Job Description

Research Fellow in Data Analysis/Machine Learning for Distributed Acoustic SensingEmployer Location Southampton, United Kingdom Salary xc2xa335,880 to xc2xa340,247 per annum Closing date 26 Feb 2025View more categoriesView less categoriesAcademic Discipline , , , , Job Type , Contract Type HoursSave jobClick to add the job to your shortlistYou need to or to save a job.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', .The roleThe 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 youThe 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.Thinking of applying but you think you don't meet all the requirements? Studies have shown that certain groups, like women, are less likely to apply to a role if they don't meet 100% of the requirements. If you feel this is the right project for you, we encourage you to apply, and particularly women, Black, Asian and minority ethnic, LGBT and disabled applicants. Equality, Diversity and Inclusion is central to the ethos of this project and to the School of Electronics and Computer Science. In the School, we are committed to improving equality for women in science and have been successful in achieving an Athena SWAN bronze award in April 2020. We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. We have a range of staff development programmes and a unique mentoring and wellbeing scheme. We strongly recommend that you visit and to find out more about working in ECS.What we can offer youBe a part of the University of Southampton, an institution in the top one per cent of world universities and one of the UK's Russell group research-intensive universities. We have an international reputation for research, teaching and enterprise activities. Working at the University of Southampton gives you access to a wide range of benefits in addition to our competitive rates of pay. Our core benefits include pension scheme membership; a generous annual leave allowance (supplemented by University closure days and public holidays) and excellent family leave arrangements (including maternity, paternity, adoption and parental leave). We will support your long-term future too, with access to the Universities Superannuation Scheme (USS), subsidized health and fitness facilities and a range of discounts. All our benefits can be viewed on the .At the University of Southampton, you will have direct access to the recently announced Responsible AI UK (RAI UK; ) ecosystem that we are leading, centred around the development of responsible artificial intelligence, which has been awarded xc2xa331million by UK Research and Innovation (UKRI). This consortium brings together experts to create an international research and innovation ecosystem to develop trustworthy and secure AI that responds to the needs of society.*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.Share this jobSave jobClick to add the job to your shortlistYou need to or to save a job.Get job alertsCreate a job alert and receive personalised job recommendations straight to your inbox.xc2xa9 2015 - 2025 THE World Universities Insights Limited. Powered by Madgex Job Board SoftwareCloseBefore you apply -
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