Postdoc Researcher - Development of climate diagnostics (R2)
Job Reference
134_26_ES_ESS_R2
Position
Postdoc Researcher - Development of climate diagnostics (R2)
Closing Date
Friday, 27 March, 2026
Reference: 134_26_ES_ESS_R2
Job title: Postdoc Researcher - Development of climate diagnostics (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.
Look At The BSC Experience
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
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 Climate Services (CS) Team within the Earth System Services Group (ESS) is seeking a highly motivated researcher or research engineer to develop computationally-efficient climate diagnostics for climate indicators required by a number of climate adaptation use cases in a timely manner.
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 person appointed will be involved in different EU and national-funded projects, with a primary focus on the Destination Earth Climate Digital Twin project, whose aim is to combine cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide actionable impact-sector information on multi-decadal timescales. In line with this aim, the appointed candidate will be developing climate services for Phase 3 of the project based on state-of-the art, high-resolution global climate projections at multi-decadal time-scales for the renewable energy sector. The appointed candidate will also be responsible for developing and maintaining the software for the computation of the renewable energy indicators in an operational environment.
The selected candidate will develop algorithms that can provide a number of use cases with the basic numerical information from essential climate variables to compute a wide-range of indicators. The information will be produced while the climate simulations are running, so that the functions implemented will need to be computationally efficient, robust, and scalable.
The candidate will interact with those responsible to develop the use cases to identify the set of functions that will respond to their requirements and insert the calculations in a complex workflow. The candidate will benefit from interdisciplinary training opportunities tailored to his/her experience and interests. This position presents an opportunity to work alongside a wide range of leading international climate scientists delivering cutting-edge climate services to inform policy makers and stakeholders across Europe and worldwide.
We encourage applications from highly motivated candidates with demonstrated experience in statistical downscaling and AI and a strong interest in applied research in the context of climate services.
Key Duties
All applications must be submitted via the BSC website and contain:
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
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.
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.
For more information follow this link
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
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Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - 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
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
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134_26_ES_ESS_R2
Position
Postdoc Researcher - Development of climate diagnostics (R2)
Closing Date
Friday, 27 March, 2026
Reference: 134_26_ES_ESS_R2
Job title: Postdoc Researcher - Development of climate diagnostics (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.
Look At The BSC Experience
BSC-CNS YouTube Channel
Let's stay connected with BSC Folks!
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 Climate Services (CS) Team within the Earth System Services Group (ESS) is seeking a highly motivated researcher or research engineer to develop computationally-efficient climate diagnostics for climate indicators required by a number of climate adaptation use cases in a timely manner.
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 person appointed will be involved in different EU and national-funded projects, with a primary focus on the Destination Earth Climate Digital Twin project, whose aim is to combine cutting-edge global Earth-system models, impact-sector applications and observations into a unified framework to provide actionable impact-sector information on multi-decadal timescales. In line with this aim, the appointed candidate will be developing climate services for Phase 3 of the project based on state-of-the art, high-resolution global climate projections at multi-decadal time-scales for the renewable energy sector. The appointed candidate will also be responsible for developing and maintaining the software for the computation of the renewable energy indicators in an operational environment.
The selected candidate will develop algorithms that can provide a number of use cases with the basic numerical information from essential climate variables to compute a wide-range of indicators. The information will be produced while the climate simulations are running, so that the functions implemented will need to be computationally efficient, robust, and scalable.
The candidate will interact with those responsible to develop the use cases to identify the set of functions that will respond to their requirements and insert the calculations in a complex workflow. The candidate will benefit from interdisciplinary training opportunities tailored to his/her experience and interests. This position presents an opportunity to work alongside a wide range of leading international climate scientists delivering cutting-edge climate services to inform policy makers and stakeholders across Europe and worldwide.
We encourage applications from highly motivated candidates with demonstrated experience in statistical downscaling and AI and a strong interest in applied research in the context of climate services.
Key Duties
- Implement user-oriented climate diagnostics with computationally-efficient algorithms in python, R or a similar language
- Identify climate diagnostic requirements from a selected number of use cases and include them in the above mentioned algorithms
- Interact with scientists and engineers in the group, department, and other institutions
- Disseminate the research output in peer-reviewed scientific papers and international conferences and the code generated in open access outlet
- Education
- PhD in Applied Mathematics, Physics, Computing Engineering (or equivalent)
- Essential Knowledge and Professional Experience
- Proficiency in scientific programming in a suitable language (e.g., R, Python)
- Ability to abstract climate diagnostic requirements into mathematical concepts
- Ability to work in a professional environment within a transdisciplinary and international team
- Excellent written and verbal communication skills in English
- Experience working with stakeholders from the energy sector and the development of use cases.
- Additional Knowledge and Professional Experience
- Knowledge about workflow and data management, parallel computing and statistical analyses will be valued
- Basic knowledge about climate variability and change
- Competences
- Problem-solving, proactive, 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 (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: 22 days of holidays + 6 personal days + 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
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.
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.
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.
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.
For more information follow this link
Application Form
You are applying for the following job offer
Name and Surname *
Gender ** *
Female
Male
Other
Email *
Nationality** *
Where did you first see this job offer (Please indicate the name of the website, social media, referral etc.)? *
please choose one of this and if needed describe the option : - BSC Website - Euraxess - Spotify - 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
Indicate what BSC department/s you want to apply.
Computer Sciences
CASE
Life Sciences
Earth Sciences
Indicate what research group/s you want to apply.
Upload CV (select the file, then click the Upload button) *
Please, upload your CV document using the following name structure: Name_Surname_CV
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx.
Cover Letter (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_CoverLetter
Files must be less than 3 MB.
Allowed file types: txt rtf pdf doc docx zip.
Other Documents (optional) (if so, select the file and then click the Upload button)
Please, upload your CV document using the following name structure: Name_Surname_OtherDocument
Files must be less than 10 MB.
Allowed file types: txt rtf pdf doc docx rar tar zip.
- Consider that the information provided in relation to gender and nationality will be used solely for statistical purposes.
I accept the data policy *
Other: *
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank