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Phd in Global Climate Prediction with
hace 3 meses
Job Reference:
- 407_24_ES_GES_R1
Position: - PhD in global climate prediction with highresolution models (R1)
Closing Date: - Thursday, 01 August, 2024
Reference: 407_24_ES_GES_R1
Job title: PhD in global climate prediction with high-resolution models (R1)
About BSC - The Barcelona Supercomputing Center
- Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads largescale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.
- Look at the BSC experience:
- BSC-CNS YouTube Channel
- Let's stay connected with BSC Folks
Context And Mission - The Earth Sciences Department of Barcelona Supercomputing Center (BSC-ES) led by Prof Francisco Doblas-Reyes develops, among other research tools, global climate models to perform a range of climate experiments at storm and eddyresolving spatial resolutions. These tools have opened a very exciting path to revisit properties of the climate system such as climate predictability at subseasonal to decadal time scales.
- This PhD vacancy aims at exploring the relative merits of the new category of global climate models of very high resolution (10 kms or higher) to predict regional aspects of climate, including the impact of the initialisation, the necessary adaptations to the experimental set up to cope with limited computational resources, and the processes that could act as new sources of forecast quality.
Key Duties - Conduct numerical simulations to estimate model predictability, analysing the sources of predictability and key model errors through a processbased perspective.
- Explore the challenges that model initialisation poses at storm
- Access and analyse the set of equivalent multimodel simulations publicly available to test the robustness of the conclusions reached.
Requirements:
- Education
- MSc in atmospheric, ocean or climate sciences, applied mathematics, computer sciences or any related discipline.
- Essential Knowledge and Professional Experience
- Knowledge of processbased climate models of either the ocean and the atmosphere; familiarity with oceanatmosphere coupled models will be valued.
- Knowledge of climate predictability and prediction.
- Understanding of the challenges associated with the use of highperformance computers and the analysis of large databases.
- Additional Knowledge and Professional Experience
- Experience with version control systems (e.g., SVN or Git) will be valued.
- Experience in coding with scripting languages will be valued.
- Theoretical understanding of climate dynamics will be valued.
- Fluency in English
- Competences
- Ability to prioritise tasks and work under set deadlines.
- Ability to work as part of a highlycoordinated large team.
- Excellent written and verbal communication skills.
Conditions
- The position will be located at BSC within the Earth Sciences Department
- We offer a fulltime contract (37.5h/week), a good working environment, a highly stimulating environment with stateoftheart infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
- Duration: Temporary
- Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement
- Starting date: 01/10/2024
Applications procedure and process- A full CV in English including contact details
- A Cover Letter with a statement of interest in English, including two contacts for further references
- Applications without this document will not be considered
At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.
DeadlineOTM-R principles for selection processes**- BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
- For more information follow this link
