Dein persönlicher KI-Karriere-Agent
.Ph.D. Position in Computer Science / Environmental Data Science(m/w/x)
Developing probabilistic deep learning models for wildfire risk and biodiversity impacts. Master's degree in a quantitative field and Python/C++ skills required. One-year research stay at University of Melbourne, flexible hours.
Anforderungen
- Master’s degree in computer science, mathematics, physics, data science, or related field
- Strong programming skills, ideally in Python and C++
- English fluency (written and spoken)
- Delight in engaging within international, multidisciplinary training programme
- Willingness to undertake one-year research stay at University of Melbourne
Aufgaben
- Advance probabilistic deep learning models for spatiotemporal forecasting
- Model multiple dimensions of wildfire risks
- Develop improved algorithms using recent AI advances
- Apply methodological developments to climate change risk assessments
- Explore impacts of climate change and land use on biodiversity
- Integrate wildfire model into LPJ-GUESS and WOW
- Collaborate with C4LaNd PhD researchers and modellers
- Review literature and data sources
- Present results at national and international conferences
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
Benefits
Weiterbildungsangebote
- Specific training on job start
- Wide range of further qualification offers
Flexibles Arbeiten
- Flexible working time models
- Work from home
Gesundheits- & Fitnessangebote
- Sports and leisure offers
Kinderbetreuung
- Child and holiday care services
Öffi Tickets
- Job Ticket Baden-Württemberg contribution
Gratis oder Vergünstigte Mahlzeiten
- Canteen variety
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.Ph.D. Position in Computer Science / Environmental Data Science(m/w/x)
Developing probabilistic deep learning models for wildfire risk and biodiversity impacts. Master's degree in a quantitative field and Python/C++ skills required. One-year research stay at University of Melbourne, flexible hours.
Anforderungen
- Master’s degree in computer science, mathematics, physics, data science, or related field
- Strong programming skills, ideally in Python and C++
- English fluency (written and spoken)
- Delight in engaging within international, multidisciplinary training programme
- Willingness to undertake one-year research stay at University of Melbourne
Aufgaben
- Advance probabilistic deep learning models for spatiotemporal forecasting
- Model multiple dimensions of wildfire risks
- Develop improved algorithms using recent AI advances
- Apply methodological developments to climate change risk assessments
- Explore impacts of climate change and land use on biodiversity
- Integrate wildfire model into LPJ-GUESS and WOW
- Collaborate with C4LaNd PhD researchers and modellers
- Review literature and data sources
- Present results at national and international conferences
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- C++
Benefits
Weiterbildungsangebote
- Specific training on job start
- Wide range of further qualification offers
Flexibles Arbeiten
- Flexible working time models
- Work from home
Gesundheits- & Fitnessangebote
- Sports and leisure offers
Kinderbetreuung
- Child and holiday care services
Öffi Tickets
- Job Ticket Baden-Württemberg contribution
Gratis oder Vergünstigte Mahlzeiten
- Canteen variety
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Institut für Theoretische Informatik (ITI)
Branche
IT
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