22 Jan 2026
Job Information
- Organisation/Company
Universidade Estadual Paulista (UNESP)- Department
Computer Science- Research Field
Computer science- Researcher Profile
Recognised Researcher (R2)- Positions
Postdoc Positions- Application Deadline
12 Feb 2026 - 23:59 (America/Argentina/Buenos_Aires)- Country
Brazil- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
40- Offer Starting Date
1 Mar 2026- Is the job funded through the EU Research Framework Programme?
Not funded by a EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Accurate analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and monitoring severe weather events. Radar images, especially those of the PPI (Plan Position Indicator) and SAR (Synthetic Aperture Radar) types, often present significant challenges that compromise their interpretation, including speckle noise, attenuation effects, altitude variations, and artifacts caused by atmospheric interference. Furthermore, the inherent complexity of different radar types and their specific configurations hinders the creation of generalizable solutions for processing these images. This project proposes an innovative approach that combines state-of-the-art diffusion models with physical radar knowledge and advanced transfer learning techniques. The methodology incorporates fundamental radar wave propagation equations into the diffusion process, allowing for more accurate and physically consistent image restoration. The developed framework will be able to transfer knowledge between different radar types (PPI, SAR, Doppler) and adapt to different meteorological conditions through a continuous feedback system based on radar-specific metrics. Please, send your CV (Lattes if you are Brazilian) to the email joao.papa@unesp.br
Where to apply
joao.papa@unesp.br
Requirements
- Research Field
- Computer science » Other
- Education Level
- PhD or equivalent
Skills/Qualifications
Experience in machine learning, math, and programming.
- Languages
- ENGLISH
- Level
- Good
Additional Information
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Univer
- Country
- Brazil
- State/Province
- Universidade Estadual Paulista (UNESP)
- City
- Bauru
- Postal Code
- 17033-360
- Street
- Av. Eng. Luiz Edmundo Carrijo Coube, 14-01
- Geofield
Contact
- State/Province
São Paulo- City
Bauru- Website
https://www2.unesp.br/- Street
Av. Eng. Luiz Edmundo Carrijo Coube, 14-01- Postal Code
17033-36014884-900- Fax
+551431036079
STATUS: EXPIRED
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