Purpose of Role
Key Duties & Responsibilities
The successful appointee will be expected to undertake the following:
1. Manipulate biogeochemical models and how they represent the processes involved in alkalinity cycling.
2. Undertake collaboration with the partner organizations.
3. Write and publish articles in peer-reviewed journals that highlight findings from the research, and present research findings at conferences and workshops.
Please note that this job description is not exhaustive, and the role holder may be required to undertake other relevant duties commensurate with the grading of the post. Activities may be subject to amendment over time as the role develops and/or priorities and requirements evolve. A flexible working schedule may be required to meet all of the key duties and responsibilities.
Essential & Desirable Criteria
Essential
4. PhD degree (or near completion) in a relevant field (such as chemical oceanography, marine sciences).
5. Excellent understanding of the ocean’s carbonate pump, alkalinity cycling and carbon biogeochemistry.
6. Experience developing/using various types of models (for example boxmodels, global circulation models, earth system models) and/or model intercomparison and evaluation.
7. Good programming skills in Python or equivalent and writing scripts.
8. Experience with data mining model output (e.g., CMIP or equivalent).
9. Experience in the application of advanced statistical methods/tools to analyze and visualize model data.
10. Track record of peer-reviewed published work and conference presentations as appropriate for career stage.
11. Ability and desire to work in a closely interacting team, but also independently as required by the specific tasks involved in delivering the work.
12. Good communication and scientific writing skills; proficiency in English.
Desirable
13. Field and/or experimental experience in the context of understanding the challenges and limitations of observational data when working with idealized models.
14. Experience of working internationally and interacting in a multidisciplinary framework, as could be expected within a large international project such as OceanICU.
15. An interest in expanding experience of diverse approaches to parameterize and explore biogeochemical processes (e.g., machine learning).