Institut für Mikrostrukturtechnik (IMT)
.PhD Position on Elastocaloric Microcooling for Photonic Systems(m/w/x)
Part-timeWith HomeofficeNot specified
Eggenstein-Leopoldshafen
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INInstitut für Photogrammetrie und Fernerkundung (IPF)
PhD position Cross-Sensor Transfer Learning for Long-Term Forest Biomass and Structure Estimation Using Established and Next-Generation SAR Missions(m/w/x)
Karlsruhe
from 57,700 - 82,000 / year
Part-timeWith Home Office
Nejo AI Summary
Developing cross-sensor transfer learning frameworks for forest biomass estimation using SAR data. Strong background in Earth observation and SAR data processing required. 30 days vacation, flexible hours, and mobile work.
Requirements
- Above-average M.Sc. degree or equivalent
- Strong background in Earth observation
- Strong background in remote sensing of forests
- Strong background in SAR data processing
- Interest in Earth observation
- Interest in remote sensing of forests
- Interest in SAR data processing
- Experience with machine learning methods
- Experience with domain adaptation methods
- Experience with transfer learning methods
- Excellent communication skills
- Enthusiasm for international research environment
- Enthusiasm for multidisciplinary research environment
- Fluency in English, written
- Fluency in English, spoken
- Willingness to undertake research placement
- Willingness to comply with formalities
Tasks
- Develop cross-sensor transfer learning frameworks
- Estimate above-ground biomass using polarimetric SAR features
- Enrich biomass estimates with Polarimetric InSAR and Tomographic SAR
- Explore multi-modal and multi-model support with optical and hyperspectral data
- Improve robustness and generalizability of transfer learning
- Characterize sensor-aware uncertainty and error transfer
- Decompose error budget and estimate precision loss
- Validate results across long-term forest observatories
- Ensure transferability across forest types and climatic zones
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- remote sensing
- SAR data processing
- machine learning
- domain adaptation
- transfer learning
Benefits
More Vacation Days
- 30 days of vacation
- Holiday offers
Flexible Working
- Flexible working hours
- Mobile work
- Part-time models
Mentorship & Coaching
- Structured onboarding
- Individual support
Learning & Development
- Further education opportunities
Childcare
- Childcare
Family Support
- Parent-child office
- Support for care of relatives
Healthcare & Fitness
- Sports courses
- Regular health check-ups
Mental Health Support
- Mental health offers
Retirement Plans
- Company pension plan (VBL)
Public Transport Subsidies
- Monthly subsidy for Jobticket BW
Team Events
- Cultural and leisure offers
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Institut für Photogrammetrie und Fernerkundung (IPF) and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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INInstitut für Photogrammetrie und Fernerkundung (IPF)
PhD position Cross-Sensor Transfer Learning for Long-Term Forest Biomass and Structure Estimation Using Established and Next-Generation SAR Missions(m/w/x)
Karlsruhe
from 57,700 - 82,000 / year
Part-timeWith Home Office
Nejo AI Summary
Developing cross-sensor transfer learning frameworks for forest biomass estimation using SAR data. Strong background in Earth observation and SAR data processing required. 30 days vacation, flexible hours, and mobile work.
Requirements
- Above-average M.Sc. degree or equivalent
- Strong background in Earth observation
- Strong background in remote sensing of forests
- Strong background in SAR data processing
- Interest in Earth observation
- Interest in remote sensing of forests
- Interest in SAR data processing
- Experience with machine learning methods
- Experience with domain adaptation methods
- Experience with transfer learning methods
- Excellent communication skills
- Enthusiasm for international research environment
- Enthusiasm for multidisciplinary research environment
- Fluency in English, written
- Fluency in English, spoken
- Willingness to undertake research placement
- Willingness to comply with formalities
Tasks
- Develop cross-sensor transfer learning frameworks
- Estimate above-ground biomass using polarimetric SAR features
- Enrich biomass estimates with Polarimetric InSAR and Tomographic SAR
- Explore multi-modal and multi-model support with optical and hyperspectral data
- Improve robustness and generalizability of transfer learning
- Characterize sensor-aware uncertainty and error transfer
- Decompose error budget and estimate precision loss
- Validate results across long-term forest observatories
- Ensure transferability across forest types and climatic zones
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- remote sensing
- SAR data processing
- machine learning
- domain adaptation
- transfer learning
Benefits
More Vacation Days
- 30 days of vacation
- Holiday offers
Flexible Working
- Flexible working hours
- Mobile work
- Part-time models
Mentorship & Coaching
- Structured onboarding
- Individual support
Learning & Development
- Further education opportunities
Childcare
- Childcare
Family Support
- Parent-child office
- Support for care of relatives
Healthcare & Fitness
- Sports courses
- Regular health check-ups
Mental Health Support
- Mental health offers
Retirement Plans
- Company pension plan (VBL)
Public Transport Subsidies
- Monthly subsidy for Jobticket BW
Team Events
- Cultural and leisure offers
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Institut für Photogrammetrie und Fernerkundung (IPF) and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Institut für Photogrammetrie und Fernerkundung (IPF)
Industry
Science
Description
The Institute of Photogrammetry and Remote Sensing (KIT-IPF) focuses on remote sensing, Earth observation, and applying machine learning to forest dynamics.
Not a perfect match?
- Institut für Mikrostrukturtechnik (IMT)
.PhD Position on Elastocaloric Microcooling for Photonic Systems(m/w/x)
Part-timeWith HomeofficeNot specifiedEggenstein-Leopoldshafen - KIT
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Studentische oder wissenschaftliche Hilfskraft oder Student:in für eine Abschlussarbeit zum Thema Datengetriebene Simulation für End-to-End Driving durch Multimodales 4D Gaussian Splatting(m/w/x)
Part-timeWorking StudentWith HomeofficeKarlsruhe - FZI Forschungszentrum Informatik
Student:in für eine Abschlussarbeit zum Thema Transformer-Netzwerke für die multi-LiDAR Kalibrierung(m/w/x)
Part-timeTemporary contractWith HomeofficeNot specifiedKarlsruhe - FZI Forschungszentrum Informatik
Studentische Hilfskraft oder Student im Rahmen einer Abschlussarbeit zum Thema selbstbewusste Roboter zur planetaren Exploration(m/w/x)
Part-timeWorking StudentWith HomeofficeKarlsruhe