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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via imaggeo.egu.eu)

Job advertisement Research engineer on the exploitation of remote sensing data for atmospheric composition modelling and assimilation (RE2)

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Research engineer on the exploitation of remote sensing data for atmospheric composition modelling and assimilation (RE2)

Position
Research engineer on the exploitation of remote sensing data for atmospheric composition modelling and assimilation (RE2)

Employer

Barcelona Supercomputing Center


Location
Barcelona, Spain

Sector
Academic

Relevant division
Atmospheric Sciences (AS)

Type
Contract

Level
Experienced

Salary
28k - 40k

Preferred education
Master

Application deadline
16 April 2024

Posted
11 March 2024

Job description

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 is currently composed of about 30 people among researchers, engineers and students of different nationalities. It aims at better understanding and predicting the spatiotemporal variations of atmospheric pollutants along with their effects upon air quality, weather and climate. This is addressed through the continuous development and application of numerical models over multiple scales, from weather to climate and from global to urban scales.

The AC group develops and maintains its own forecast model MONARCH, which is a coupled meteorological-chemistry model that can be run at global and regional scales to simulate gaseous chemistry and aerosols plus their feedbacks on radiation. MONARCH is also coupled to a data assimilation scheme for gases and aerosols. The AC group also contributes to the development of the Earth System model EC-Earth for atmospheric composition climate research.

In this framework, ground and satellite observations of the atmospheric composition are fundamental to evaluate model developments, to produce forecasts with data assimilation, and to inform on the quality of the bottom-up emissions. In addition, they will be used for near real time plume detection algorithms and diverse applications of AI.

The AC group developed internal analysis tools (PROVIDENTIA) and long-term databases (GHOST) that cover a large spectrum of ground observations related to air quality. The successful candidate will work along with PROVIDENTIA, GHOST, atmospheric modelling and data management experts to integrate satellite retrievals in these tools, covering multiple aspects from the data collection and management to the end use.

The effective utilization of satellite observations and their integration into user-end applications is crucial for achieving the objectives of the larger initiative on the “Modernization of observation networks and digitalization of production processes for the development of intelligent meteorological services in the context of climate change” in the framework of the European Recovery, Transformation, and Resilience Plan funded by the European Union – Next Generation EU. Female candidates are especially encouraged to apply.

Key Duties

Implement satellite and vertical sounding instruments processing in the PROVIDENTIA and GHOST frameworks

Collect columnar and vertically resolved observations from current generation of satellite and ground-based remote sensing products (e.g., VIIRS, IASI, TROPOMI, EARLINET) for aerosols and some key trace gases

Implement quality assurance procedures for remote sensing observations in-line with GHOST standards

Develop statistics and score-boards for model evaluation and experiments comparison

Train and assist modellers and satellite data users within the team

Contribute to code documentation, scientific publications, and technical reports

Contribute to the data management of remote sensing products in the AC group

Requirements

Education

- A master degree on computer sciences, physics, mathematics or related disciplines

Essential Knowledge and Professional Experience

- Understanding of the fundamentals of satellite retrievals and atmospheric remote sensing.

- Proficiency in Python.

- Experience working in Unix/Linux environments.

- Experience in collaborative code development and the use of version control systems.

Additional Knowledge and Professional Experience

- Experience in processing L2 satellite products (aerosols and/or trace gases).

- Experience with observations quality control and statistical analysis.

- Experience with atmospheric composition models.

- Experience with parallel programming and HPC environments.

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, 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

Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona

Starting date: asap