POSTDOCTORAL RESEARCHER - DOWNSCALING FOR CLIMATE SERVICES (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 staff from 60 countries.
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In instances of equal merit, the incorporation of the under-represented sex will be favoured.
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Context And Mission The Climate Services (CS) Team within the Earth System Services Group (ESS) is seeking a highly motivated postdoctoral scientist to conduct cutting-edge methodological research on statistical and machine learning downscaling methodologies for climate predictions at sub-seasonal to decadal timescales.
The mission of the CS Team is to apply state-of-the-art scientific climate knowledge for the co-development of actionable climate information and solutions relevant for key societal sectors (e.
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agriculture, renewable energy, health) in their adaptation to climate change.
The CS Team is part of the Earth System Services Group (ESS) within the Earth Sciences Department, whose mission is to research the impact of weather, atmospheric chemistry and climate upon socio-economic sectors, including renewable energy, agriculture, water management, forest fires, urban development and health and demonstrate the ongoing value of earth system services to society and the economy.
The selected candidate will identify and apply statistical and machine learning downscaling techniques to sub-seasonal and seasonal predictions at both reginonal and local scales to fulfill stakeholders needs.
The candidate will tackle research questions related to the increase of climate predictions spatial resolution for decsion-making and its impact in both skill and reliability of the climate information.
The candidate will benefit from interdisciplinary training opportunities tailored to their experience and interests.
The research will be positioned within the context of WMO’s Global Framework for Climate Services (GFCS), whose aim is to provide actionable climate information to key sectors of society.
This position presents an opportunity to work alongside a wide range of leading international climate scientists delivering cutting-edge climate services for the health sector to inform policy makers across Europe and worldwide.
The position holder will enjoy joining one of the leading and most dynamic European groups in the field of climate services.
Successful candidates will benefit from expert training and BSC-CNS staff benefits.
international multidisciplinary scientific environment and advanced applied research training.
We encourage applications from highly motivated candidates with demonstrated experience in statistical downscaling and AI and an strong interest in applied research in the context of climate services.
Key Duties Formulate and apply statistical and machine learning algorithms to increase the spatial resolution of the sub-seasonal and seasonal climate predictions following stakeholders requirements Disseminate research outputs in peer-reviewed scientific papers and international conferences Interact with scientists in the group, department, center and other institutions in Barcelona to enhance synergies Apply for competitive grants and projects Engage with stakeholders and policy makers Apply for competitive grants and projects Engage with stakeholders and policy makers Requirements Education BSc and MSc in Physics, Enviromental Sciences, Mathematics (or equivalent) Essential Knowledge and Professional Experience PhD in atmosperic sciences, applied statistics or related field Experience in data management and statistical analyses Proficiency in scientific programming in a suitable language (e.
., R, Python) Excellent written and verbal communication skills in English, demonstrated in scientific publications Ability to work in a professional environment within a transdisciplinary and international team Additional Knowledge and Professional Experience Knowledge on some of the following topics.
statistical downscaling, machine learning, multi-model combination techniques and bias adjustments techniques Experience working with stakeholders or decision-makers (not mandatory but desirable) Competences Problem-solving, pro-active, result-oriented work attitude Excellent communication skills Conditions The position will be located at BSC within the Earth Sciences Department We offer a full-time contract (37.
h/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.
As soon as possible 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 [at] bsc [dot] 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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