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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.
Requirements
- 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
Tasks
- 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
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
Benefits
Learning & Development
- Specific training on job start
- Wide range of further qualification offers
Flexible Working
- Flexible working time models
- Work from home
Healthcare & Fitness
- Sports and leisure offers
Childcare
- Child and holiday care services
Public Transport Subsidies
- Job Ticket Baden-Württemberg contribution
Free or Subsidized Food
- 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.
Requirements
- 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
Tasks
- 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
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- C++
Benefits
Learning & Development
- Specific training on job start
- Wide range of further qualification offers
Flexible Working
- Flexible working time models
- Work from home
Healthcare & Fitness
- Sports and leisure offers
Childcare
- Child and holiday care services
Public Transport Subsidies
- Job Ticket Baden-Württemberg contribution
Free or Subsidized Food
- Canteen variety
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