradigms from conventional neuroscience on Deep Learning research. This position explores the use of Linear Algebra (e.g. tensor decomposition) to measure and understand the learning and inference processes of DL “artificial brains’, using this to engineer new, efficient ways to (re-)build those models. These models will consume less energy, train faster and more accurately, need less data and be deployable in smaller devices. Your contribution includes novel research, production of training materials, planning future research proposals and collaborating with external partners. 

About You 

Your PhD (or equivalent for PDRA; MSc for RA) topic makes you familiar with Linear Algebra and Deep Learning. Experience in Digital Signal Processing will be advantageous. Ideally, you’ll understand music technology and/or audio engineering, because the project will apply novel techniques to Neural Audio, ie DL for audio and music. 

About the School of EECS 

Our researchers work with the arts and sciences collaborating with psychologists, biologists, musicians and actors, mathematicians, medical researchers, dentists and lawyers. As a multidisciplinary School, we are well known for our pioneering research and pride ourselves on our world-class projects. We are equal first in the UK for the impact of our Computer Science research, and second in the country for our Electronic Engineering research output (REF 2021). 

About Queen Mary 

Throughout our history, we’ve fostered social justice and improved lives through academic excellence and we embrace diversity of thought in everything we do. We believe that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. 

Benefits 

We offer competitive salaries, pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements and campus facilities. 

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.  

Please state clearly on your application the role for which you are applying. 

Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers should not be provided at this stage. 

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