Machine learning Work, Jobs in Romsey, Ham (with Salaries)

Research Fellow in Airborne Acoustics
University of Southampton —Southampton
- £36,636 - £44,746 a year
- Full-time
- Doctoral degree
- Analysis skills
- Communication skills
12d
Cyber Security Researcher
CoreTech Security Services —Salisbury
- Full-time
- Hybrid work
- Windows
- C++
- Machine learning
9d
Senior Market Pricing Analyst
Ageas —Bournemouth
- £40,000 - £50,000 a year
- Full-time
- Hybrid work
- Machine learning
- School
- Python
Lead Software Engineer
JPMorganChase —Bournemouth
- Full-time
- Oracle
- System design
- Java
10d
AI Security Researcher
Roke Manor Research Limited —Romsey
- Machine learning
- Software development
- AI
13d
AI Security Researcher
Roke —Romsey
- Full-time
- Machine learning
- Software development
- AI
13d
Applied AI ML Engineer
JPMorganChase —Bournemouth
- Full-time
- Master's degree
- APIs
- AI
12d
Group Chief Risk Officer
Trust Payments —Bournemouth
- Hybrid work
- Machine learning
- Organisational skills
- Financial services
4d
Senior Data Engineer
SSE —Portsmouth
- £42,600 - £86,400 a year
- Azure
- Data analysis skills
- Master's degree
- Employee discount
- Gym membership
5d
Bids and Proposals Analyst
Eaton —Wimborne
- Part-time
- Sales
- Negotiation
- Flexible schedule
12d
Margin Services Automation and Testing Senior Associate (Part Time)
JPMorganChase —Bournemouth
- Part-time
- Microsoft Powerpoint
- Microsoft Outlook
- Java
2d
Senior Data Scientist
Vitality —Bournemouth
- Master's degree
- Machine learning
- APIs
9d
Senior Business Manager
Eaton —Wimborne
- Hybrid work
- Sales
- Business development
- Bachelor's degree
- Flexible schedule
5d
Bids and Proposals Manager
Eaton —Wimborne
- Part-time
- Hybrid work
- Sales
- Bachelor's degree
- Business
- Flexible schedule
12d

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Research Fellow in Airborne Acoustics

University of Southampton -
Southampton

Apply Now

Job details

Full-time
£36,636 - £44,746 a year
12 days ago

Qualifications

Mechanical engineering
Doctoral degree
Signal processing
Analysis skills
Communication skills

Full job description

Job Details

Section

Electrical Power Engineering

Location:

Highfield Campus

Salary

£36,636 to £44,746 per annum

Full Time Fixed Term until 17/08/2029

Closing Date:

Tuesday 30 June 2026

Interview Date

To be confirmed

Reference

3433226FP

A multidisciplinary team of researchers and industrial partners from the UK, Australia, and the USA is undertaking an exciting three-year funded research programme to develop a novel airborne sensing system for high-altitude atmospheric platforms.

We are seeking a highly motivated Research Fellow to join this collaborative project and contribute to the development of next-generation acoustic sensing technologies for real-time atmospheric mapping. The project addresses a challenging scientific and engineering problem: how can atmospheric phenomena such as thermals, turbulence, wind shear, and vertical air motion be detected and characterised using airborne acoustic sensing?

The research aims to develop a low Size, Weight and Power (SWaP) sensing system that combines acoustic excitation, advanced signal processing, atmospheric flow physics, and data-driven modelling to infer atmospheric conditions from weak and often noisy measurements. The resulting technology will provide onboard situational awareness for autonomous and high-altitude aircraft, enabling improved endurance, efficiency, and resilience in complex atmospheric environments.

The successful candidate will play a key role in the design, modelling, testing, and validation of innovative sensing technologies, working closely with academic and industrial partners. The role will involve a combination of laboratory experimentation, acoustic measurements, instrumentation development, signal processing, atmospheric flow characterisation, data analysis, and participation in field and flight-test activities.

This position is particularly suited to researchers who enjoy solving complex analytical problems, developing new sensing methodologies, extracting meaningful information from challenging noisy data, and combining theory, modelling, and experimentation to advance scientific understanding.

Essential Criteria

PhD (or equivalent professional experience) in Acoustics, Aeroacoustics, Aerospace Engineering, Mechanical Engineering, Electronic Engineering, Physics, Mathematics, Signal Processing, Applied Mathematics, or a related discipline.
Strong analytical and quantitative skills, supported by a solid theoretical foundation.
Strong background in acoustics engineering, sensing technologies, or related physical systems.
Experience in designing, conducting, and analysing relevant experimental studies.
Experience in analysing complex datasets and translating experimental observations into scientific or engineering insights.
Excellent problem-solving, communication, and collaborative working skills.
Ability to work effectively both independently and within multidisciplinary research teams.

Desirable Criteria

Experience in one or more of the following areas:

Signal processing, statistical inference, or system identification.
Acoustic sensing, wave propagation, and noise control.
Fluid dynamics, turbulence, and atmospheric flow phenomena.
Experimental acoustics, advanced measurement techniques, and instrumentation development.
Data analysis, modelling, uncertainty quantification, or sensor fusion.
Acoustic characteristics and noise generation mechanisms of unmanned aerial vehicles (UAVs).
Development of sensing technologies for aerospace, environmental, or atmospheric applications.

We are particularly interested in candidates who demonstrate creativity in problem-solving, intellectual curiosity, and the ability to develop innovative research ideas. The successful candidate will have the opportunity to contribute to pioneering research at the intersection of acoustics, atmospheric science, sensing technologies, electronics, machine learning, and autonomous flight.

The anticipated start date is August 2026, although a later start date may be considered in exceptional circumstances.

For informal enquiries, please contact Dr Bahareh Zaghari at [email protected]

As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.

Apply by 11.59 pm UK time on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or [email protected] quoting the job number.

Apply Now

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machine learning jobs in romsey, ham

Research Fellow in Airborne Acoustics

Cyber Security Researcher

Senior Market Pricing Analyst

Lead Software Engineer

AI Security Researcher

AI Security Researcher

Applied AI ML Engineer

Group Chief Risk Officer

Senior Data Engineer

Bids and Proposals Analyst

Margin Services Automation and Testing Senior Associate (Part Time)

Senior Data Scientist

Senior Business Manager

Bids and Proposals Manager

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