GEOMAR Helmholtz Centre for Ocean Research Kiel
GEOMAR Helmholtz Centre for Ocean Research Kiel is a foundation of public law jointly financed by the Federal Republic of Germany (90 %) and the state of Schleswig-Holstein (10 %) and is one of the internationally leading institutions in the field of marine sciences. Currently GEOMAR disposes over an annual budget of approx. 80 million Euro and has approx. 1000 employees.
The research unit Marine Geosystems of the research division Marine Biogeochemistry (RD2) in collaboration with the Institute of Applied Mathematics at Christian-Albrechts-University Kiel is offering a position as
Doctoral researcher (m/f/d) MarDATA-9 in Computer Science and Marine Data Science in the project “Deep neural networks for the prediction of sediment accumulation at the seafloor”
starting on September 1st, 2021.
The position offers the possibility to attain a doctoral degree in computer sciences as member of the graduate school “Helmholtz School for Marine Data Science” (MarDATA), financed by the Helmholtz Association. MarDATA aims to define and educate a new type of “marine data scientists” 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. Education of doctoral researchers in joint block courses, international summer schools and colloquia goes beyond a single discipline towards genuine scientific insight into and a more systematic treatment of marine data. (https://www.mardata.de/)
This is a joint research project of GEOMAR and the Institute of Applied Mathematics at Kiel University. The PhD student work at the interface between Computer Science, Data Science and Marine Geosciences, but have a research focus on the Computer Science aspects. The overarching aim of the PhD thesis will be to quantify the distribution of sediment and carbon fluxes at the global seafloor. The project will focus on the design of suitable deep neural networks that can be applied to derive fluxes over large seafloor areas using predictor maps and a limited number of flux measurements.
The applicant needs to:
If the required degree is not completed at the time of application, the degree certificate must be handed in before the above start date of the contract and the application must contain plausible evidence that the degree can be finished before that date.
The position is available for a funding period of 36 months, starting preferably September 1st,2021. The salary depends on qualification and could be up to the class 13 TVöD-Bund of the German tariff for public employees. This is a full-time position. The position cannot be split. Flexible working time models are generally possible. The fixed-term contract shall comply with Section 2 Paragraph 1 of The Act of Academic Fixed-Term Contract (German WissZeitVG).
GEOMAR Helmholtz Centre for Ocean Research Kiel seeks to increase the proportion of female scientists and explicitly encourages qualified female academics to apply.
GEOMAR is an equal opportunity employer and encourages scientists with disabilities to apply. Qualified disabled applicants will receive preference in the application process.
Please send your application for this post via email in a single pdf-file mentioning the keyword "MarData - Deep neural networks” in the subject line. Please send your application not later than July 4th 2021 to the following email address:
As soon as the selection procedure has finished, all your application data will be removed according to data protection regulation.
For further information regarding the position and research unit please contact Prof. Klaus Wallmann (kwallmann(at)geomar.de).
Please do not contact us by phone about the present state of procedures. However, we will answer all your questions if you send us an e-mail to bewerbung(at)geomar.de. In doing so, please refer to the keyword.
GEOMAR is committed to an objective and non-discriminatory personnel selection. Our job advertisements address all people. We expressly renounce the submission of application photos.