? Represent MSS at national and international scientific, research and advisory meetings,
providing expert scientific input, preparing reports and advice for publication in the public
domain, and providing critical evaluation of stock assessments and other fisheries
management related research. This will include representing MSS at ICES (International
Council for the Exploration of the Sea) scientific working groups.
? Contribute population modelling expertise to research projects on stock assessment and
the evaluation of fisheries management strategies. The post-holder will have delegated
responsibility for particular aspects of work and will also be required to work collaboratively
in other areas.
? Conduct analyses to support the provision of fisheries management advice at national and
international level – providing solutions to often complex problems by drawing on a wide
range of input data, numerical and analytical methods and knowledge of fishing and
? Prepare and analyse fishery and biological data for use in stock assessment and in
support of other fisheries management related research. This will require interrogating
databases, compilation and critical evaluation of fishery and survey data, and analysing
and presenting data using appropriate software.
? Conduct fieldwork as part of MSS’ research vessel survey programmes. This will involve
participating in acoustic surveys, following agreed sampling protocols and safe working
practices, and working at sea for periods of up to 21 days.
1. Evidence of strong numeric ability with experience of developing models of environmental, biological or fishery systems.
2. Excellent computational skills with proven ability to programme in a high level language (such as R), particularly with respect to modelling and data analysis.
3. Good communication skills, with evidence of documenting their work in a clear and understandable manner, preparing reports for publication and delivering effective presentations to specialist and non-specialist audiences.
4. Strong planning and organisational skills, able to manage their own workload and prioritise effectively, and dealing with competing demands.