Open Position: Statistician climate/environmental data – Deadline 26 January 2022

As part of the joint Helmholtz Research Programme “Changing Earth – Sustaining our Future”, we explore and deepen the use of the instrumental and paleoclimate record for quantitatively constraining the prediction of the future climate. The implementation of this goal will be integrated in the AWI Observation to Archive (O2A) workflow by developing and implementing statistical methods and analytic tools to optimally design, use and interpret the observations gained at AWI and beyond.

You will develop and apply statistical tools to optimally interpret complex and small sample size environmental datasets. One example is the reconstruction of climate fields from sparse paleoclimate proxy measurements from ice-cores and sediment cores. You will further teach and consult researchers at AWI on statistical analysis. Ideally, you will successfully apply for a third-party funded junior research group to further boost the topic of climate/environmental data statistics@AWI.

• Develop and apply Bayesian calibrations of environmental proxies to translate raw proxy ‘sensor’ data into physical/biological quantities
• Develop and apply field reconstructions from sparse and time uncertain data that allows to integrate proxy ‘sensor’ data and climate fields.
• Implement prototypes of digital tools such as proxy forward models / artificial core generators that can be integrated in O2A
• Design optimal sampling and measurement procedures.

Requirements

• PhD in statistics, mathematics, physics, informatics, or a related field.
• Hands-on experience in statistical methods including the application of Bayesian models on environmental or climate data.
• Excellent expertise in R to perform statistical analysis
• Strong research and publication record
• Substantial international research experience (as PhD candidate and/or postdoc).
• Very strong scientific track record, qualifying to provide academic leadership to members of a junior research group or showing great promise to do so in near future.
• Excellent English language skills, both written and spoken

Further Information