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INInstitut für Theoretische Informatik (ITI)

.Ph.D. Position in Computer Science / Environmental Data Science(m/w/x)

Karlsruhe
Part-timeWith Home Office
Green Job
AI/ML
Data Science

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

  • EnglishBusiness 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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