This vacancy is now closed

Closing Date
12/08/2022
Division
Science
Description

Salary Range - £33527 per annum (Scientist Grade)*

Full Time - Open Ended Appointment

 

PML hosts one of the largest and most active marine system modelling groups in the world (https://www.pml.ac.uk/science/Marine-Systems-Modelling). Our mission is to promote greater fundamental understanding of marine systems by developing and applying state-of-the-art computational models. These models simulate marine system functioning and its response to local and global pressures. We use this understanding to promote sustainable use of marine ecosystems, addressing many of the UN sustainable development goals and contributing to IPCC reporting. We take a “systems” approach, integrating oceanography, marine physics, chemistry, biology, and ecology across the water column, sediments and land and atmospheric interfaces. We integrate models with data from laboratory experiments, in situ and remotely sensed marine observations to test hypotheses, validate simulations, sustain monitoring, and improve forecasts. Our whole systems approach provides an unrivalled ability to understand the marine system and improve predictions of change in the ocean state, ecological functioning, and ecosystem services.

We are looking for a highly capable and motivated scientist to join our existing team developing and applying coupled biogeochemical-hydrodynamic models to a variety of marine systems across the globe. We engage in both short term operational and climate scale forecasting and cover a variety of topics including biogeochemical fluxes, marine management and sustainability. The position is suitable for candidates with a background in physics, computer modelling or oceanography and we would particularly welcome candidates with knowledge of data assimilation methods.

Requirements

  • Proven expertise in setting-up, running and analysing 3D coupled biogeochemical models (Experience with NEMO and/or ERSEM is desirable but not required)
  • Proficiency in HPC usage, FORTRAN coding, large data set processing. Ability to use Python or similar for model post-processing and data analysis.
  • Expertise in data assimilation theory and application with marine ecosystem models and biogeochemical observations from space and/or in situ platforms. Confidence with both ensemble and variational methods is preferable (but not necessary)
  • Good track record of translating research into impactful publications, presentations, reports and code repositories
  • Proven ability to manage one’s own workload and collaborate with colleagues
  • Successful experience in contributing to funding procurement is desirable
  • Interest in new frontiers of data-model integration (e.g. machine learning, digital twins) is welcome.

PML is a highly impactful organisation, exemplified by our impact case studies which scored very highly with 100% deemed to be world-leading or internationally excellent by the 2020 NERC evaluation.  We strive to deliver excellent research that can benefit the environment and society and have clear strategies in place to support our staff to achieve academic and non-academic impact.   Applicants to PML should have at least a basic understanding of the UK impact agenda.   PML offer training in impact and provide tools and guides, through our dedicated Impact Team, to help further understanding and skills in these and associated areas.  In addition, our Science to Impact Challenge Areas coordinate activities to work inter-disciplinarily towards shared goals to help alleviate or mitigate global challenges, such as climate change and biodiversity loss.  PML encourages applicants that aspire to work collaboratively and creatively to make a difference.

PML is committed to equality, diversity and inclusion, and our policy can be found here: https://www.pml.ac.uk/Working-with-us. We are proud to have achieved the Athena SWAN award as recognition of our achievements in gender equality. As part of this, we offer opportunities to discuss flexible working and whilst the selection process will be based on merit, we particularly welcome applications from female candidates, currently underrepresented.

*PML offers annual salary increments over a five year period, rising to £39486 (Scientist Grade)