Research Qualified Technician For Scientific Activities Of The Severo Ochoa Program And Dynafun Project (Ref. 26-030-95002)

Description du poste:

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 EUR30.334,66 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.

JOB OFFER IN PDF