Research Fellow in Data Analysis/Machine Learning for Distributed Acoustic Sensing

University of South Hampton
CA - Nova Scotia - Highfield
February 1, 2025
IT

Research Fellow in Data Analysis/Machine Learning for Distributed Acoustic Sensing

We are recruiting a Research Fellow (postdoctoral researcher) to undertake research on Data Analysis/Machine Learning for Distributed Acoustic Sensing (DAS) in the context of the recently awarded UKRI grant 'SOUNDSCALE:
Sensing On Urban Noise:
Distributed Sensing For Collaborative And Sustainable Cityscapes And Living Environments',
/soundscale.ac.uk/.

The role

The applicant is expected to carry out research on data analysis and machine learning to analyse large quantities of data coming from Distributed Acoustic Sensing (DAS) in urban settings.
This requires a strong knowledge on data analysis, relevant machine learning techniques, signal processing and big data, and will require the use of high-performance computing and GPU acceleration.
The successful applicant will have access to unexplored and one-of-a-kind datasets of DAS in urban settings to explore their soundscapes.
You will also have the chance to get involved in the data acquisition process and to design controlled experiments to address specific research questions.
The role will also involve supporting the PI and other team members in effective liaison with collaborators and stakeholders.

This is a highly interdisciplinary project with researchers from the physical sciences, computer science, social sciences and arts and humanities, with a significant element of knowledge exchange and bidirectional engagement with stakeholders.
You will join a supportive interdisciplinary environment in a working group of colleagues from different disciplines and you will have the opportunity to engage with non-academic stakeholders.
The project comes with funding for a skill development program for the candidate to attend training courses to learn new methodologies, as well as travel budget for conference attendance and mentoring support.
You will have research freedom to design your own path to achieve the project's goals and independently explore related areas of research, obtain your own funding, and pursue other opportunities for your career development.
You will be sitting at the School of Electronics and Computer Science at the University of Southampton.

About you

The successful applicant will have:

A PhD
• or equivalent professional qualifications and experience in Physics, Mathematics, Engineering, Computer Science, or related technical area.
Detailed understanding and knowledge of some relevant techniques, e.g., machine learning, deep learning, etc.
Strong programming skills in one or more programming languages relevant to machine learning, signal processing and big data, like Python.
Interest or experience working in interdisciplinary environments and willingness to get involved in interdisciplinary projects, providing expertise where needed.
Good track record (relative to opportunity) of peer-reviewed publications in leading journals, book presses and/or conferences.

The following would be advantageous:

Knowledge of signal processing techniques.
Experience working with big data, particularly in the context of sensing.
Experience working in Linux environments and high-performance computing, including GPU and parallel computing.
Experience with statistical methods and advanced data analysis and visualisation.

This is a highly interdisciplinary project, and preference will be given to candidates who show their interest and willingness to engage efficiently in interdisciplinary research and work with non-academic stakeholders.

We encourage interested candidates to contact Dr Rafael Mestre (***) for informal enquiries.

The post is offered on a full-time fixed-term appointment for 18 months and should ideally start by April 2025, or shortly thereafter, and will end no later than December 31st, 2026 due to funding constraints.

• Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.
The title of Research Fellow will be applied upon successful completion of the PhD.
Prior to the qualification being awarded the title of Senior Research Assistant will be given.

Candidates should attach their academic CV, answer a series of shortlisting questions and a short (500 word) cover letter and provide two references.

We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.

Apply by 11.59 pm GMT on the closing date.
For assistance contact Recruitment on +44(0)2380 592750 or *** quoting the job number.

•

Read the full job description and apply online on the recuiter's web-site

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Research Fellow in Data Analysis/Machine Learning for Distributed Acoustic Sensing

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