Computer Vision Researcher (Fixed Term, Full Time)

Computer Vision Researcher (Fixed Term, Full Time)

Ocean Biogeochemistry and Ecosystems, National Oceanography Centre (NOC), Southampton

About the role:

We are seeking a computer vision researcher to develop, apply and evaluate new algorithmic approaches to oceanographic data analysis, including images. The proliferation of autonomous systems for ocean observation necessitates more efficient processing of optical and other data into useful information. The researcher will take advantage of existing tools and libraries from the fields of pattern recognition, computer vision and machine learning for the annotation of underwater images.

Key responsibilities will include:

  • Tailoring computer vision and machine learning tools for use in ocean biogeochemistry and ecosystem applications.
  • Networking with scientific users, as well as other experts in marine imaging, pattern recognition and machine learning to map and link technical capability with user needs (e.g. within the European Multidisciplinary Seafloor and watercolumn Observatory – European Research Infrastructure Consortium).
  • Setting up local operation of existing marine image analysis tools (e.g. TensorFlow, COATL, ES4C, DELPHI, BIIGLE [Bio-Image Indexing, Graphical Labelling and Exploration])
  • Developing case studies of streamlining analytical workflow(s) from data collection to information provision.
  • Reporting the results of case study work in one or more publications.

This is a Fixed Term Appointment, available for 1.5 years offered on NERC terms and conditions and is open to internal and external candidates.

Salary:

This is a Band 6 position and the starting salary will be £28,200 per annum and depending upon skills and experience, a salary uplift and/or additional allowances may be available for exceptional candidates.

Please note that we are not able to sponsor candidates for this role, who require a right to work in the UK.

Hours of Work: 

The hours of working are full time. Candidate may go to sea on research expeditions or undertake occasional travel for project meetings.

About you:

Knowledge, skills and qualifications required for the position include:

  • Master’s degree (or similar experience) in informatics, imaging, or computational algorithm development
  • Knowledge of pattern recognition research tools
  • Knowledge of machine learning including deep learning
  • Software development skills
  • Strong communication skills (both verbal and written)
  • Desired knowledge of ecological and/or oceanographic applications of pattern recognition research

What we can offer you:

In return for your talents, we offer a competitive remuneration package, including a RCUK pension scheme, 30 days annual leave with a further 14 Public/local days off and free car-parking. Opportunities for further training and development are supported.

About us:

The National Oceanography Centre (NOC), part of the Natural Environment Research Council, is a national research organisation, delivering integrated marine science and technology from the coast to the deep ocean and is one of the top five institutions of its kind in the world.

With sites in Liverpool and Southampton, it is the UK’s leading centre for sea level science, coastal and deep ocean research and technology development.  Working closely with its partners and associates, it provides capability to meet needs across the UK marine science community (http://noc.ac.uk/).

The Ocean Biogeochemistry and Ecosystems Group at NOC is an integrative research team studying topics such as the links between climate, upper ocean dynamics and deep-sea ecology, or the impact of industrial activity on seafloor ecology. We work with emerging technology including facilities of the Marine Autonomous and Robotic Systems (MARS) here at NOC and the European Multidisciplinary Seafloor and watercolumn Observatory (EMSO).

For general enquiries regarding this role, please contact h.ruhl@noc.ac.uk.

Our Commitment as an Employer:

The NOC is an equal opportunities employer and welcomes applications from all sections of the community. People with disabilities and those from ethnic minorities are currently under-represented and their applications are particularly welcome. The NOC is an Investors in People organisation and is working towards achieving Bronze status for Athena SWAN – a scheme that recognizes excellence in women's employment in science, technology, engineering, maths and medicine (STEMM) in UK higher education. There is a guaranteed Interview Scheme for suitable candidates with disabilities.

The NOC is committed to making the NOC ‘a great place to be, where our people succeed and deliver great work’. The NOC is committed to being recognised as a flexible employer to support employees’ work and personal commitments where possible and the NOC’s Flexible Working Policy gives all employees the right to request flexible working.

How to apply:

All internal and external applications are handled by the UK Shared Business Services Ltd (UK SBS). For further information about the role and to apply, please visit our website at http://topcareer.jobs/ quoting reference number IRC240387. To apply, please submit an up-to-date CV (including covering letter explaining how your skills and experience meet the requirements of the role). If you are unable to apply online, please contact us by telephone on 00 44 (0) 1793 867003.

Closing date: 9 April 2017

Interview date: It is proposed that interviews will take place during week commencing 1 May 2017.

Closing date: 
Sunday, 9 April, 2017