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
We are looking for an outstanding researcher 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. 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 position will focus on improving our understanding of the aerosol optical properties as a function of size, composition, shape and mixing state. The candidate will use field and laboratory data to better constrain aerosol optical properties in models and will contribute to model developments, evaluation and analyses. The research will introduce and apply novel AI methodologies to enhance model capabilities and improve scientific understanding. The work of the candidate will be linked to multiple efforts of the group, from climate modeling and understanding aerosol-radiation-cloud interactions, to the processing of observational data with novel approaches to provide constrained and model-ready optical properties. We seek a profile with a comprehensive understanding of Earth system modelling frameworks, and the ability to coordinate and help integrate model developments in a collaborative environment.
The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan. For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s
Key Duties
- Development of new features related to aerosol-cloud-climate interactions
- Contribution to the coordination and integration of model developments in complex Earth system model frameworks, including support to the definition of the group’s model development strategy
- Treatment and use of observations for model improvement and evaluation
- Contribution to research on aerosol-cloud-radiation-interactions
- Further develop and apply AI knowledge and skills
- Development of original research and analysis strategies
- Participation in collaborative projects with partner institutions
- Presentation of results at international meetings
- Publication of results in high-impact peer-reviewed journals
- Contribution of ideas for new research projects
- Contribution to the intellectual life of the AC group, including meetings and collaborations
- Other duties include contributing to the development common analysis tools; assisting in grant applications; and other duties as assigned
Requirements
- Education
- PhD in Atmospheric Chemistry, Environmental engineering, Meteorology, Physics, or related discipline
- Essential Knowledge and Professional Experience
- Advanced understanding of atmospheric aerosol and aerosol optical properties (3-5 years)
- Experience in atmospheric, climate, chemistry or aerosol model developments (3-5 years)
- Experience with UNIX/LINUX environments and with scripting languages (such as bash) (3-5 years)
- Experience with atmospheric science data formats (NetCDF) and with scientific software and tools (CDO, NCO, Python or R) (3-5 years)(such as bash)
- Good record in obtaining grants / research funds
- Additional Knowledge and Professional Experience
- Previous experience on mineral dust research and/or model developments will be highly valued
- Demonstrated experience in machine learning / AI will be valued
- Experience with revision control systems (e.g., SVN or Git) in large software projects
- Strong mathematical background is desirable.
- Competences
- Ability to work in a team and in a multi-cultural environment.
- 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
- Capacity to work in multidisciplinary environments
Conditions
- The position will be located at BSC within the Earth Sciences Department
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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
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Duration: 31/12/2028
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Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement + 6 personal days
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Salary: 55.000€
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Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc.
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Starting date: asap
Applications procedure and process
All applications must be submitted via the BSC website and contain:
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A full CV in English, including contact details.
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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:
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Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
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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 [at] bsc [dot] es.
For more information, please follow this link.
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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