Location: | London |
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Salary: | £37,472 to £49,363 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 18th February 2025 |
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Closes: | 6th March 2025 |
Job Ref: | 5246 |
About the Role
Applicants are invited for a Postdoctoral Research Associate position in machine learning for wireless networks in the School of EECS at the Queen Mary University of London. The role will be part of an EPSRC-funded project on Smart Solutions Towards Cellular-Connected Unmanned Aerial Vehicles System (AUTONOMY). This is a joint project among King’s College London and University of Southampton, with industrial partners, such as Ericsson, Accelercomm and Toshiba.
About You
Candidates must have completed an undergraduate degree in Computer Science/Electronic Engineering (or equivalent). Applicants at the PDRA level must have a PhD in Electric/Electronic Engineering. As well as experience in conducting research, wireless communication, and research experience in communications and/or signal processing. Good knowledge of designing or evaluating interactive hardware or software systems is desirable.
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 including an on-site nursery at the Mile End campus.
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.
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