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HEHelmholtz Zentrum für Umweltforschung UFZ

PhD Socioeconomic impacts of climate extremes from multilingual textual extraction(m/w/x)

Leipzig
Full-timeOn-siteJunior
AI/ML
Data Science

You will bridge the gap between climate science and AI by developing advanced NLP models to extract and analyze the socioeconomic impacts of extreme weather events from global literature.

Requirements

  • Willingness to complete international secondments
  • Master’s degree in relevant field
  • Compliance with German residency mobility rules
  • No prior PhD degree award
  • Good command of scientific programming
  • Experience handling large datasets (advantageous)
  • Interest in NLP and machine learning
  • Interest in societal consequences of disasters
  • Independent and collaborative work ability
  • Good command of English

Tasks

  • Develop NLP and LLM models for impact extraction
  • Extract climate impact data from multilingual literature
  • Train models to quantify uncertainty in impact claims
  • Produce confidence scores for risk modeling
  • Identify counterfactual and attributional statements
  • Derive a causal typology for climate impacts
  • Analyze spatial and temporal impact patterns
  • Cross-validate results with modeled and observed data
  • Collaborate with the CLIMES Doctoral Network
  • Present findings at conferences and in publications

Education

Master's degree

Languages

EnglishBusiness Fluent

Tools & Technologies

PythonRNatural language processingText miningMachine learning

Benefits

Mentorship & Coaching

  • Excellent supervision
  • HIGRADE graduate programme

Informal Culture

  • Interdisciplinary and international teams
  • International Office support

Other Benefits

  • National and international research networks
  • Research data management support
  • Vibrant region location
  • Accessibility

Modern Equipment

  • Excellent research infrastructure

Family Support

  • Family office support
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