About the job
To provide technical support to current and future research programmes. You will be required to: provide advice on economic study design, specifically on micro- as well as macro-economic modelling; extract, manipulate, visualise, analyse and model economic data, often coupled with biophysical data, and ensure high data quality and recording standards.
The core team of Cefas’ economists undertake interdisciplinary research and provide advice, largely in support of Defra’s coastal and marine environment policies and natural capital assessment, but also participate in national (UK) and Internationally funded research, and other collaborations, including academia (especially with the University of East Anglia and CSERGE). Their research focuses on the valuation and management of coastal and marine ecosystem services in Europe and overseas territories using stated and revealed preference methods, as well as market analysis to inform cost-benefit analysis, impact assessment, cost-effectiveness analysis, and analysis related to the fisheries and aquaculture industry. The team is currently expanding their capability within the field of fisheries economics; exploring innovative ways of using risk assessment, as well as statistical, numerical and mathematical modelling approaches for the sustainable management of the coastal and marine natural capital. The post requires working as part of a multidisciplinary team of scientists from across Cefas and external organisations.
MAIN DUTIES AND RESPONSIBILITIES
You will provide technical support to the socio-economic research programmes, primarily within the Social and Economic Assessment team, but also collaborating with other teams to provide advice on study design, statistical analysis, (bio-)economic modelling and data management. You must be outgoing, flexible and capable of undertaking a range of activities in support of the Social and Economic Assessment Team. The focus of the role will be on statistical analysis, modelling, study design and data management of economic problems across Cefas. You will also be expected to undertake a range of data handling activities including database management, data mining, statistical analysis and numerical modelling.
Duties will include:
• Conducting economic-based analysis in the Social and Economic Assessment team and providing relevant support across Cefas.
• Contributing to the development and application of economic tools to support fisheries science (e.g. ecosystem-based fisheries management).
• Managing and delivering research and consultancy work with government departments (in the UK (e.g. Defra), but also abroad), or within the EU research opportunities, the UK Research Councils and public sector, or the private sector.
• Working across Cefas and with other research and academic institutions to enhance existing relationships and identify and gather the data required by current and future econometric studies and provide support in data management and analysis.
• Undertaking the extraction, compilation, and analysis of data from local, national, and international databases, e.g. for input-output analysis and bio-economic modelling.
• Publishing in internationally peer-reviewed journals.
• Representing Cefas at national and international conferences/workshops/meetings to enhance the profile and reputation of the function.
• A strong understanding of economic theory (applied to environmental economics) and the data challenges associated with its analysis.
• Competent in programming in R (experience in other programming/statistical languages advantageous).
• A basic understanding of biological systems (preferably marine/aquatic systems) and the data challenges associated with them.
• Competent in setting up spreadsheets and databases, and, extracting, manipulating and analysing data from them.
• Must be flexible and committed, with the ability to work as part of a team, but also independently to organise own work to meet deadlines.
• Candidates require good communication skills, excellent time management and must demonstrate excellent attention to detail.
• Must be able to advise on a range of statistical, mathematical and computational modelling techniques for modelling design and analysis, coupling natural and social science data.
• Some experience in using Geographic Information Systems (GIS).
Please give details of skills and experience relevant to the minimum essential in the job description.
A higher degree (PhD preferable) in an appropriate subject (e.g. (environmental) economics or equivalent). Applicants who are in the final stages of their degree course may also be considered for this post.
We'll assess you against these competencies during the selection process:
- Collaborating and partnering
- Building capability for all
- Seeing the big picture
- Delivering at pace
- Science and Engineering - Securing, Maintaining and Developing Relevant Technical Expertise
- Science and Engineering - Applying Scientific and Technical Knowledge
Civil Service Competency Framework
Things you need to know
Successful candidates must pass a disclosure and barring security check.
Candidates will be subject to UK immigration
requirements as well as Civil Service nationality rules
If you're applying for a role requiring security clearance please be aware that foreign or dual nationality is not an automatic bar. However certain posts may have restrictions which could affect those who do not have sole British nationality or who have personal connections with certain countries outside the UK.
Selection process details
Please note depending on the volume of applications an initial sift may be conducted on the lead competency Collaborating and Partnering, candidates must pass this competency for their application to be progressed.
Candidates should be aware that they may be assessed on their relevant skills and experience as well as the listed competencies.
Feedback will only be provided if you attend an interview or assessment.
Working for the Civil Service
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We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles
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Contact point for applicants
Sift/interview dates and location
Sift and interview dates to be confirmed.
Interviews will be held at Cefas Laboratory, Pakefield Road, Lowestoft, Suffolk, NR33 0HT
Cefas is unable to contribute to interview expenses.
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