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Phd Student
hace 3 meses
Aerosols constitute an important component in the physics and chemistry of the atmosphere, and have profound effects on the atmospheric radiative balance and cloud formation, and yet the uncertainties about aerosols concentrations and distributions, and about their life cycle are considerable.
The recent advances in numerical modeling developments, observational capabilities, information technologies - and in particular High Performance Computing (HPC) - have contributed to a better understanding of aerosol processes and a better quantification of aerosol impacts upon key sectors of society and economy.
The synergistic use of the three (model, observations, HPC) has played the most pivotal role in those advances.Observations from new generation sensors (e.g., from the Sentinel, EPS-SG and EarthCARE missions) and state-of-the-art modeling combined with advanced data assimilation algorithms will help to further advance our knowledge of atmospheric aerosols and of their impact in the Earth system.
The PhD position will be funded by a grant for pre-doctoral contracts for the training of doctors under the framework of the State Program for the Promotion of Talent and its Employability in R + D + i under the umbrella and linked to the SPECIES project.
SPECIES aims to assess the impact of seamlessly correcting the burden, size and absorption of modeled aerosol particles with observations from new generation sensors at multi scales.
**Key Duties- Undertake original research on novel data assimilation methodologies to constrain aerosol composition
- Collection and processing of novel Earth System observations for data assimilation (i.e. satellite, insitu)
- Advance the BSC data assimilation package (e.g. development of new observation operator,...)
- Participate in collaborative projects with partner institutions
- Presenting research findings at international conferences; writing manuscripts in top peer review publications; and other duties as assigned
Education
Master's degree in physics, mathematics, geosciences or a related discipline
Essential Knowledge and Professional Experience
- Knowledge in environmental, atmospheric sciences
- Previous experience in data assimilation will be highly valued
- Experience with atmospheric composition (modeling or observations; gases or aerosols) is desirable Knowledge of atmospheric science data formats (such as NetCDF), scientific tools (e.g., CDO, NCO) and data visualization will be valued
- Good computing skills in a highlevel computer language (such as FORTRAN, C or Python) Experience with revision control systems (e.g., SVN or Git) will be valued
- Fluency in english
- 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
- 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: Openended 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: December 2023
