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- Tasks: Join our research team to explore machine learning and signal processing for active travel activities.
- Company: Be part of Queen Mary, a leading institution known for its pioneering research and diverse community.
- Benefits: Enjoy competitive salaries, 30 days leave, flexible working, and professional development opportunities.
- Why this job: Contribute to impactful research while working in an inclusive environment that values diversity.
- Qualifications: Undergraduate degree in relevant fields; PhD required for postdoctoral role; experience in research and machine learning essential.
- Other info: Potential for a 4-month project extension; applications from under-represented groups are especially encouraged.
The predicted salary is between 31800 - 38400 £ per year.
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 shouldnot be 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
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Research Assistant or Postdoctoral Research Associate employer: Queen Mary University of London
Contact Detail:
Queen Mary University of London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant or Postdoctoral Research Associate
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and optical signal processing. This will not only help you during interviews but also demonstrate your genuine interest in the field and the specific project.
✨Tip Number 2
Network with professionals in the field of Distributed Acoustic Sensors and related research areas. Attend relevant conferences or webinars to connect with potential colleagues and gain insights that could be beneficial for your application.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to machine learning and signal processing. Be ready to explain how your findings can contribute to the goals of the EPSRC funded project.
✨Tip Number 4
Showcase your understanding of the research process by being prepared to discuss methodologies and outcomes from your past projects. This will highlight your capability to conduct research effectively and summarise findings succinctly.
We think you need these skills to ace Research Assistant or Postdoctoral Research Associate
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and optical signal processing. Include specific projects or research that demonstrate your skills in these areas.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your motivation for applying to this position. Discuss how your background aligns with the project’s focus on Distributed Acoustic Sensors and your understanding of the research process.
Highlight Relevant Experience: In your application, emphasise any previous research roles or projects you have been involved in. Detail your contributions and the outcomes, particularly those related to active travel activities or similar fields.
Follow Application Guidelines: Ensure you adhere to the document limit of 10 pages and avoid including certificates or references at this stage. Double-check that all required documents are included before submitting your application through our website.
How to prepare for a job interview at Queen Mary University of London
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail. Highlight your role, the methodologies you used, and the outcomes of your work. This will demonstrate your understanding of the research process and your ability to contribute effectively.
✨Demonstrate Knowledge in Machine Learning
Since the role requires expertise in machine learning for optical signal processing, brush up on relevant concepts and be ready to discuss how you've applied them in past projects. Providing specific examples will help illustrate your capabilities.
✨Understand Distributed Acoustic Sensors
Familiarise yourself with Distributed Acoustic Sensor Systems and their applications. Being able to discuss how these systems work and their relevance to active travel will show that you are well-prepared and genuinely interested in the project.
✨Prepare Questions for the Interviewers
Think of insightful questions to ask about the project, the team, and the school. This not only shows your enthusiasm but also helps you gauge if the position aligns with your career goals and values.
