Research Assistant (m/f/d) at the Professorship for Medical Engineering at Life Science Nord Management GmbH
Hamburg, , Germany -
Full Time


Start Date

Immediate

Expiry Date

04 Dec, 25

Salary

0.0

Posted On

06 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Languages, English, Matlab, Research, Physics, Information Technology, Digital Signal Processing, C++

Industry

Information Technology/IT

Description

At Helmut Schmidt University / University of the Federal Armed Forces Hamburg (HSU/UniBw H), Faculty of Electrical Engineering, Professorship for Medical Engineering (Univ.-Prof. Dr. Slabu), a position is available as of 01.01.2026 for a
Research Assistant (m/f/d)
(salary group 13 TVöD [Collective agreement for the public service]; 39 hours per week)
for a limited period until 31.12.2028.
The activity takes place within the framework of the third-party funded research project “Multi-Frequency SAS”.
In contrast to conventional side-scan sonar, modern synthetic aperture sonar (SAS) technology offers resolution independent of distance and carrier frequency. The aim of this research project is to use multi-frequency SAS systems to obtain additional information about the frequency dependence of the data collected for seafloor classification and for discriminating between objects lying on the seafloor and those buried in the sediment.
The aspects to be investigated here are the interaction of frequency-dependent propagation and imaging effects in conjunction with the signal processing with regard to image calibration. This must be considered in order to assign the physical property of backscatter strength to the SAS images and to be able to analyse it in a frequency-dependent manner.
The project partner will provide the experimental facilities, including an autonomous underwater vehicle (AUV) / SAS hardware and data.

QUALIFICATION REQUIREMENTS

  • A completed university degree (Diplom [univ.] or Master) in the field of electrical engineering, information technology, communications engineering, physics or a related discipline • In-depth knowledge of digital signal processing
  • Proficiency in a programming language (Python, MatLab or C++)
Responsibilities
  • Signal processing for synthetic aperture sonar
  • Possibility of further academic qualification (e.g. doctorate or habilitation)
  • Carrying out general administrative work as well as academic activities in academic self-administration
Loading...