Early-Stage Researcher (ESR)/PhD position as part of the MSCA ETN '4D-REEF'
Project title: Visualizing scientific data of the underwater in three and four dimensions
Host: Ocean Maps GmbH (Salzburg, Austria)
Supervisor: Klemens Svetitsch
The scientific descriptions of coral reefs contain a wealth of information, but are difficult to provide in a form easily understood by the general public. This project will bring together data and results from the other 4D-REEF projects that will provide new insights into the dynamics of turbid coral reefs, and integrate them with bathymetric, topographic, multi-dimensional and time series data. Interactive and immersive visualizations will be created to engage the public and communicate the essential questions and outcomes of the 4D-REEF research. Collecting and processing data from various sensors under and above water, in test environments and on-site, will be part of this project as well as fusing together various spatial data types and applying state-of-the-art algorithms to gain insight into past, present and possibly future developments.
Objectives of the individual project
New ways of making underwater environments available interactively shall be developed, for scientific use as well as public engagement and outreach.
More information about 4D-REEF is available at: https://www.naturalis.nl/en/4d-reef
Secondments: Max Planck Institute for Marine Microbiology
Fieldtraining:extensive field-training in Austria/Europe; Southwest Sulawesi (optional, to be decided)
EU eligibility criteria for candidates: Candidates of any nationality, but in order to be eligible for the positions the following criteria applies to all applicants: 1) The applicant shall at the time of recruitment be in the first four years of his/her research career and have not been awarded a doctoral degree. 2) The applicant must not have resided or carried out his/her main activity in the country of the host institute (Austria) for more than 12 months in the 3 years immediately prior to the recruitment.
Candidates must hold a master's degree in 1) computer science, software engineering or a related field, or 2) a natural science or engineering with significant experience in software development. We are looking for highly motivated students with experience in algorithm development and implementation (e.g. in C#, Python, C++, etc).
Highly beneficial is experience in any of the following: 3D computer graphics, 3D point cloud and mesh processing, machine learning / artificial neural networks / deep learning (e.g. Matlab, TensorFlow, R, etc), computer vision (e.g. visual odometry/SLAM, photogrammetry, etc), sensor fusion (e.g. GNSS, SLAM, USBL, INS etc), numerical modeling, geographic data.
Highly appreciated are good communication skills and an interdisciplinary, solution-oriented way of approaching new challenges.
For any queries you may have, please contact:
Please feel free to contact Klemens Svetitsch, email@example.com
How to apply?
Applicants are asked to provide: motivation letter, CV, one file with additional relevant documents such as academic records and job references. Please send your application to before 1 October 2019 to: firstname.lastname@example.org
See also: https://www.ocean-maps.com/
4D-REEF has received funding from the European Union's Horizon 2020 research
and innovation programme under the Marie Sklodowska-Curie grant agreement