PhD, Dynamic range shifts in Arctic plants and animals – combining ancient DNA analyses and species distribution modelling - Potsdam, Germany
PhD, Dynamic range shifts in Arctic plants and animals – combining ancient DNA analyses and species distribution modelling - Potsdam, Germany
20 March 2023 - 14:00
Potsdam,
Germany
Theme
Category
Logistics
PhD position “Dynamic range shifts in Arctic plants and animals – combining ancient DNA analyses and species distribution modelling” (m/f/d)
This position is limited to 3 years. The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13 (66%). The place of employment will be Potsdam.
All doctoral candidates will be members of AWI's postgraduate program POLMAR or another graduate school and thus benefit from a comprehensive training program and extensive support measures.
This position is limited to 3 years. The salary will be paid in accordance with the Collective Agreement for the Public Service of the Federation (Tarifvertrag des öffentlichen Dienstes, TVöD Bund), up to salary level 13 (66%). The place of employment will be Potsdam.
All doctoral candidates will be members of AWI's postgraduate program POLMAR or another graduate school and thus benefit from a comprehensive training program and extensive support measures.
Description
Rapid warming in the Arctic is expected to cause biodiversity change. However, we are lacking basic understanding on how quickly different species adapt and will shift their distribution poleward. This knowledge gap hinders our ability to make precise predictions about the future state of the Arctic. As part of the advertised PhD project three key questions will be addressed: How can we learn from past species specific dispersal pattern inferred from proxy data to better understand and predict future change? How fast can Arctic species shift their distribution northwards to track preferred climate and ecological niches? Which arctic areas should we protect now to safeguard the long-term survival of arctic biodiversity?
Tasks
- Investigating the spatiotemporal dynamics of past Arctic animal and plant species using proxy data (mainly sedimentary ancient DNA and pollen records)
- Simulate past species specific dispersal and northward movements and provide validation via proxy data records
- Apply species distribution models to predict future dynamics and inform optimisation tools for biodiversity protection
- Simulate past species specific dispersal and northward movements and provide validation via proxy data records
- Apply species distribution models to predict future dynamics and inform optimisation tools for biodiversity protection
Requirements
- Master’s or equivalent degree in biology, physics or geology (or related disciplines)
- Knowledge in data handling using R (or other syntax based languages) and basic statistics. Experience with species distribution modelling and handling of big data sets is of advantage
- Knowledge in molecular genetics and bioinformatics is of advantage
- Very good spoken and written English and ability to work in an interdisciplinary environment
- Great willingness to present and publish research results on international conferences and in international scientific journals
Additional skills and knowledge
Willingness to conduct and support fieldwork in the high Arctic
- Knowledge in data handling using R (or other syntax based languages) and basic statistics. Experience with species distribution modelling and handling of big data sets is of advantage
- Knowledge in molecular genetics and bioinformatics is of advantage
- Very good spoken and written English and ability to work in an interdisciplinary environment
- Great willingness to present and publish research results on international conferences and in international scientific journals
Additional skills and knowledge
Willingness to conduct and support fieldwork in the high Arctic
Applications
We look forward to your application!
Please submit your application by April 5th, 2023 exclusively online.
Reference number: 23/61/D/Geo-b
Please submit your application by April 5th, 2023 exclusively online.
Reference number: 23/61/D/Geo-b
Application deadline
Further information
Please contact Prof. Dr. Ulrike Herzschuh (Ulrike.Herzschuh@awi.de; +49 331 58174-5601) or Dr. Simeon Lisovski (simeon.lisovski@awi.de; +49(331)58174 5635) for further information.
View the job advert online: https://jobs.awi.de/Vacancies/1308/Description/2
View the job advert online: https://jobs.awi.de/Vacancies/1308/Description/2
Contact email
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