Overview Postdoctoral researcher position on anthropogenic emission modelling (R2) Closing Date: Thursday, 23 October, 2025 Job Reference: 586_25_ES_AC_R2 Job title: Postdoctoral researcher position on anthropogenic emission modelling (R2) Employer: Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) Context And Mission The Atmospheric Composition group from the Earth Science department at the BSC-CNS seeks a postdoctoral researcher responsible for the scientific developments of the in-house emission modelling tools and emission datasets, including the High-Elective Resolution Modelling Emission System (HERMES) and Copernicus CAMS-related emission products. The role includes maintaining, reviewing and improving databases and estimation methodologies implemented in HERMES, integrating non-inventoried sources such as traffic dust resuspension and commercial cooking activities, performing validation against independent bottom-up and top-down emission datasets, and using MONARCH to constrain and improve emission modelling approaches. The applicant will support the use and application of the emission tools in other air quality modelling activities (e.G., Copernicus CAMS or CALIOPE) and work closely with atmospheric scientists and computational engineers. Responsibilities Update and development of the databases underlying the emission modelling tools Development of methodologies to update and improve emission estimates Provision of quality assessment, evaluation and services of the emission modelling tools Support the implementation and application of the emission modelling tools in the context of air quality modelling activities Qualifications Education A Ph.D. degree in environmental engineering, physics, data science, remote sensing or similar Essential Knowledge and Professional Experience Strong experience in atmospheric emissions and characterization of emission sources Demonstrated scientific expertise, including but not limited to a record of scholarly publications Experience in programming and code development (python, R) Proven ability to publish manuscripts in peer-reviewed scientific journals Fluent English, both written and spoken At least 1 year experience in similar fields Additional Knowledge and Professional Experience Experience with revision control systems (e.G., SVN or Git) Experience in numerical air quality modelling Experience with GIS data and tools 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 Originality and critical thinking in assessing the quality of data from different sources Ability to initiate and maintain extensive contacts within the scientific community Conditions The position will be located at BSC within the Earth Sciences Department Full-time contract (37.5h/week) with a good working environment and state-of-the-art infrastructure; flexible working hours; extensive training plan; restaurant tickets; private health insurance; relocation support Duration: Open-ended contract due to project and budget considerations Holidays: 23 paid vacation days plus 24th and 31st of December Salary: competitive and commensurate with qualifications and cost of living in Barcelona Starting date: October Applications procedure and process Applications must be submitted via the BSC website and include: A full CV in English including contact details A cover/motivation letter in English specifying areas of interest, and two references Applications without the required document will not be considered Notes: The recruitment process follows a competitive examination system (Concurso-Oposición) with curriculum analysis and an interview phase, aiming for a gender-balanced panel and adherence to Open, Transparent and Merit-based Recruitment (OTM-R) principles. Feedback will be provided to participants. For questions about recruitment, contact Deadline The vacancy remains open until a suitable candidate is hired. Applications will be regularly reviewed. #J-18808-Ljbffr