[kkk] - Fwd: FW: Post doc Hyperspectral Remote Sensing Vegetation

[Matti Mõttus]

Dear Remote Sensig Club,

Below is a job advertisment. I removed the pdf attached to it as our
mailing list has often issues with attachments. You can find it here:
https://www.dropbox.com/s/q7orkto54fe2zyi/UNIMIB_Post-doc_Position.pdf?dl=0

regards,

Matti

-------------------------------------------
Matti Mõttus
Principal Scientist
VTT Technical Research Centre of Finland
+358 40 849 3037 // PO Box 1000, Tekniikantie 1, Espoo





*From:* Micol Rossini <micol.rossini at unimib.it>
*Sent:* Tuesday, April 19, 2022 15:55
*To:* Micol Rossini <micol.rossini at unimib.it>
*Subject:* Post doc Hyperspectral Remote Sensing Vegetation



Dear Colleagues,

I would like to advertise a nice post-doc position at the remote sensing
laboratory, University of Milano Bicocca (Milano, Italy) on the topic
“Hyperspectral remote sensing for forest trait retrievals and biodiversity
estimation”.

I kindly ask if you can distribute to your group and potentially interested
candidates.

Thank you in advance,

All the best,
Micol Rossini



*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:*

Ø 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;

Ø create plant trait maps and validate them in forest ecosystems;

Ø apply multivariate and machine learning methods to estimate functional
diversity based on a combination of leaf and canopy traits;

Ø investigate possible integration with other earth observation (EO)
products;

Ø 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 at unimib.it).
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