Researcher - Vegetation dynamics modeller (R2)

Job Reference



Researcher - Vegetation dynamics modeller (R2)

Closing Date

Wednesday, 31 March, 2021
Reference: 25_21_ES_CP_R2
Job title: Researcher - Vegetation dynamics modeller (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 700 staff from 49 countries.

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Context And Mission

The position is hosted in the Climate Prediction Group (CPG) within BSC’s Earth Science Department. The Climate Prediction Group aims at developing climate prediction capability for time scales ranging from a few weeks to a multiple decades into the future, and from regional to global scales. More recently, the CPG has been developing an expertise on near-term prediction and projection of the global carbon cycle with the EC-Earth-CC Earth System Model.

The offered position is funded by the European H2020 projects LANDMARC and 4C. LANDMARC explores the potentials for land-based climate change mitigation, whereas the 4C project aims to establish near-term prediction systems of climate and atmospheric CO2 growth rate to assist the implementation of the Paris agreement.

The successful applicant will contribute within the LANDMARC project to the development of a modelling system which integrates a global land-use model into an Earth System Model in order to study the effects of LMT (Land-based mitigation technology) scenarios on the global carbon cycle and atmospheric processes. The applicant will also participate in the 4C project to study the contribution of vegetation and land-use change to atmospheric CO2 variability and predictability. The candidate will as well have the opportunity to contribute to the scientific planning and development of the next generation of the EC-Earth ESM, version 4.

Key Duties

  • Contribute to the development of a model system that combines a global land-use model with an earth system model, focusing on the vegetation/land use aspects
  • Analyze the experiments performed using the model system and LMT scenarios developed in the LANDMARC project, in regard of effects on land-use change, the carbon cycle and atmospheric processes
  • Analyze the contributions of vegetation and land-use change to near-time prediction of the global carbon cycle
  • Participate in networking, dissemination, publication and grant preparation activities
  • The candidate will work closely with scientists within the Climate Prediction Group and other groups of the Earth Sciences Department


  • Education
    • PhD in ecology, atmospheric or climate science, or a related discipline
  • Essential Knowledge and Professional Experience
    • Experience in working with Dynamic Vegetation models and/or Land-use change models. Experience with LPJ-GUESS is highly valued.
    • Proven ability to prepare and submit manuscripts to peer-reviewed scientific journals
    • Well-established scientific network in vegetation, land-use and climate modelling
    • A demonstrated ability to analyse climate and vegetation data
    • Programming skills: scripting (e.g. bash, python), programming (Fortran, c++) data analysis and visualization software (e.g. CDO, NCO, R, Python, QGis)
  • Additional Knowledge and Professional Experience
    • Interest and capacity in participating in the writing and, when possible, leading the preparation of research and computing proposals
    • Knowledge of version control systems (git, svn, cvs…)
    • Interest in tutoring and/or advising master and PhD students
    • Previous postdoctoral experience will be valued
  • Competences
    • Fluency in spoken and written English, while fluency in other European languages will be also valued
    • Highly collaborative spirit and ability to work as part of a large, strongly-coordinated team and to continuously share both knowledge and tools


  • 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, ideally before June 2021

Applications Procedure

All applications must include:

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

  • A full CV in English including contact details


The vacancy will remain open until suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.

Diversity and Equal Opportunity Employment

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.
This position is reserved for candidates who meet the requirements and have the legal status of disabled persons with a degree of disability equal to or greater than 33%. In case there are no applicants with disabilities that meet the requirements, the rest of the candidates without declared disability will be evaluated.

Application Form

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.
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.
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.