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 group “Oceanic Machine Vision” is offering a position as
Doctoral researcher (m/f/d) MarDATA-3 in Computer Science and Marine Data Science
starting on November 1st, 2021. The position offers the possibility to attain a doctoral degree in engineering and will be jointly advised by Dr. Kevin Köser (GEOMAR) and Prof. Dr.-Ing. Reinhard Koch (University of Kiel). The advertised position is targeted towards
“Learning Underwater Visual Appearance for Robust Seafloor Surveys”,
exploiting machine learning for improving correspondence search in challenging underwater imaging conditions. Here, light attenuation and scattering in the water body, as well as dynamic illumination make it extremely difficult to re-identify the same seafloor patch in different images, which is however at the heart of visual mapping approaches. Recent advances in machine learning suggest that establishing corresponding points in different underwater images could be improved by training appropriate neural networks.
The position is embedded in the “Helmholtz School for Marine Data Science” (MarDATA), a graduate school financed by the Helmholtz Association aiming 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. 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.
Job Description / Project Description
The successful applicant will
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.
It is appreciated and beneficial, but not required, if applicants also have experience in
The position is available for a funding period of 3 years. 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 can not 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-LearningUnderwaterAppearance” 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 group please contact Dr. Kevin Köser (kkoeser(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.