Postdoctoral researcher - Downscaling for Climate Services (R2)

Job Reference



Postdoctoral researcher - Downscaling for Climate Services (R2)

Closing Date

Thursday, 30 June, 2022
Reference: 170_22_ES_ESS_R2
Job title: 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, and is a hosting member of the PRACE European distributed supercomputing infrastructure. 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 770 staff from 55 countries.

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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.g. 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


  • 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.g., 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


  • The position will be located at BSC within the Earth Sciences Department
  • We offer a full-time contract, a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, tickets restaurant, private health insurance, fully support to the relocation procedures
  • Duration: Temporary - 2 years renewable
  • 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 made through BSC website and contain:

  • A full CV in English including contact details
  • A Cover Letter with a statement of interest in English, including two contacts for further references - Applications without this document will not be considered

    In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.

    The panel will make a final decision and all candidates who had contacts with them will receive a feedback with details on the acceptance or rejection of their profile.

    At BSC we are seeking continuous improvement in our recruitment processes, for any suggestions or feedback/complaints about our Recruitment Processes, please contact recruitment [at] bsc [dot] es.

    For more information follow this link

  • Deadline

    The vacancy will remain open until 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 planels 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.
    For more information follow this link

    Application Form

    please choose one of this and if needed describe the option : - BSC Website - Euraxess - HiPeac - LinkedIn - Networking/Referral: include who and how - Events (Forum, career fairs): include who and how - Through University: include the university name - Specialized website (Metjobs, BIB, other): include which one - Other social Networks: (Twitter, Facebook, Instagram, Youtube): include which one - Other (Glassdoor, ResearchGate, job search website and other cases): include which one
    Please, upload your CV document using the following name structure: Name_Surname_CV
    Files must be less than 3 MB.
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    Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
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    Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
    Files must be less than 10 MB.
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    ** Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.