Computer/Robotic scientist focusing on AI or an Engineer for Automation and Control (100%)



Computer/Robotic scientist focusing on AI or an Engineer for Automation and Control (100%)

Deadline: 15th January 2019

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 DeepSea Monitoring group at GEOMAR is offering a position for a:

Computer / Robotic scientist focusing on AI or an Engineer for Automation and Control (100%)

Start, as soon as possible

The Project
Mn-nodules are seen as optional metal resource of Ni, Co, Co and other metals. Large quantities of Mn-nodules exist in the Pacific Ocean in the so called CCZ where European countries hold exploration incenses, among them Germany and Belgium. As part of this endeavour autonomous underwater vehicles (AUVs) need to scout the seafloor in an optimal way to acquire the data needed for resource assessments but particularly for a better environmental data base. To further support environmental considerations as much as possible, the project aims at investigating workflows and needed AI methods/algorithms for supporting Regional Management Plans based on real input data from the seabed in 4500m water depth, as well as wind- and tide-driven bottom water current models.

As part of the project team, you will be responsible for developing an Adaptive-Path-Planning-Module for our AUVs to support acquisition of optical but also physical ground truth samples. You will become part of the DeepSea Monitoring Group that includes geoscientists, computer scientists and software developers alike.

Our expectations are three fold

A) Adaptive-Path-Planning-Module

  • You will proactively join the group of people that plan and implement the Adaptive-Path-Module in an agile software development
  • You will search for and compare possible algorithms keeping in mind that they are aimed at being used to control an autonomous underwater vehicle

B) Support long-term Regional Management Planning

  • You will become familiar with the general concepts of Regional Management Planning for DeepSea Mining
  • You will investigate AI-methodologies that help establishing a RMP potentially looking 20-30 years into the future. Special emphasis will be on minimizing environmental impacts

C) Work in a team

  • You will closely cooperate with the project partners to implement your workflow and algorithms into a professional software tool; this includes stays in Bielefeld (Germany) and Ghent (Belgium)

Your Qualification

  • You have a Master of Science degree in the field of artificial intelligence/robotic or automation and control
  • You are familiar with supervised and unsupervised machine learning methods for spatial extrapolations
  • You have expertise in path optimization in a 2D space with static and dynamic restrictions
  • You have been working in projects aiming at developing methods and workflows that are put into a commercial software tool
  • You have a general understanding GIS applications
  • You have programming skills e.g. in Python, C#, or C++
  • You write good (!) software code and are used to do this in a team
  • You are fluent in English in oral and written communication
  • You are open and enthusiastic learning about the deep sea as the last frontier on earth

Our offers

  • A working place at one of the world leading marine research centres, you will work in a vibrating multinational and multidisciplinary environment
  • You will cooperate with one of a world-leading dredging company in Belgium and a very innovative software developing company in Germany
  • The chance to become part of technological developments aiming to provide solutions for deep sea mining explicitly considering to minimize environmental impact
  • Access to a huge amount of data at GEOMAR and join efforts to acquire new data for the project
  • Excellent computational facilities at GEOMAR and the Christian-Albrechts University Kiel (HPC, GPU-Clusters)
  • A nice working environment with friendly colleagues
  • The chance to join marine research cruises to see results of your work in action

The position is available for a funding period until 30 June 2021. The salary depends on qualification and could be up to the class 13 TVöD-Bund of the German pay scale for public employees. This is a full-time position (100%). Part-time employment models are generally possible, provided that the position is filled for the whole day

The reconciliation of work and family is of special interest at GEOMAR. GEOMAR aims to promote female experts, we therefore invite explicitly qualified women to apply for this position. In cases of equal qualification, aptitude and expertise of the applicants, female applicants will be given preferential treatment for this position. GEOMAR promotes employment of people with disabilities. Disabled applicants with adequate qualification will be preferentially considered

Please send your complete application (motivation letter, CV including project involvements and papers, copies of your certificates) via email in one pdf file until 15. January 2019 mentioning the key word “COMPASS-Adaptive Planning” in the subject to:


As soon as the selection procedure has finished, all application papers will be destroyed according to data protection regulation.

For further information regarding the position and research unit please contact Prof. Dr. Jens Greinert (email jgreinert(at), phone: 0049 431 600-2590).

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) In doing so, please refer to the keyword.

More information about GEOMAR Helmholtz Centre For Ocean Research Kiel or the Helmholtz-Association can be found at or at

GEOMAR is committed to a non-discriminatory personnel selection. Our job advertisements address all people.