Dein persönlicher KI-Karriere-Agent
PhD position Cross-Sensor Transfer Learning for Long-Term Forest Biomass and Structure Estimation Using Established and Next-Generation SAR Missions(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- remote sensing
- SAR data processing
- machine learning
- domain adaptation
- transfer learning
Benefits
Mehr Urlaubstage
- 30 days of vacation
- Holiday offers
Flexibles Arbeiten
- Flexible working hours
- Mobile work
- Part-time models
Mentoring & Coaching
- Structured onboarding
- Individual support
Weiterbildungsangebote
- Further education opportunities
Kinderbetreuung
- Childcare
Familienfreundlichkeit
- Parent-child office
- Support for care of relatives
Gesundheits- & Fitnessangebote
- Sports courses
- Regular health check-ups
Mentale Gesundheitsförderung
- Mental health offers
Betriebliche Altersvorsorge
- Company pension plan (VBL)
Öffi Tickets
- Monthly subsidy for Jobticket BW
Team Events & Ausflüge
- Cultural and leisure offers
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BetaDein Career Agent findet täglich ähnliche Jobs für dich.
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PhD position Cross-Sensor Transfer Learning for Long-Term Forest Biomass and Structure Estimation Using Established and Next-Generation SAR Missions(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- remote sensing
- SAR data processing
- machine learning
- domain adaptation
- transfer learning
Benefits
Mehr Urlaubstage
- 30 days of vacation
- Holiday offers
Flexibles Arbeiten
- Flexible working hours
- Mobile work
- Part-time models
Mentoring & Coaching
- Structured onboarding
- Individual support
Weiterbildungsangebote
- Further education opportunities
Kinderbetreuung
- Childcare
Familienfreundlichkeit
- Parent-child office
- Support for care of relatives
Gesundheits- & Fitnessangebote
- Sports courses
- Regular health check-ups
Mentale Gesundheitsförderung
- Mental health offers
Betriebliche Altersvorsorge
- Company pension plan (VBL)
Öffi Tickets
- Monthly subsidy for Jobticket BW
Team Events & Ausflüge
- Cultural and leisure offers
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Institut für Photogrammetrie und Fernerkundung (IPF)
Branche
Science
Beschreibung
The Institute of Photogrammetry and Remote Sensing (KIT-IPF) focuses on remote sensing, Earth observation, and applying machine learning to forest dynamics.
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