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PhD Position in Remote Sensing and Geographic Information Systems

The University of Liége is offering a PhD position in Remote Sensing and Geographic Information Systems

More information can be found here  https://www.sciences.uliege.be/cms/c_10102824/en/phd-position-in-geomatics-uliege-2022

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Open position in Remote Sensing

The Institute of Geography and Regional Sciences, University of Graz, Austria is looking for a (Senior) Scientist / Geospatial Technologies with doctorate (m/f/d)
Conditions:
*   40 hours a week
*   Fixed-term employment for 6 years
*   Position to be filled as of 01.01.2023
*   Career objective: Permanent employment as Senior Scientist after this 6 six year period

For more information go to 

https://jobs.uni-graz.at/ausschreibung/en/?jh=gby0m3xeleawbtsirsrpqz7euuglsls (English) or 

https://jobs.uni-graz.at/ausschreibung/de/?jh=gby0m3xeleawbtsirsrpqz7euuglsls
(German)

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Open post-Doc position

Post-Doc position in hyperspectral remote sensing for forest trait retrievals and biodiversity estimation at the University of Milano-Bicocca, Milano, Italy

Job description
A Post-Doc position under the supervision of Prof. Micol Rossini is available at the remote sensing of environmental dynamics lab, Department of Earth and Environmental Sciences, University of Milano Bicocca.
The position is related to the Project “Development and test of algorithm for vegetation functional parameter retrieval from PRISMA in agro-forestry” funded by the Italian Space Agency.

Subject description
The objective of this position is to capitalise on newly available Earth Observation data sources offering complementary spatial resolutions, wide spectral ranges and revisit capabilities to advance the capability to monitor biodiversity changes from space.
In particular, the main aim of the project is to develop a PRISMA data processing chain for the generation of Earth Observation products related to plant functional traits from PRISMA reflectance data and the exploitation of plant trait maps to generate products related to functional diversity.

Important tasks are to:
➢ develop algorithms for the retrieval of plant traits (e.g. leaf and canopy pigment content, leaf and canopy water content, leaf and canopy nitrogen content, leaf area index) from PRISMA reflectance data through machine learning algorithms and radiative transfer models;
➢ create plant trait maps and validate them in forest ecosystems;
➢ apply multivariate and machine learning methods to estimate functional diversity based on a combination of leaf and canopy traits;
➢ investigate possible integration with other earth observation (EO) products;
➢ evaluate the value of the products generated by PRISMA data in the context of forest biodiversity monitoring

Work duties
The work is carried out together with a team of remote sensing expertise within the Department of Earth and Environmental Sciences, and in close collaboration with remote sensing researchers within the project belonging to the following institutions:

  • CNR-IREA, Council of National research, Institute for Electromagnetic Sensing of the Environment (Dr. Mirco Boschetti)
  • CNR-IMAA, Council of National research, Institute of Methodologies for Environmental Analysis (Dr. Stefano Pignatti)
  • University of Tuscia, Department of Agriculture and Forest Sciences (Prof. Raffaele Casa)
  • ITC-NRS, Faculty of Geo-Information Sciences and earth Observation, Department of natural Resources (Prof. Darvishzadeh Varchehi Roshanack)

Applicants must have

  • Basic university education in technical or natural science with a large component of geomatics (GIS, remote sensing)
  • PhD with specialization in optical remote sensing of vegetation
  • Good experience in computer programming
  • Experience in data analysis (time series analysis, statistics, numerical analysis, etc.)
  • Very good oral and written proficiency in English (C1 level- Common European Framework of Reference for Languages – CEFRL)
  • Experience within applications towards plant science / ecology / biodiversity

Additional assessment criteria:

  • Publications in international conference and peer-reviewed journals
  • Other documented communication skills
  • Documented previous work, courses or summer schools in remote sensing field

Consideration will also be given to good collaborative skills, drive, and how the applicant’s experience and skills complement and strengthen ongoing research within the group.

