CREAF is seeking a qualifield technical to work on the Severo Ochoa ECO-RESILENCE 360° (“Transformative Ecology to Manage the Future of Ecosystems and Human Wellbeing”) with ref. CEX2023-001340-S and DYNAFUN project (“Vegetation dynamics in the Iberian landscapes from a structural and a functional perspective: assessing early warning signals of ecosystem disturbance”) with ref. PID2023-152719OB-C22, funded by Ministerio de Ciencia, Innovación y Universidades and Agencia Estatal de Investigación. financed Spanish Government.
CREAF through EMF (https://emf.creaf.cat/) and GRUMETS (https://www.grumets.cat/) research groups 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.
A full-time contract is offered (37.5 hours per week), with a starting date of July 1st, 2026. The position will last at least until 31/03/2028, with the possibility of extension if required and if the budget allows. The offered salary is €30.334,66 gross per year (corresponding to category T3B).
MAIN FUNCTIONS:
The research technician will support CREAF research team for the ECO-RESILENCE 360 “Transformative Ecology to Manage the Future of Ecosystems and Human Wellbeing” project, and for the DYNAFUN “Vegetation dynamics in the Iberian landscapes from a structural and a functional perspective: assessing early warning signals of ecosystem disturbance”.
In particular for these specific tasks:
Collecting, processing and generating remote sensing products.
Updates, control and execution of remote sensing and GIS batch processing and R statistical scripts.
Comparing the predictions obtained from process-based forest models with remote sensing products from different sources (mainly Copernicus and USGS).
Integrating remote sensing products within process-based forest modeling workflows.
Support to the processing (e.g., filtering) of climate time series and remote sensing (e.g., products composite) in the DynaFun tasks.
Active participation in writing progress reports, deliverables and scientific publications.
REQUIREMENTS:
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, Geodesy, Cartography, Ecology or equivalent.
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.
ASSESSABLE CONDITIONS:
Remote sensing and GIS applications for vegetation monitoring and terrestrial water ecosystems.
Expertise in analysis of long times series of Remote Sensing vegetation indices.
Advanced user of MiraMon software.
Expertise in forest water balance modelling (e.g., MEDFATE) or hydrological modeling (e.g., SWAT).
Expertise in Open Science (FAIR principles).
Contributions to publications or conferences in the mentioned topics (added value as main author /speaker).
Candidates with a recognised disability equal to or greater than 33% will be considered and prioritised, provided the disability is compatible wiht proper job performance.
SELECTION PROCESS AND CRITERIA:
Admission of candidates: Applicants must apply for the offer and attach the requested documentation, a curriculum vitae in English and a cover letter (maximum 500 words), until June 7th, 2026. Applications submitted to any portal other than the CREAF job board and the instructions included therein will not be accepted.
Pre-selection: assessment of compliance with the minimum requirements of the job offer.
Selection: evaluation of the pre-selected candidates through scoring based on objective criteria, interviews with a shortlist of candidates, and a proposed exercise.
Final decision: if a suitable candidate is identified, they will be formally informed of their selection, and all other participants in the selection process will be notified by email.