Post-Doctoral Fellowship in Remote Sensing applied to Agricultural Crops

• Knowledge Area: Geosciences

• FAPESP Process Number: 2021/06029-7
• Project Title: High Resolution Remote Sensing for Digital Agriculture
• Number of places: 1
• Start: 2023-10-01
• Principal Investigador: Antonio Maria Garcia Tommaselli
• Unit/Institution: Faculdade de Ciências Agrárias e Veterinárias – Unesp
• Deadline for submissions: 2023-08-28
• E-mail for proposal submission: rouverson.silva@unesp.br

The selected candidate will be responsible for validating platforms and sensors. They will perform preliminary tests, including sensor calibration, as well as study the spectral behavior of agricultural crops with the aim of creating artificial intelligence models for estimating biophysical parameters. To do so, they will use multi-resolution and multi-temporal images collected by different platforms and multiple sensors, including active and passive sensors, multi and hyperspectral sensors, onboard remotely piloted aerial vehicles, and mobile ground systems.

The selected candidate will carry out their activities in Jaboticabal - SP, Brazil. Experience in aerial and proximal Remote Sensing, radiometric calibration, geoprocessing, subterranean crop cultivation, as well as scientific production in the field, are requirements for the position.

Any questions should be forwarded via email to Prof. Dr. Rouverson Pereira da Silva (rouverson.silva@unesp.br), with the subject line: FAPESP 2021/06029-7 (Post-doc).

The position is open to Brazilians and foreigners. The selected candidate will receive a FAPESP Post-Doctoral Fellowship in the amount of R$ 9,047.40 per month, along with a Technical Reserve equivalent to 10% of the annual fellowship value to cover expenses directly related to research activities.

Desired skills and competencies

• PhD in Agronomy, Agricultural Engineering, or related sciences, with thesis defended in the area of Remote Sensing applied to agricultural crops;
• Experience in analyzing proximal, aerial, and orbital sensing data;
• Experience with multi-spectral and hyperspectral sensors;
• Experience in data analysis;
• Proficient in the English language;
• Basic proficiency in the Python programming language;
• Strong interpersonal skills, international experience, and familiarity with subterranean cultures will be advantageous;
• Full-time dedication to the Project;
• The duration of this fellowship is 24 months, with the possibility of extension, upon FAPESP evaluation.

Application

The application, in English, must be emailed to us with the following information/attached documents:

• Curriculum vitae.
• PhD degree Diploma.
• Research plan related to the above postdoc proposal (Max. 5 pages).
• Journal links (or doi) of 3 particularly relevant papers.
• Other documents that demonstrate your experience/profile.
  

Selection

The selection will be carried out by a committee composed of three UNESP professors, at least one of whom is external to the Thematic Project, and will consist of evaluations:

• Research plan;
• Skills and competencies of the candidate;
• Curriculum vitae;
• Interview.

Schedule

• Registration: until 25-08-2023
• Selection: September/October-2023