In-situ and remote-sensed based phenotypic characterization of wild fruit species (Crop wild relatives CWR) spontaneously growing in forest environments

Position: Post-doctoral research appointment Institute: Uni. Basilicata
Posted on: 19/03/2026 Deadline: 22/04/2026

Scientific-Disciplinary Group

07/AGRI-03 - Arboriculture And Forest Systems

Description

The research program aims to perform in-situ phenotypic characterization, at both stand and tree scales, of wild fruit species (Crop Wild Relatives, CWR) spontaneously growing in forest environments. Phenotypic characterization at the stand scale is based on the analysis of seasonal patterns at the European scale of the remotely sensed spectral index (PPI) at multi temporal scale in wild fruit stands. In-situ phenotyping of CWR at the tree scale is based on the survey and analysis of plant morphometric characteristics (leaves, flowers, fruits, dendrometric variables) and the identification of plant structural diversity indices through the use of terrestrial laser scanning. The research program also includes teaching collaboration on courses related to research activities, both in terms of classroom teaching and exercises, as well as the enhancement of the research program through the publication of results and dissemination through participation in workshops.

Compensation

28,457 Euro

Job posting website

https://service.unibas.it/documenti/show_document_db1.asp?tipo=12

Number of positions

1

Maximum duration

12.0

Funding body

Università degli Studi della Basilicata

How to apply

Other

Selection process

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Evaluation of qualifications.Interview on:b) assessment of skills and knowledge in the field of:- Analysis and evaluation of remotely sensed multi-temporal series of spectral indices related to seasonal phenological phases:- Interpretation of phenological patterns through multi-temporal series of spectral indices for wild fruit stands (Crop Wild Relatives - CWR);- Tree-scale structural diversity indices derived from LiDAR technology for the phenotyping of wild fruit trees.- Morphological characterization of main plant phenotypic traitsThe interview will be held in Italian Admission requirements: - PhD or equivalent degree obtained abroad; - Scientific and professional CV suitable for the postdoctoral position. Other relevant qualifications a) Educational background - PhD in SSD AGRI-03/B with particular reference to remote and proximal sensing of forest resources - Forestry and Environmental Science or equivalent qualification - Any other qualifications: master’s degrees or advanced training courses, academic awards etc. in the relevant scientific field SSD AGRI-03/B Silviculture, Forest Ecology and Management b) Research activity in the scientific field of the position, collaboration in teaching and third mission activities, and relevant work experience for the position c) Scientific publications in the field of SSD AGRI-03/B Silviculture, Forest Ecology and ManagementEnglish languageForeign candidates must have adequate knowledge of Italian language

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