Research Engineer On Aerosols Forecast Products/ | Z43

hace 2 semanas

Barcelona, España Barcelona Supercomputing Center (Bsc) A tiempo completo

Detalles del empleo
Tipo de empleo: Jornada completa
Ubicación: Barcelona, Barcelona provincia
Descripción completa del empleo
Job Reference: 483_24_ES_DAFA_RE1/RE2
Position: Research Engineer on aerosols forecast products (RE1/RE2)
Closing Date: Tuesday, 01 October, 2024
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, and is a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe). The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress.
We are particularly interested in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured.
Context And Mission
We are looking for an enthusiast research engineer to join the Atmospheric Composition (AC) group within the Earth Sciences department at the BSC-CNS. The AC group aims at better understanding and predicting the spatiotemporal variations of atmospheric pollutants along with their effects upon air quality, weather and climate.
The BSC hosts the Barcelona Dust Regional Center, which provides forecasts of mineral dusts over Northern Africa, Middle East and Europe with an ensemble of state-of-the-art numerical models. The AC group also develops and maintains its own forecast model MONARCH.
The successful candidate will work along with BSC researchers, atmospheric modelling and data management experts to deliver high quality training, covering multiple aspects from the evaluation of forecast products to the exploitation of tailored aerosols products for different applications.
Key Duties
Collect forecast and observational aerosols data
Prepare hands-on training sessions based on forecast and observational data
Contribute to workshops and summer schools training sessions
Write documentation, user guides and technical reports
Contribute to dissemination and communication activities on aerosols science
Requirements
Education: A master degree on computer sciences, physics, mathematics, engineering or environmental science
Essential Knowledge and Professional Experience:
Proficiency with Python or similar programming languages
Experience in writing technical documentation in English
Experience with Geo-spatial data
Additional Knowledge and Professional Experience:
Experience in teaching and/or organizing training sessions
Knowledge of atmospheric science (models and/or observations)
Competences:
Very good interpersonal skills
Excellent written and verbal communication skills
Ability to take initiative, prioritize and work under set deadlines
Ability to work both independently and within a team
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, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures.
Applications procedure and process
All applications must be made through BSC website and contain:
A full CV in English including contact details
A Cover Letter with a statement of interest in English, including two contacts for further references
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. The panel will make a final decision and all candidates who had contacts with them will receive feedback.
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.

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