PhD Bayesian Chronology Modelling for Paleoclimate Archives

This cutting-edge project at the interface of data-science, statistics and geochronology aims to develop and apply a methodological framework needed to fuse chronologic information from different Earth components into one consistent picture. Different Bayesian statistical models will be combined to synthesize absolute and relative age-information across published timeseries in a flexible and extendable way. This will not only result in a new approach to investigate complex systems in a data-driven way, but also in a consistently dated network of past environmental changes.

This project is part of the Helmholtz School for Marine Data Science (MarDATA) which aims to define and educate a new type of “marine data scientist” by introducing and embedding researchers from computer sciences and mathematics into ocean sciences, covering a broad range from supercomputing and modelling, (bio)informatics, robotics, to statistics and big data methodologies.

Tasks

• Develop a graph-based approach to synthesizing stratigraphic information from different paleoclimate records
• Implement and couple forward models of sediment and tracer deposition from the literature
• Apply the coupled model to existing paleoclimate records
• Present at international conferences
• Publish in peer-reviewed scientific journals

Requirements

• A degree (master’s, diploma) in mathematics, computer science, physics, climate sciences, or a related field with a main emphasis on data science
• Strong analytical, mathematical, and statistical skills
• Proficiency in a programming language (preferably Python, C/C++ or R)
• Excellent English language skills, both written and spoken
• Experience in Bayesian statistics or machine learning techniques is a benefit
• Previous experience with (paleo)climate research is an advantage

Further Information

For further information, please contact
Dr. Florian Adolphi
(florian.adolphi@awi.de; +49(471)4831-1008) or
Prof. Dr. Peter Zaspel
(p.zaspel@jacobs-university.de; +49(421)200-3051).
The 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 (100%)
. The place of employment will be Jacobs University,
Bremen
, with the option of short-term or interim stays at Alfred Wegener Institute,
Bremerhaven
.
The candidate will participate in
, the Helmholtz School for Marine Data Science.

The AWI is characterised by

• our scientific success - excellent research.
• collaboration and cooperation - intra-institute, national and international, interdisciplinary.
• opportunities to develop – on the job, aiming at other positions and beyond AWI.
• a culture of reconciling work and family – an audited and well-supported aspect of our operation
• our outstanding research infrastructure – ships, stations, aircraft, laboratories and more.
• an international environment – everyday contacts with people from all over the world.
• having an influence – fundamental research with social and political relevance
• flat hierarchies – facilitating freedom and responsibility
• exciting science topics, with opportunities also in technology, administration and infrastructure

Equal opportunities are an integral part of our personnel policy. The AWI aims to increase the number of female employees and therefore strongly encourages qualified women to apply.

Disabled applicants will be given preference when equal qualifications are present.
The AWI fosters the compatibility of work and family in various ways and has received a number of awards as a result of this engagement.

We look forward to your application!

Please submit your application, including (1) a letter of motivation, (2) a CV and copies of relevant certificates (master’s degree; training) and (3) two letters of recommendation or the contact information of two references, by

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