Visit All-Acad.com with more than 200,000 Jobs for Academics!
                    
Position: Research Associate/Spatial Analyst
Institution: Centre for Ecology and Hydrology
Location: Bangor, United Kingdom
Duties: The main focus will be to manage, process, and analyse spatial data covering all aspects of the large-scale national environmental survey for Wales. This will include data collected by field surveyors across Wales, as well as data from citizen science networks and earth observation. The successful candidate will manage a wide range of baseline and newly collected data, exploiting CEH’s extensive UK datasets where appropriate. You will also develop and support application of novel statistical approaches and integrated data analytics to develop a more responsive approach to increase and improve spatial coverage and maximise other sources of information
Requirements: A PhD or equivalent with relevant experience in spatial and statistical analysis or related subjects; A knowledge of spatial data analysis techniques; An aptitude for learning new technologies and techniques for analysing, processing, and disseminating environmental data; An ability to process and analyse data in a robust and reproducible manner using Python or R to enable automation of key processing steps; An ability to interact with RDBMS (spatial) databases including knowledge of SQL; A thorough understanding of quality control and data management
   
Text: Research Associate - Spatial Analyst - Based in Bangor CEH is a world-class scientific research organisation focusing on a wide range of topics related to the environment, biodiversity, freshwater and terrestrial ecosystems. Our independent, impartial science underpins UK and international environmental policies and innovation for sustainable economic growth. The NERC Research Associates' Programme is an initiative which is intended to offer individuals the opportunity to gain practical experience of working within a Research Institute, whilst acquiring specialist and wider skills that will be valuable in a range of careers. The programme is aimed particularly at those who have recently completed postgraduate studies, but is open to individuals from other backgrounds and of all ages. Individuals will work on highly topical research projects, both important for future research within the environmental research community and appropriate to their backgrounds. Research Associates are given specific, measurable objectives which will be intended to develop their skills as a researcher and to demonstrate their suitability for a research career. Description of work area Spatial analyst. Main Duties We are seeking an enthusiastic and committed spatial analyst. The post-holder will be part of an exciting new programme to monitor the environment taking particular responsibility as the primary data specialist for a major national monitoring programme funded by the Welsh Government. This project seeks to track and understand environmental change, working with our data team to develop an adaptive approach to increase efficiency, effectiveness and integration of monitoring schemes. The post will be a Research Associate in spatial data analysis based at CEH Bangor, working in the Catchment to Coast group. The main focus will be to manage, process, and analyse spatial data covering all aspects of the large-scale national environmental survey for Wales. This will include data collected by field surveyors across Wales, as well as data from citizen science networks and earth observation. The successful candidate will manage a wide range of baseline and newly collected data, exploiting CEH’s extensive UK datasets where appropriate. You will also develop and support application of novel statistical approaches and integrated data analytics to develop a more responsive approach to increase and improve spatial coverage and maximise other sources of information. Specifically, the post holder will be responsible for spatial data interrogation and analysis, the creation of automated data processing and analysis scripts and further development of an existing bespoke data processing library. You will also develop statistical models which use survey data, to further understand the relationships between plant species, soils, habitats and landscape features and drivers of environmental change. Applicants must be able to demonstrate robust and reproducible approaches to spatial data analysis. Support and training will be provided from an experienced team of informatics and statistical specialists. Skills and qualifications required on appointment A PhD or equivalent with relevant experience in spatial and statistical analysis or related subjects ; A knowledge of spatial data analysis techniques; An aptitude for learning new technologies and techniques for analysing, processing, and disseminating environmental data; An ability to process and analyse data in a robust and reproducible manner using Python or R to enable automation of key processing steps; An ability to interact with RDBMS (spatial) databases including knowledge of SQL; A thorough understanding of quality control and data management. In addition to this, an important part of the job will be to maintain communications with senior staff and field surveyors, and to work around any problems encountered. Therefore, you are required to have good communication skills and the ability to work on your own initiative. You will be working in collaboration with other scientists and technical staff so will need a flexible attitude, the ability to meet deadlines and a sound teamwork ethic. Training and skills to be gained At the end of the 3-year training programme, the Research Associate will have gained in depth training in statistical models and data manipulation and management. In particular: Skills in spatial modelling and analysis of large datasets Skills in writing up results and producing scientific papers and reports detailing major research findings. Opportunities to participate in and contribute to a wide range of projects supporting the delivery of CEH science objectives. Benefits of working at the Centre for Ecology & Hydrology In addition NERC offer a public sector pension scheme, 30 days annual leave and 10½ days public and privilege holiday per annum. We offer a flexible and supportive working environment and will encourage your continuing professional development as part of our career support. NERC has an equal opportunities policy 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 welcomed. Guaranteed interview scheme for applicants with disabilities. The standard weekly working hours at CEH Wallingford are 37 hours per week. Towards the end of the Research Associate traineeship consideration is given to availability of open ended employment opportunities with CEH. We have successfully appointed most of our recent Research Associates to open ended roles. How to apply Apply for this position through Top Careers Closing date: 22/01/2018 Interview date: 14/02/2018 Eligibility to apply To work for CEH, you must be eligible to live and work in the UK without the requirement for a work permit. CEH can only apply for a work permit in cases where there are no suitably qualified or experienced resident workers; otherwise applicants should normally be resident in the UK or a national of the European Union. From April 2018, Centre for Ecology and Hydrology, a component part of the Natural Environment Research Council, will be part of UK Research and Innovation. UK Research and Innovation will bring together the seven Research Councils, Innovate UK and a new organisation, Research England. The vision for the new organisation is to be the best research and innovation organisation in the world. More information can be found online at http://www.ukri.org. From April 2018, you will be employed by UK Research and Innovation. Closing Date: 22/01/2018 Salary: £28,200
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.