¡Activa las notificaciones laborales por email!
Mejora tus posibilidades de llegar a la entrevista
Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.
The Barcelona Supercomputing Center is seeking a postdoctoral researcher to analyze vegetation and land-use changes, contributing to significant Europe-wide projects. The successful candidate will develop high-resolution datasets and enhance climate model accuracy, within a stimulating and inclusive environment. Competitive salary and benefits are included.
Postdoctoral researcher on Land-Use / Land-Cover change and remote sensing of vegetation (R2)
Join to apply for the Postdoctoral researcher on Land-Use / Land-Cover change and remote sensing of vegetation (R2) role at Barcelona Supercomputing Center
Postdoctoral researcher on Land-Use / Land-Cover change and remote sensing of vegetation (R2)
4 days ago Be among the first 25 applicants
Join to apply for the Postdoctoral researcher on Land-Use / Land-Cover change and remote sensing of vegetation (R2) role at Barcelona Supercomputing Center
Get AI-powered advice on this job and more exclusive features.
Job Reference
372_25_ES_CVC_R2
Position
Postdoctoral researcher on Land-Use / Land-Cover change and remote sensing of vegetation (R2)
Closing Date
Friday, 13 June, 2025
Reference : 372_25_ES_CVC_R2
Job title : Postdoctoral researcher on Land-Use / Land-Cover change and remote sensing of vegetation (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
We are looking for an enthusiastic and talented researcher to analyze historical variability in vegetation and land use change, and produce novel high-resolution datasets of land-use / land-cover and vegetation characteristics in the historical period and future projections. The successful candidate will be responsible for the creation and assessment of time-varying land surface boundary conditions to be used in several climate model applications, with the aim of providing more accurate surface boundary conditions for climate projections and seasonal-to-decadal forecasting.
The offered position will primarily contribute to the Horizon Europe projects TerraDT ( and CONCERTO ( The TerraDT project aims to include novel processes into the cutting-edge Digital Twins of the Earth System, such as time-varying land cover and LAI (Leaf Area Index) and interactive aerosols with interactive dust emissions. The CONCERTO project aims to advance the understanding and modeling of carbon cycle processes within Earth System Models such as EC-Earth4.
The candidate will be responsible for the development and assessment of time-varying, high resolution (1 km) Land Use (LU) and Land Cover (LC) and Leaf Area Index (LAI) datasets. The analysis will leverage satellite-based data products and historical land-use data to reconstruct and extend land dynamics back to 1850 using land-use change modelling, spatial analysis and / or machine learning methodologies, as well as in the future using the newly developed Land-Use change scenarios for CMIP7. An independent verification of the Land Use and Land Cover (LULC) products will be done using regional products based on high-resolution satellite imagery before 1993.
This position will be hosted in the Climate Variability and Change (CVC) Group within BSC's Earth Science Department. The CVC Group undertakes fundamental research to (1) understand climate variability and change, including for climate extremes, (2) investigate global biogeochemical dynamics, and the effectiveness and impacts of carbon removal technologies to mitigate climate change, (3) develop new Earth System modeling capabilities, and (4) improve our ability to forecast the climate variations from one month to multiple decades into the future, both at global and regional scales.
The candidate will also have the opportunity to participate in other research activities within the CVC group. In particular, contributions are anticipated to the evaluation of the climate modelling experiments (including centennial-scale projections and seasonal-to-decadal scale climate forecasts) conducted by the CVC group using the EC-Earth Earth System Model which simulates the Global Carbon Cycle at timescales ranging from multi-annual to centennial. This will entail analyzing the contributions of vegetation and land-use change to the global carbon cycle in the projections and near-time predictions made by the CVC group.
Key Duties
Requirements
Conditions
Applications procedure and process
All applications must be submitted via the BSC website and contain :
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 :
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
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
Female
Male
Other
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 .
Data policy :
I accept the data policy
Other :
I confirm that the information given in this form is true, complete and accurate.
Leave this field blank
Seniority level
Seniority level
Internship
Employment type
Employment type
Contract
Job function
Job function
Research, Analyst, and Information Technology
Research Services
Referrals increase your chances of interviewing at Barcelona Supercomputing Center by 2x
Sign in to set job alerts for “Postdoctoral Researcher” roles.
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
J-18808-Ljbffr