LIFE-ACCLIMATE

Descripción

Offer Description: LIFE-ACCLIMATE: Cultivating Resilience: Climate Change Adaptation Strategies for Greenhouses to Enhance Yield and Resource Efficiency RESEARCH LINE: Image analysis and early detection of pests and diseases in greenhouse crops. TASKS: Image acquisition and pre-processing, Database creation, training and validation of classification models, early detection and interpretation, and integration with decision support systems. Requirements: Research Field Physics » Other Education Level Bachelor Degree or equivalent Research Field Mathematics » Computational mathematics Education Level Bachelor Degree or equivalent Skills/Qualifications 1) Training or experience in data analysis, pattern recognition, machine learning, image processing, geographic information systems or the monitoring of agri-environmental systems using sensors and drones; 2) Experience in using data from aerial and ground-level sensors; 3) Knowledge of sensor data extraction processes and the analysis of results; 4) Ability to organise, clean and document data using spreadsheets or other IT tools; 5) Attention to detail and the ability to consistently apply classification and quality control protocols; 6) Ability to work as part of a team and to draft technical reports. The following will be considered an advantage: Knowledge of agro-environmental systems and the ability to interpret information about plants and their environment. Specific Requirements - A degree in Physical Sciences, Mathematical Sciences, Computer Engineering or Agricultural Engineering. - Demonstrable experience in research, technical support or experimental activities in environmental, agricultural, biological or agrifood contexts. - Ability to learn and use the project's image annotation tools. - Residence in Spain / valid work and residence permits Languages ENGLISH Level Excellent Languages SPANISH Level Excellent Research Field Environmental science » Natural resources management Years of Research Experience 1 - 4 Research Field Mathematics » Computational mathematics Years of Research Experience 1 - 4 Additional Information: Benefits The successful applicant will join the CEIGRAM-UPM team participating in LIFE-ACCLIMATE and contribute to data preparation and analysis for plant condition assessment. Training will be provided in the team's annotation protocols and tools. CEIGRAM is a centre of excellence and knowledge generation dedicated to conducting research and developing methodologies designed to address the growing concern regarding risk management strategies – whether relating to production, markets or the environment – faced by the agricultural sector. The successful candidate will benefit from the training activities organised for all researchers and the management team. Eligibility criteria THE EVALUATION COMMITTEE: Ana Mª Tarquis (PI of the project, CFull Professor at UPM), Andrés Almeida (Associate Professor and project researcher) and Esperanza Luque (Project Manager and Administrator of CEIGRAM). SELECTION CRITERIA: Essential requirements: a relevant university degree, demonstrable experience in the specified fields and basic data management skills. Assessment of merits: 1. Relevant agroenvironmental research, technical support or experimental experience: 30%. 2. Training or experience in data analysis, pattern recognition, imagery, GIS or sensor-based monitoring: 25%. 3. Experience in data organisation, procedure documentation and quality control: 25%. 4. Technical reporting and communication of results: 10%. 5. Postgraduate training relevant to the position: 5%. 6. English for scientific and technical work: 5%. Selection process DOCUMENTATION TO BE SUBMITTED: Applicants should send a concise CV, limited to three pages, and a motivation letter, limited to 600 words, to [email protected] , with the subject line “LIFE-ACCLIMATE – Image analysis and annotation”. Supporting documents will be requested as needed to verify eligibility and claimed merits. Appl

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Fuente

Fuente: euraxess.ec.europa.eu