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Angebotsdatum: 19. Oktober 2020
Art der Stelle: Doktorarbeit
Fachgebiet: Informatik > Sonstiges
Titel des Themas: Sonar-based 3D Reconstruction for Dense Underwater SLAM Maps

Institut: DFKI GmbH - Robotics Innovation Center
Adresse:
Herr Bilal Wehbe
Robert-Hooke-Str. 1
28359 Bremen
Tel.:    Fax.:
Bundesland: Bremen
Homepage:
E-Mail Kontakt: mail

Beschreibung: Within the European Training Network (ETN) project “Reliable AI for Marine Robotics” - REMARO, the Robotics Innovation Center (RIC) research department in Bremen we are looking for an

Early Stage Researcher (m/f/d) (full-time, initially limited to 3 years)

The candidate will work full-time in the field of underwater robotics with the aim of researching and developing intelligent perception techniques for 3D reconstruction of underwater scenes focusing on sonar-based imaging in combination with other acoustic and visual based underwater sensors.
The duration of employment is 3 years and during that time the candidate will be offered the possibility to be enrolled in the PhD programme at the University of Bremen under the supervision of Prof. Dr. Dr. h.c. Frank Kirchner.

This position is part of 15 PhD positions within the project REMARO, located in Copenhagen, Oslo, Porto, Bremen, Aachen, and Delft. We look forward to receiving your application. For more info on how to apply please visit the following link
https://remaro.eu/index.php/2020/10/15/15-phd-positions-apply-now/

Make sure to have position #3 in the 3 selected choices if you are interested in this position.
Methoden: Your tasks:
* Familiarize yourself with current state-of-the-art in the fields of (1) underwater sonar-based SLAM, (2) 3D reconstruction from sonar images, (3) deep-learning methods, (4) underwater sensor fusion.
* Develop novel solutions for 3D reconstruction of underwater scenes using sonar-based imaging sensors.
* Integrate the developed solutions as standalone software modules for generating dense 3D maps for autonomous underwater vehicles (AUVs)
* Embed the developed 3D reconstruction solutions into a SLAM backend of an AUV and testing in actual real-world experiments field missions

Our requirements:
* Master’s degree (or equivalent) in any of the following fields: computer science, mechanical/electrical engineering, physics, mathematics or related fields.
* Background in some of the following topics: autonomous systems, robot navigation and sensor fusion, machine learning, image processing
* Good programming skills in C/C++ and Python
* Good English oral and written communication skills
Enjoy working in a dynamically growing team
Anfangsdatum: 1. Mai 2021
Geschätzte Dauer: 3 Jahre
Bezahlung:
Papers:
Sonstiges:

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