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Postdoc position on lake ecosystem modelling(m/w/x)
Modelling lake ecosystems with trait-based plankton models, analyzing phosphorus cycles and climate impacts. Expertise in aquatic ecosystem modelling and FABM coupling required. Work-life balance support, diversity commitment.
Requirements
- Doctoral degree in theoretical/quantitative ecology, environmental sciences, or mathematics/physics with ecological focus
- Strong expertise in process-based ecosystem modelling on aquatic systems
- Experience using model frameworks such as GOTM, ERGOM, or PCLake+ and coupling models via FABM
- Experience in adaptive trait-based model approaches
- Excellent interpersonal and communication skills (English)
- Evidence of scientific productivity
Tasks
- Use existing lake ecosystem models
- Combine trait-based plankton models
- Investigate anthropogenic and climate impacts
- Analyze phosphorus cycle changes
- Study phytoplankton community composition
- Examine vertical distribution changes
- Focus on stratification and water residence time
- Utilize 50 years of monitoring data
- Investigate Planktothrix rubescens dominance
- Develop 1D biogeochemical ecosystem model
- Implement trait-based phytoplankton representation
- Include adaptive traits like buoyancy regulation
- Quantify environmental factor contributions
- Project future phosphorus availability
- Assess primary productivity changes
- Evaluate water quality consequences
- Consider different climate change scenarios
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- GOTM
- ERGOM
- PCLake+
- FABM
Benefits
Learning & Development
- Qualification and training opportunities
Family Support
- Work-life balance support
Informal Culture
- Commitment to diversity
Other Benefits
- Support for women in the field
Purpose-Driven Work
- Preferential consideration for severely disabled applicants
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Postdoc position on lake ecosystem modelling(m/w/x)
Modelling lake ecosystems with trait-based plankton models, analyzing phosphorus cycles and climate impacts. Expertise in aquatic ecosystem modelling and FABM coupling required. Work-life balance support, diversity commitment.
Requirements
- Doctoral degree in theoretical/quantitative ecology, environmental sciences, or mathematics/physics with ecological focus
- Strong expertise in process-based ecosystem modelling on aquatic systems
- Experience using model frameworks such as GOTM, ERGOM, or PCLake+ and coupling models via FABM
- Experience in adaptive trait-based model approaches
- Excellent interpersonal and communication skills (English)
- Evidence of scientific productivity
Tasks
- Use existing lake ecosystem models
- Combine trait-based plankton models
- Investigate anthropogenic and climate impacts
- Analyze phosphorus cycle changes
- Study phytoplankton community composition
- Examine vertical distribution changes
- Focus on stratification and water residence time
- Utilize 50 years of monitoring data
- Investigate Planktothrix rubescens dominance
- Develop 1D biogeochemical ecosystem model
- Implement trait-based phytoplankton representation
- Include adaptive traits like buoyancy regulation
- Quantify environmental factor contributions
- Project future phosphorus availability
- Assess primary productivity changes
- Evaluate water quality consequences
- Consider different climate change scenarios
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- GOTM
- ERGOM
- PCLake+
- FABM
Benefits
Learning & Development
- Qualification and training opportunities
Family Support
- Work-life balance support
Informal Culture
- Commitment to diversity
Other Benefits
- Support for women in the field
Purpose-Driven Work
- Preferential consideration for severely disabled applicants
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Leibniz-Institut für Gewässerökologie und Binnenfischerei (IGB) im Forschungsverbund Berlin e.V.
Industry
Research
Description
The company conducts research on freshwater ecosystems and their societal relevance, uniting various disciplines.
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