Postdoctoral/research Engineer Position

hace 2 semanas

Barcelona, España Barcelona Supercomputing Center - Centro Nacional de Supercomputación A tiempo completo

**Context And Mission
This position is hosted by the Climate Variability and Change (CVC) Group within BSC's Earth Science Department. The CVC Group undertakes fundamental research to (1) understand climate variability and change, including for climate extremes, (2) investigate global biogeochemical dynamics, and the effectiveness and impacts of carbon removal technologies to mitigate climate change, (3) developing new Earth System modeling capabilities, and (4) improving our ability to forecast the climate variations from one month to multiple decades into the future, both at global and regional scales.

The position offered is funded by the European projects EDITO-Model Lab and OptimESM. EDITO-Model Lab will prepare the next generation of ocean models, complementary to Copernicus Marine Service, to be integrated into the EU public infrastructure of the European Digital Twin Ocean. OptimESM will develop a novel generation of Earth system models (ESMs), combining high horizontal resolution with an unprecedented representation of key physical and biogeochemical processes. These models will be used to deliver cutting-edge and policy-relevant knowledge around the consequences of reaching or exceeding different levels of global warming.

**Key Duties
- Lead the development of new Machine Learning models to be embedded into the new version of the hybrid PISCES model
- Review the state-of-the-art in the field of machine learning applied to biogeochemistry modelling
- Validate the ML-based developed model by comparing the obtained results and performance with the current fully prognostic version
- Contribute to the implementation and coupling of the new model with EC-Earth4
- Lead and participate in research publications that will derive from the project
- Actively participate in relevant model development communities (EC-Earth, NEMO) and contribute to pursue new lines of funding.

**Requirements
Education
- PhD or Master’s degree in computer science, oceanography, atmospheric science, or a related discipline

Essential Knowledge and Professional Experience
- Experience in developing and training machine learning models using TensorFlow/Pytorch
- Knowledge about useful packages, such as Scikit-learn, Xarray, Numpy, Jupyter notebook, etc
- Programming skills: scripting (e.g. bash, Python), programming (Fortran), data analysis and visualization software (e.g. CDO, NCO, R, Python)

Additional Knowledge and Professional Experience
- Experience in ocean biogeochemistry/physics and/or climate modelling
- Ability to process and analyse large datasets within the Earth Sciences domain
- Proven ability to prepare and submit manuscripts to peer-reviewed scientific journals
- Knowledge of version control systems (git, svn )
- Experience in writing research and computing proposals
- Previous postdoctoral experience will be valued

Competences
- Fluency in spoken and written English
- Highly collaborative spirit and ability to work as part of a large, strongly-coordinated team and to continuously share both knowledge and tools

**Conditions
- The position will be located at BSC within the Earth Sciences Department
- We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Starting date: June 2023

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