Reference: 586_25_ES_AC_R2
Job title: Postdoctoral researcher position on anthropogenic emission modelling (R2)
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 large-scale 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.
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We are particularly interested for this role 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.
We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.
If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.
Context And Mission
The Atmospheric Composition group from the Earth Science department at the BSC-CNS searches for a postdoctoral researcher responsible for the scientific developments of the in-house emission modeling tools and emission datasets of the department, including the High-Elective Resolution Modelling Emission System (HERMES) and Copernicus CAMS-related emission products. The position will oversee maintaining, reviewing and improving the databases and estimation methodologies implemented in HERMES, including the integration of non-inventoried sources such as traffic dust resuspension and commercial cooking activities. The postdoctoral researcher will also be responsible of performing direct and indirect validation works against independent bottom-up and top-down emission datasets and using our in-house atmospheric chemistry transport model (MONARCH) to constraint and improve our emission modelling approaches, as well as of providing support for the use and application of the emission tools in the context of other air quality modelling activities performed in the Department such as Copernicus CAMS or CALIOPE. The applicant will work closely with atmospheric scientists and computational engineers that will support the interpretation and analysis of the emission results obtained and the technical development of the tools.
Key Duties
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
Requirements
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
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: October
Applications procedure and process
All applications must be submitted via the BSC website and contain:
A full CV in English including contact details
A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system (“Concurso-Oposición”). The recruitment process consists of two phases:
Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. – 40 points
Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. – 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment@bsc.es.
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Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
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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