Research Associate in Underwater Acoustics
University of Bath – Fixed term, full time (36.5 hours/week) until December 2027.
About the Role
As a post‑doctoral Research Associate, you will develop new tools to study the soundscapes of the Arctic Ocean. You will use advanced techniques such as Deep Learning and AI to analyse long‑term measurements from our European project HiAOOS ("High‑Arctic Ocean Observing Systems") and other unique, associated datasets. You will compare the sounds from ice, biodiversity and human impacts with other observations (from multi‑purpose moorings to satellite data) to gain new insights into the effects of climate change on polar environments. You will share this knowledge by providing annotated datasets to train and validate future AI tools, and by developing innovative training materials for polar scientists, for example using JupyterLab and Docker packaging, to create MOOCs.
About You
* A PhD degree in a STEM discipline relevant to the project.
* A very good knowledge of the state‑of‑the‑art in soundscape research and the latest themes in Deep Learning/AI, ideally adapted to underwater sounds.
* Programming skills, ideally in Matlab, Python or similar.
* A strong interest in the marine Arctic environment, including ice processes, animal vocalisations and the potential impacts of human activities.
* The ability to conduct individual research in an international, interdisciplinary setting.
* Proven potential to publish in high‑quality, peer‑reviewed journals.
* Demonstrated experience in presenting results orally and writing technical reports.
Further Information
This is a full‑time (36.5 hours) fixed‑term position until December 2027. For further information relating to this vacancy, please contact Philippe Blondel, pyspb@bath.ac.uk.
As a member of Research Staff at the University of Bath, you will be encouraged to take up a minimum of 10 days professional development pro‑rata per year.
What We Can Offer You
* Free counselling services through Health Assured
* Cycle‑to‑work scheme
* Electric vehicle salary sacrifice scheme
* Staff discount at Team Bath gym
* Staff discounts on postgraduate tuition fees
* Staff discount on language courses
* Generous employer contributory pension schemes
* Generous annual leave allowance with an additional five discretionary days
* A wide range of personal and professional development opportunities including Apprenticeships, LinkedIn Learning and more
* Free entry to the Holburne Museum in Bath
* Local discounts and more
* A family‑friendly workplace
* An excellent reward package that recognises the talents of our diverse workforce
* Relocation allowance
* Visa reimbursement and interest‑free loan to help with the cost of some immigration expenses
We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality, receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds and communities, particularly from under‑represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.
We are proud to be a signatory of the Armed Forces Covenant, an accredited Disability Confident Leader; autism friendly university, committed to building disability confidence and supporting disabled staff.
Right to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.
Anonymous shortlisting: We are constantly seeking to reduce unconscious bias that enters any assessment process. To support this, personal details such as your name may be removed from application forms at the initial shortlisting stage.
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