Postdoctoral Research Fellow position in alpine glacier and mountain ice sheets modelling

Updated: over 2 years ago
Job Type: FullTime
Deadline: 31 Jan 2022

There is a vacancy for a postdoctoral research fellow position within the Ecological and Environmental Change Research Group , Department of Biological Sciences .

The position is for a fixed term of 3 years and is associated with Trond Mohn Stiftelse and UiB funded project called Past, Present, and Future of Alpine Biomes Worldwide (PPF-Alpine).

The position is for 3 years: 1 April 2022 – 31 March 2025.

Alpine biomes are present on all continents and at all latitudes worldwide. They comprise biodiversity hotpots, fulfil a crucial role in hydrological and climate regulation, and provide vital support for the livelihoods and wellbeing of billions of people. Importantly, alpine biomes and their diversity are characterized by a dynamic past; during the Quaternary glacial-interglacial cycles, they underwent multiple expansion-contraction pulses. This resulted in recurrent episodes of connection and fragmentation, which likely shaped present-day biodiversity and mountain hotspot patterns. Mountain glaciers played a particularly important role in driving the connectivity dynamics of the alpine biome. The aim of PPF-Alpine is to reconstruct the glaciers and alpine biome on a global scale and during the last 130,000 years, and relate these reconstructions to modern day patterns of biodiversity. The main goal of this Postdoctoral Research Fellow position is to adjust existing ground-breaking methods for glacier simulations from a regional to global scale, and lead the corresponding data acquisition process. The project in general has a strong cross-disciplinary approach - combining expertise from glaciology, glacial geomorphology, paleoecology, paleoclimatology, biogeography, macroecology, and landscape modelling. Such cross-disciplinary environment aims at working at the front-end of mountain geology and biogeography to develop a mechanistic understanding of the role of the past in shaping the present and thus improve predictions for the future.



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