This is a full time position (40 hours/week) available for one year, from July 2022 to June 2023 (extendable). The salary is within a range of 25-30000 EUR per year, according to experience and skills, corresponding to approximately 1500-1700 EUR monthly net income.
Interested candidates are encouraged to send inquiries and applications (CV, letter of motivation and the contact of two references) to Prof. Micol Rossini (micol.rossini@unimib.it).

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Application for the role Earth Observation Science Support Specialist

Serco Europe Jobs:

A new opportunity of Earth Observation Science Support Specialist in Frascati

Please, note that this is a fixed-term contract from 01/02/2022 to 31/12/2022.

More information following this link: https://jobsearch.serco.eu/jobs/job/Earth-Observation-Science-Support-Specialist/7803

Closing Date 16 December, 2021

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Avviso di Selezione

Consiglio Nazionale delle Ricerche – Istituto per il Rilevamento Elettromagnetico dell’Ambiente

Avviso di selezione pubblica per il conferimento di n° 1 assegno per lo svolgimento di attività di ricerca, tipologia a) “assegni professionalizzanti”, nell’ambito dei progetti “cryorad follow on” per lo sviluppo di un radiometro a larga banda nel range delle microonde per il monitoraggio delle zone fredde della superficie terrestre, con particolare riferimento allo spessore del ghiaccio marino, della salinità dell’acqua e del profilo di temperatura delle calotte polari .

Tutte le informaziomi a questo link

La domanda di partecipazione dovrà essere inviata entro il giorno 27/10/2021

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Bando per borse di dottorato

L’Università “La Sapienza” di Roma ha emanato un bando straordinario per borse di dottorato su tematiche green e innovazione:

https://www.uniroma1.it/sites/default/files/field_file_allegati/bando_pon_r_per_il_web.pdf

https://www.uniroma1.it/sites/default/files/field_file_allegati/allegatoa_37_bando_pon_per_il_web_1.pdf

sono disponibili tre borse su tematiche di Earth Observation nell’ambito del dottorato in Infrastrutture e trasporti:

https://phd.uniroma1.it/web/concorso37pon.aspx?i=3508

1. Uso razionale dei Big Data da osservazione della Terra per il monitoraggio continuo delle riserve idriche e dei ghiacciai

2. Sistema di monitoraggio geomatico low-cost in tempo reale a supporto della resilienza delle aree urbane e del territorio verso eventi estremi dovuti al cambiamento climatico

3. TADAF – Tecniche Avanzate di elaborazione Dati satellitari per Applicazioni Forestali

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Assegno di ricerca “Utilizzo di dati Copernicus per la caratterizzazione dei residui di bauxite in siti minerari abbandonati

Il 14 Ottobre è stato pubblicato il bando relativo ad un assegno di ricerca dal titolo “Utilizzo di dati Copernicus per la caratterizzazione dei residui di bauxite in siti minerari abbandonati”. La tematica riguarda l’utilizzo di dati da telerilevamento (in particolare Copernicus ma non solo) per lo studio di siti minerari abbandonati, con la duplice finalità di un monitoraggio ambientale sulla contaminazione delle aree adiacenti e di una valutazione delle potenzialità di sfruttamento dei materiali di scarto come risorse secondarie.

L’assegno è inserito nell’ambito di un progetto di ricerca dal titolo “Characterisation of bauxite residuals in abandoned sites for contamination monitoring and raw material recovery using Copernicus data”, finanziato da EIT Raw Materials, ed è riservato a candidati in possesso del titolo di Dottore di Ricerca. Le attività si svolgeranno presso il dipartimento di ingegneria Civile, Chimica, Ambientale e dei Materiali (DICAM) dell’Università di Bologna. La scadenza per presentare le candidature è fissata al 28/10/2019. Per maggiori informazioni è possibile consultare il bando e la tematica di ricerca completa.