- Department: Maritime Communications
- Job Location: Beckington
- Reports to: Head of Research
- Type: Permanent
We are looking for a data scientist with 10 years’ experience in sonar signal processing and underwater acoustics to join a small team working on a variety of interesting signal processing, data analysis and mathematical modelling tasks. This will support underwater research carried out but SEA.
You will work as part of a small team of data scientists and sonar modelling experts undertaking signal processing and mathematical modelling tasks relating to sonar and the underwater environment. The work will range from modelling, through trials design to experimental analysis and algorithm design.
The varied nature of the work means that there will be opportunities to apply a range of novel mathematical and data science techniques to problems.
You will also lead work packages throughout the project lifecycle and will be responsible for technical outputs and supervision of junior team members. The work will include bidding, working with customers to refine their requirements and using tools and developing software to undertake modelling and analysis and reporting findings.
You will act as a domain point of contact taking the lead in developing SEA’s capability in the area and presenting it to a wider audience.
Based at our head office near Frome, you may be required to work from our Bristol office on a temporary basis in support of a Project or Bid activities. You may also be required to travel for regular meetings with customers and external contractors.
Visits away for more than one day may be required and overseas.
To be a success in this role you will:
- Have 10 years’ experience in sonar signal processing and underwater acoustics
- Be familiar with software development practice in support of data science applications
- Have been responsible for delivering work packages and have experience of managing the customer
- Have experience in mathematical modeling and data analytics/visualization
- Skills in C++ and Machine learning would be useful as would experience in radar