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Research officer ecosystem carbon modelling

Maynooth
Teagasc (Agriculture & Food Development Authority)
Posted: 11h ago
Offer description

Job Description Duration: Temporary externally funded non Grant-in-Aid contract post, the indicative duration of which is 17 months, subject to contract.
A panel may be formed from which future similar vacancies may be filled; such a panel will remain active for a maximum period of 12 months.
Basic Function This competition seeks to recruit one Research Officer focused on modelling ecosystem CO2 fluxes and changes in soil organic carbon (SOC) and aiding in the development of Measurement, Reporting and Verification systems using a range of models such as RothC, DAYCENT, etc Background Under the Paris Agreement, the EU seeks to achieve climate neutrality by ****.
As part of this goal, the EU has set a target of enhancing terrestrial carbon sinks to 310 million tonnes CO2e per annum by ****.
In order to verify both an increase in carbon sinks and reduced land-based carbon emissions, robust Measurement, Reporting and Verification (MRV) to the UNFCCC is required.
This competition seeks to recruit one Research Officer focused on modelling ecosystem CO 2 fluxes and changes in soil organic carbon (SOC) and aiding in the development of Measurement, Reporting and Verification systems.
CO 2 fluxes will be measured at several sites using a network of eddy covariance towers modelled using a variety of biogeochemical models.
The successful candidates will join a well-resourced team of permanent and contract staff carrying out C sequestration research.
They will oversee the project, which will improve our understanding of the effect of soil type and land-use management practice on CO 2 fluxes, soil carbon pools and carbon sequestration.
This position will help lead the scientific workplan of MARVIC, an EU-wide project seeking to develop a continent-wide MRV system for land-based GHG emissions.
MARVIC is funded by EU Horizon Programme.
This position will be based in Teagasc Environment, Soils and Land-use Department in Johnstown Castle, Wexford.
Teagasc - Johnstown Castle is Ireland's leading research institute on soils and environment related research, and conducts both fundamental and applied research on a wide range of subjects, e.g. soil quality, nutrient efficiency, water quality, gaseous emissions, agro-ecology, and land use Job Objectives To assist with managing measurement data from a number of sites To use measurement data to validate ecosystem GHG models and aid in model development To assist with gathering farm activity data required to interpret EC data and is also required for models Contribute to the management of samples, equipment and consumables.
To undertake quality control and ensure good data management.
To carry out electronic data entry of research samples for example using the Teagasc LIMS system and recording of results.
To contribute to the teamwork and team-spirit in the agri-environmental research department at Johnstown Castle, and to foster and add to further collaboration and integration.
To assist Teagasc in meeting the commitments of the Quality Customer Service Charter and Action Plan.
To actively participate in the annual business planning and Performance Management Development System (PMDS) processes.
Fully co-operate with the provisions made for ensuring the health, safety and welfare of themselves, fellow staff and non-Teagasc staff and co-operate with management in enabling Teagasc to comply with legal obligations.
This includes full compliance with the responsibilities outlined in the Safety Statement.
Any other duties as may be assigned from time to time * This job specification is intended as a guide to the general range of duties and is intended to be neither definitive nor restrictive.
It will be reviewed from time to time with the post holder.
Skills Requirement Essential Desirable Qualifications An honours Level 8 degree, (as recognised on the National Framework of Qualifications or equivalent), in computer science, mathematics or statistics or a related discipline.
A postgraduate degree and/or research experience in (name) would be a distinct advantage Experience in process-based modelling techniques Skills/Knowledge Data handling and computer skills.
Coding skills (R, Python or C++) Database use and management.
Statistical analysis.
Publications in peer-reviewed journals Ecosystem C and N cycling.
Understanding of agricultural systems.
Experience in process-based modelling techniques.
Behavioural Competencies Ability to work as part of a team, including consulting, collaborating and building relationships with key partners.
Self-disciplined organised and methodical.
Ability to problem solve and a high level of attention to detail.
Positive approach to new challenges and dissemination of new tasks.
Flexible with an ability to adapt to changing requirements/priorities.
Strives for high quality of work and demonstrates commitment to the programme Eligibility This is an open public competition.
Should a current serving Teagasc staff member be successful in their application through open public competition for this post, their current contract of employment with Teagasc will come to an end on taking up this post.
Note: The 'essential' qualifications, knowledge, skills and behavioural competencies outlined above are 'must-have' which will be used in the selection process.
To be considered for this role you will be redirected to and must complete the application process on our careers page.
To start the process, click the Apply button below to Login/Register.

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