Research Assistant or Postdoctoral Research Associate

Queen Mary University of London; London; On-site; GBP 37,000 - 46,000; Full time

Job summary

A prestigious university in London is looking for a researcher for an EPSRC funded project. The role involves signal processing and machine learning to analyze active travel activities. Candidates should have at least an undergraduate degree in Computer Science or a related field, with experience in the relevant research area. A competitive salary and various benefits such as flexible working arrangements are offered.

Benefits

Competitive salary

30 days’ leave

Pension scheme

Flexible working arrangements

Qualifications

• Undergraduate Degree in Computer Science or related field required.
• PhD Degree necessary for PDRA level.
• Experience with machine learning and optical signal processing essential.

Responsibilities

• Conduct research on signal processing and machine learning methods.
• Summarise findings related to active travel activities.
• Utilise Distributed Acoustic Sensors Systems.

Skills

Machine learning

Optical signal processing

Research skills

Education

Undergraduate Degree in Computer Science or related field

PhD Degree in Computer Science or related topics

Job description

Duration:8 months or until 31 May 2026, whichever is sooner

About the Role

This is a research position for an EPSRC funded project entitled “Distributed Acoustic Sensor System for Modelling Active Travel” which examines signal processing and machine learning methods for inferring active travel activities from optical fibre signals.

About You

Applicants must have an Undergraduate Degree in Computer Science, Optical Communication Engineering, or related field. Candidates at the PDRA level must have a PhD Degree in Computer Science, Optical Communication Engineering, or related topics. Applicants should have experience with conducting research, understanding the research process and summarising findings. It is essential that you have relevant knowledge and experience in machine learning for optical signal processing and in Distributed Acoustic Sensors Systems.

Please note, there is the possibility of a 4-month extension on the project, subject to approval of a no-cost extension.

Candidates are kindly requested to upload documents totaling no more than 10 pages; certificates, references and research papers shouldnotbe provided at this stage.

About the School of EECS

As a multidisciplinary School, we are known for our pioneering research and pride ourselves on our international reputation. We are equal first in the UK for the impact of our Computer Science research, and second for our Electronic Engineering research output (REF 2021).

We offer high-quality education to students from diverse backgrounds that leads them to achieve great career outcomes. Our Computing courses were recognised by a recent report from the Institute of Fiscal Studies as top in the country for social mobility.

We welcome staff from diverse backgrounds and are keen to reduce the gender gap, whilst providing a positive and flexible working environment for everyone.

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 professionaldevelopment opportunities. In addition, wehave a range of work-life balance and family friendly, inclusive employment policies, as well as flexible working arrangements.

Queen Mary’s commitment toour 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.

£37,889 to £45,974 per annum