CREAF is seeking a research technician to mostly work on DynaFun project (“Vegetation dynamics in the Iberian landscapes from a structural and a functional perspective: assessing early warning signals of ecosystem disturbance”), with ref. funded by Ministerio de Ciencia, Innovación y Universidades and Agencia Estatal de Investigación and financed by the Spanish Government and with few complementary tasks in TAECliTe project (“Teledetecció i Anàlisi Espacial per al Clima i el Territori”), with ref. 39885 and funded by FUNDACIÓ EMYS.
DynaFun project: DynaFun aims to improve the understanding and monitoring of changes in the vegetation of the Iberian Peninsula through two different approaches: the exploration of structural changes in land use and land cover types (LULC) and the exploration of functional changes based on ecosystem attributes (EFA) and functional types (EFT).
TAECliTe project: TAECliTe researches in methods and terrestrial Ecology applications of Remote Sensing for understanding the spatiotemporal patterns of climate change in heterogenous landscapes.
A full-time contract is offered (37.5 hours per week) ) with planned incorporation in October 2026 will last until September 2027. The salary offered is 26.542.83€ gross per year (corresponding to category T4A).
CREAF (https://www.creaf.cat/) and GRUMETS (https://www.grumets.cat/) research group provide a highly stimulating environment and a career service support to enhance your professional development.
We promote a diverse and inclusive environment and welcomes applicants regardless of age, functional diversity, gender, nationality, ethnicity, religion, sexual orientation or gender identity.
CREAF is committed to reconcile a work and family life of its employees and we offer the possibility to benefit from flexible working hours.
MAIN FUNCTIONS
The research technician will support CREAF research team for the DynaFun project “Vegetation dynamics in the Iberian landscapes from a structural and a functional perspective: assessing early warning signals of ecosystem disturbance”, for these specific tasks:
Collecting, processing and generating remote sensing (RS) products.
Collecting, filtering, processing climate time series.
Generating time series of spatialized drought indices.
Correlation analysis of the land use land cover with hydroclimate variables and ecosystem indicators from RS
Updates, control and execution of remote sensing and GIS batch processing and R statistical scripts.
Active participation in writing progress reports, deliverables and scientific publications.
And totally similar tasks related to TAECLITE project.
Bachelor’s degree in Ecology, Biology, Environmental Science, Geography, Physics or equivalent; Geodesy, Cartography, Forest, Agricultural Engineer or equivalent.
Master’s degree in Remote Sensing and GIS, Cartography, Environmental Biology, Ecology or equivalents.
Statistical analysis and programming skills using R language.
Advanced Remote Sensing and GIS skills.
Intermediate / advanced level of oral and written English.
Experience in batch and script processing.
ASESSABLE CONDITIONS
Remote sensing and GIS applications for vegetation monitoring and terrestrial water ecosystems.
Expertise in processing and analysis of long times series of Remote Sensing products.
Expertise in processing and analysis of long times series of climate variables, in particular drought indices.
Advanced user of MiraMon software.
Contributions to publications or conferences in the topics mentioned (added value as main author /speaker).
Candidates with a certified disability of 33% or more will be prioritized, provided the disability is compatible with the position's responsibilities.
SELECTION PROCES AND CRITERIA
Application submission: Interested candidates must apply to the position and attach the required documentation, an English CV, and a cover letter (maximum 500 words) until September 8th, 2026. Applications submitted through any portal other than CREAF’s job board or not following the indicated instructions will not be accepted.
Pre-selection: Assessment of compliance with the minimum requirements of the job offer.
Selection: Evaluation of shortlisted candidates based on objective criteria, interviews with a short list of candidates, and completion of a proposed exercise.
Final decision: If a suitable candidate is identified, they will be formally notified of the selection, and all other participants in the process will be informed by email.