Postdoctoral Research Associate/Fellow
| Dyddiad hysbysebu: | 18 Gorffennaf 2025 |
|---|---|
| Cyflog: | £33,482 i £42,882 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 17 Awst 2025 |
| Lleoliad: | Exeter, Devon |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 3 ddiwrnod yr wythnos |
| Cwmni: | University of Exeter |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | Q07158 |
Crynodeb
This exciting HORIZON EUROPE funded post is available immediately until the end of 2028, based in Exeter, UK, in the Department of Geography.
We are seeking a motivated and innovative researcher to join Professor Schuster’s group in advancing the knowledge of the ocean’s role in the global carbon cycle. The successful candidate will contribute to the collection, integration, interoperability, and analyses of observations centred on marine carbon cycle variability and its drivers.
The ocean is a powerful contributor to Earth’s climate regulation. It is now absorbing about a quarter of anthropogenic CO2 emissions – besides substantial amounts of heat – every year. Thus, it is one of the key players in moderating atmospheric CO2 and heat buildup and hence the change of climate. However, rising oceanic CO2 levels also significantly alter ocean chemistry and impact critical ecosystem services.
Determining these changes requires sustained, long-term high-quality in-situ observations, enabling impactful observation-based analyses informing forecasting ocean and climate models. Meeting these challenges, within the European HORIZON EUROPE projects GEORGE (https://george-project.eu/) and TRICUSO (https://tricuso.eu/), we are advancing technological developments, ocean observations, data integration and analyses through the leading European ocean observing research infrastructures ICOS, EMSO, Euro-Argo, and EMBRC.
This exciting role builds on our research group’s experience and supports international efforts in designing a scientifically robust, feasible, and sustainable observational strategy to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables required to track oceanic CO2 uptake and the drivers of its variability.
Your role’s contributions will include:
• Developing numerical tools to routinely
o (i) assess the current observational capacity, from scientific products, financial, technological, logistical, and personnel demands, to data gaps, redundancies, and resilience;
o (ii) define Key Performance Indicators (KPIs) of observational datasets;
o (iii) identify dynamic biogeochemical ocean regimes and their shifting spatial and temporal boundaries;
o (iv) optimise and update observational strategies for maximum scientific value within feasible and sustainable constraints.
• Supporting technological development and validation, and cataloguing observational capabilities and opportunities.
• Ensuring high data integrity through applying robust and rigorous quality control protocols.
Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient, but technologically viable, financially and logistically realistic, established and maintained by skilled personnel within a well-trained workforce.
About you
At Fellowship level:
The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.
Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study (oceanography, marine science, geography, computer science, mathematics, or statistics). The successful applicant will be a recognised authority in the field, and possess sufficient specialist knowledge in the discipline to make the above projects’ work a success through developing research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be able to demonstrate abilities to address the above role’s contributions, and research skills in numerical handling and analysis of large datasets, work independently as well as in a team, have excellent verbal and written communications skills, develop research questions and methodologies to address them, have teaching experience, and a publication record.
At Associate level:
The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.
Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study (oceanography, marine science, geography, computer science, mathematics, or statistics) and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within the established research programmes outlined above. Applicants will be able to demonstrate abilities to address most of the above role’s contributions, and research skills in numerical handling and analysis of large datasets, work independently as well as in a team, have excellent verbal and written communications skills, develop research questions and methodologies to address them
Please ensure that you read the Job Description and Person Specification for full details of this role.
The University of Exeter
The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.
We are seeking a motivated and innovative researcher to join Professor Schuster’s group in advancing the knowledge of the ocean’s role in the global carbon cycle. The successful candidate will contribute to the collection, integration, interoperability, and analyses of observations centred on marine carbon cycle variability and its drivers.
The ocean is a powerful contributor to Earth’s climate regulation. It is now absorbing about a quarter of anthropogenic CO2 emissions – besides substantial amounts of heat – every year. Thus, it is one of the key players in moderating atmospheric CO2 and heat buildup and hence the change of climate. However, rising oceanic CO2 levels also significantly alter ocean chemistry and impact critical ecosystem services.
Determining these changes requires sustained, long-term high-quality in-situ observations, enabling impactful observation-based analyses informing forecasting ocean and climate models. Meeting these challenges, within the European HORIZON EUROPE projects GEORGE (https://george-project.eu/) and TRICUSO (https://tricuso.eu/), we are advancing technological developments, ocean observations, data integration and analyses through the leading European ocean observing research infrastructures ICOS, EMSO, Euro-Argo, and EMBRC.
This exciting role builds on our research group’s experience and supports international efforts in designing a scientifically robust, feasible, and sustainable observational strategy to monitor oceanic CO2 uptake with improved confidence. Any future observational network utilises a range of instrument/sensor technologies, deployed on different platforms, and measuring multiple variables required to track oceanic CO2 uptake and the drivers of its variability.
Your role’s contributions will include:
• Developing numerical tools to routinely
o (i) assess the current observational capacity, from scientific products, financial, technological, logistical, and personnel demands, to data gaps, redundancies, and resilience;
o (ii) define Key Performance Indicators (KPIs) of observational datasets;
o (iii) identify dynamic biogeochemical ocean regimes and their shifting spatial and temporal boundaries;
o (iv) optimise and update observational strategies for maximum scientific value within feasible and sustainable constraints.
• Supporting technological development and validation, and cataloguing observational capabilities and opportunities.
• Ensuring high data integrity through applying robust and rigorous quality control protocols.
Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient, but technologically viable, financially and logistically realistic, established and maintained by skilled personnel within a well-trained workforce.
About you
At Fellowship level:
The successful applicant will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events.
Applicants will possess a relevant PhD or equivalent qualification/experience in a related field of study (oceanography, marine science, geography, computer science, mathematics, or statistics). The successful applicant will be a recognised authority in the field, and possess sufficient specialist knowledge in the discipline to make the above projects’ work a success through developing research programmes and methodologies. The successful applicant will also be able to work collaboratively, supervise the work of others and act as team leader as required. Applicants will be able to demonstrate abilities to address the above role’s contributions, and research skills in numerical handling and analysis of large datasets, work independently as well as in a team, have excellent verbal and written communications skills, develop research questions and methodologies to address them, have teaching experience, and a publication record.
At Associate level:
The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically and prepare proposals and applications to external bodies.
Applicants will possess a relevant PhD (or nearing completion) or possess an equivalent qualification/experience in a related field of study (oceanography, marine science, geography, computer science, mathematics, or statistics) and be able to demonstrate sufficient knowledge in the discipline and of research methods and techniques to work within the established research programmes outlined above. Applicants will be able to demonstrate abilities to address most of the above role’s contributions, and research skills in numerical handling and analysis of large datasets, work independently as well as in a team, have excellent verbal and written communications skills, develop research questions and methodologies to address them
Please ensure that you read the Job Description and Person Specification for full details of this role.
The University of Exeter
The University of Exeter is an equal opportunity employer. We are officially recognised as a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.
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