Research Assistant
Queen Mary University of London - School of Electronic Engineering and Computer Science
| Location: | London |
|---|---|
| Salary: | £37,472 to £38,082 per annum (pro rata). |
| Hours: | Part Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 21st February 2025 |
|---|---|
| Closes: | 17th March 2025 |
| Job Ref: | 5313 |
About the Role
Applicants are invited for a Research Assistant or Postdoctoral Research Assistant 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 Platform Driving The Ultimate Connectivity (TITAN).
About You
Candidates must have completed an undergraduate degree in Computer Science/Electronic Engineering (or equivalent). Candidates should have 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, access to a generous 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, campus facilities and flexible working arrangements.
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 are open to considering applications from candidates wishing to work flexibly.
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