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12770 - post doctoral researcher

CMCC Foundation - Centro Euro Mediterraneo sui Cambiamenti Climatici
50.000 € - 70.000 € all'anno
Pubblicato il 16 settembre
Descrizione

ROLE The Post doctoral researcher will report to the division Impacts on Agriculture, Forests and Ecosystem Services and will contribute to ongoing European and National research projects, including the analysis and interpretation of field data, as well as the reporting and communication of results. In particular, they will support research focused on understanding and enhancing ecosystem services in agricultural landscapes through their assessment and spatial mapping, applying integrative approaches that combine field data collection, geospatial analysis, and modeling techniques. A core aspect of the role will involve the development of robust indicators and decision-support tools designed to guide the creation of multifunctional and climate-resilient landscapes. This includes supporting the design and implementation of nature-based solutions and agroecological strategies that improve soil health and enhance ecosystem service delivery while promoting environmental sustainability. The ideal candidate will integrate agronomic knowledge with landscape ecological principles to help identify and support sustainable transition pathways in farming systems, aligned with climate resilience and ecological restoration goals. RESPONSIBILITIES According to the level of expertise and skills, the Post doctoral researcher will support the group on Landscape Ecology and Agronomy, with: Analyzing and interpreting data on ecological indicators, including soil health and biodiversity Assessing ecosystem services in agroecosystems and other land-uses Conducting quantitative and/or qualitative assessments of the trade-offs and synergies among ecosystem services in agroecosystems Identify and assess indicators of sustainable agroecological practices and their effectiveness Managing and reporting project activities Communicating and disseminating scientific results Developing new research ideas and funding acquisition REQUIREMENTS PhD in Agroecology, Agronomy, Soil Science, Environmental Science or equivalent subjects. Experience in measuring and assessing environmental indicators Familiarity with geospatial analysis and/or modelling techniques Very good knowledge of the English language. Accuracy and good analytical skills. Good communication skills for both specialized and non-specialized audience An empathetic, teamwork oriented and inclusive attitude. DURATION, COMPENSATION & BENEFITS The opportunity will be issued both internally and externally. The Managers will be based in Viterbo and Sassari CMCC offices. The appointment period will initially be 24 months starting from January 2026, with a gross annual salary range of 28,000 - 35,000 Euros depending on seniority and previous experience. Tenure can be granted from 2 to 4 years after being appointed as a junior researcher. Welfare package for a minimum 12 months contract. Flexible working time as per internal policies. Support during the immigration process, if needed. PROTECTED CATEGORY Belonging to legally protected categories (ex L. 68/99) will constitute a preferential condition. Some fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs 147/2015 (for repatriates) or Dl 78/2010 (for foreigners). CMCC is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics. Please omit from your CV any data you or we might consider discriminatory. This job announcement is an invitation to express interest in the above-mentioned CMCC Position. Applicants responding to this posting declare that they have read, understood, and agreed to the Official Rule for the CMCC Personnel recruitment. We will keep your information on file for up to 1 year. J-18808-Ljbffr

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