Postdoc, paleclimatology/geochronology - Cambridge, UK

Applications are invited for a Postdoctoral Research Associate position for a fixed-term of 14 months to work on a geochronological modeling project at the Department of Geography, University of Cambridge, UK.

Description

The stratigraphic correlation of marine sediment cores, speleothems, and ice core records, plays a central role in paleoclimate research as it is used to develop mutually consistent timescales for climate proxies measured in these archives. To present, the vast majority of stratigraphic correlations are performed manually.

However, this approach is inherently subjective, often difficult to reproduce, and comes without quantification of the confidence of correlations. Altogether, this prevents researchers to examine the robustness of their conclusions, including the statistical evaluation of rates of change and lead-lag relationships between events observed in different paleoclimate archives.

Alignment algorithms grounded on probability theory can help us address these limitations. In particular, they have an enormous and, as of yet, underexploited potential for automating the correlation of proxy time series, ensuring reproducibility, and deriving confidence bands associated with the alignment procedure.

Tasks

The successful candidate will work on designing an automated algorithm for stratigraphic correlation of palaeoclimatic records that will provide an essential tool to construct robust chronologies for climate archives with poor independent age control.

The project's primary goal is to devise a Bayesian framework that models alignments based on multiple proxy signals and incorporates prior knowledge on the depositional history of the climate archives used for correlation.

Preferred qualifications

- Eligible candidates must have a PhD in Earth Science, Geological Science, Applied Mathematics, Computer Science, or similar.
- A background in Mathematics or Statistics is desirable.
- Applicants must have strong programming skills and proven experience of publishing high-quality research articles.

Applications

Applications close 22 March 2021.

For full details and to apply, go to: https://www.jobs.cam.ac.uk/job/28617/

Further information

If you have questions regarding the position, please email Francesco Muschitiello: This email address is being protected from spambots. You need JavaScript enabled to view it.