DLR-DAAD Doctoral Fellowship Nr. 631: Computer Scientist, Data Scientist, Mathematician or similar (f/m/x) - Transfer Learning for Variable Underwater Sensor Setups

4 Apr 2024
Job Information

Organisation/Company

Deutsches Zentrum für Luft - und Raumfahrt (DLR)

Research Field

Technology
Engineering

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)
Established Researcher (R3)

Country

Germany

Application Deadline

24 Aug 2024 - 00:00 (UTC)

Type of Contract

To be defined

Job Status

Other

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Area of research:

Scientific / postdoctoral posts,Promotion

Job description:

The safety and security of critical infrastructures is an essential foundation for the economic prosperity and stability of governments and societies. The Institute for the Protection of Maritime Infrastructures focuses on this challenge and develops new concepts, approaches and technologies that may be used to analyse and enhance the safety and security of maritime infrastructures regarding people, technologies and systems.

The Situational Awareness and Cybersecurity Group at the Department of Maritime Security Technologies develops methods for processing and handling of data for novel situational awareness concepts, with a strong focus on machine learning technologies to enable operators to handle large amounts of incoming sensor data.

Join our interdisciplinary research team and develop next-generation security technologies with us! This fellowship focuses on the core question of portability of deep learning algorithms for the processing of underwater sensor data. While deep learning algorithms produce impressive results, they require very large training data sets, which is an issue for fields that cannot easily create vast amounts of data or often alter sensors, such as underwater applications.

In this position, you will:

• focus predominantly on sonar data sets to analyse how various state-of-the-art machine learning and data processing methods behave when the training data differs from the test data, e.g. after sensor parameters have been altered or sensors were replaced
• join our team of scientists in their ongoing task of selecting, analysing and implementing current approaches and methods from the scientific machine learning and deep learning communities
• plan and execute exciting data gathering campaigns in maritime environments
• compare algorithms concerning the impact of altered input data parameters
• publish your research at international conferences and in international journals

The Institute for the Protection of Maritime Infrastructures has committed to principles of open source and open data, allowing results of our research to be published openly when possible.

Please apply here: DLR-DAAD Research Fellowship Programme - DAAD - Deutscher Akademischer Austauschdienst

 

Further information and current vacancies: DLR Current offers - DAAD

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.

Requirements
Additional Information

Website for additional job details

https://www.dlr.de/dlr/jobs/en/desktopdefault.aspx/tabid-10596/1003_read-53084/

Work Location(s)

Number of offers available

1

Company/Institute

Deutsches Zentrum für Luft - und Raumfahrt (DLR)

Country

Germany

City

Bremerhaven

Geofield

Where to apply

Website

https://www.dlr.de/dlr/jobs/en/desktopdefault.aspx/tabid-10596/1003_read-53084/

Contact

City

Köln

Website

https://www.dlr.de/en/

Street

Linder Höhe[Porz-Wahnheide]

Postal Code

51147

E-Mail

[email protected]

Phone

+49 2203 601-0

Fax

+49 2203 673-10

STATUS: EXPIRED