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HEHelmholtz Centre for Environmental Research UFZ

.IDEAS PhD Researcher(m/w/x)

Leipzig, Dresden
ab USD 3.200 - 3.800 / Monat
Vollzeitmit Homeoffice
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Developing interpretable, robust ML/AI forecasts for flood events at environmental research institute. Strong programming and data analysis skills required. 30 days vacation, remote work possible.

Anforderungen

  • Very good Master’s degree (MSc or equivalent) in relevant field
  • Strong programming/data analysis skills
  • Motivation for large, complex datasets and modern ML/AI methods
  • Strong interest in interdisciplinary research
  • Ability to collaborate in diverse teams
  • Very good English skills (written and spoken)

Aufgaben

  • Conduct original PhD research at the interface of data science and domain science
  • Contribute to scientific publications and dissemination
  • Participate in IDEAS training and cohort activities
  • Attend seminars, coursework, and community events
  • Develop physically interpretable, robust, and trustworthy data-driven forecasts of flood events
  • Combine advanced deep learning and causal representation learning frameworks
  • Use explainable AI to enhance flood event predictions
  • Identify soil moisture–cloud feedback pathways using graph-based AI methods
  • Integrate in-situ, satellite, reanalysis, and climate-model data
  • Improve understanding of land–atmosphere feedbacks
  • Design novel mini-protein binders against glioblastoma biomarkers
  • Combine generative protein design, machine learning, and radiochemistry
  • Experimentally validate computationally designed binders
  • Translate binders into radiopharmaceutical probes for molecular imaging
  • Predict the elimination of plant protection products by pollinator microbiomes
  • Use data science and AI to protect pollinators
  • Combine graph representation of chemical reactions with existing models
  • Develop digital markers of tissue health from continuous metabolic sensing data
  • Generate and expand biological measurements
  • Learn and predict outcomes from physiological time-series data
  • Support clinical decisions with novel digital markers
  • Propose and develop self-initiated projects in Life Sciences & Health or Environmental Sciences
  • Obtain support from two IDEAS PIs for Innovation Track projects
  • Contact potential supervisors before submitting applications

Ausbildung

  • Master-Abschluss

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • ML/AI methods

Benefits

Mehr Urlaubstage

  • 30 days of vacation

Flexibles Arbeiten

  • Remote work possible
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