We offer a position as an

Early Stage Researcher (M/F/D)

in the Marie Skłodowska-Curie Innovative Training Network Project MENELAOSNT in the field

Tomographic SAR reconstruction (ESR8)

Applying tomographic SAR inversion using compressive sensing is well established in the SAR community. In contrast to state of the art approaches applied to satellite data novel CS reconstruction approaches combining sparsity with prior information will be researched and implemented. We intend to use high resolution airborne data sets from FHR and later, from our own sensor platform. The data is superior to satellite data concerning resolution und SNR. The main goal is the evaluation of the used CS methods for remote sensing 3-D imaging. Additionally, the performance in layover areas and the super-resolution properties will be checked. The developed methods will be compared with the state of the art.

The successful candidate will be employed for a maximum period of three years full-time equivalent and receives a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.


  • Simulation and evaluation of the theoretical limits regarding coherence and resolution using CS in tomographic SAR for the used configurations
  • Design of the signal and noise model of the tomographic geometry for sparse reconstruction.
  • Development of novel CS reconstruction algorithms incorporating prior information.
  • Working with real data including high resolution SAR processing and 3D scene reconstruction.
  • Planning and realization of tomographic experiments using the SAR sensor of ZESS.
  • identify advantages and limitations by synthetic and experimental tests.


  • Master of Science in Electrical Engineering, Electronics Technology, Electrical Engineering Technology, Electrical and Computer Engineering, Physics, Industrial Engineering, Information Technologies or related fields
  • ESRs must demonstrate that their ability to understand and express themselves in both written and spoken English is sufficiently high for them to derive the full benefit from the network training. Non-native English speakers are required to provide evidence of English language competency. (TOEFL … )
  • Some basic knowledge on signal processing and radar technology


  • FHG (FHR), Wachtberg, Germany, Dr. P. Berens, 5 months, working with real airborne TomoSAR data.
  • WIS (SAMPL) , Israel, Prof. Dr. Yonina Eldar, 2 months, work on CS reconstruction algorithms and compare with own approaches.
  • GAMMA, Bern, Switzerland, Dr. U. Wegmüller, 2 months, CS algorithm refinement, optimization, and analysis.


Contact and further Information



The University of Siegen is an innovative and interdisciplinary university with almost 20,000 students, about 1,300 scientists and 700 employees in technology and administration. With a wide range of subjects ranging from humanities and social sciences to economics and natural and engineering sciences, it provides an outstanding teaching and research environment with numerous inter-disciplinary and transdisciplinary research projects. The University of Siegen supports a wide range of opportunities to combine work and family life. It has therefore been certified as a family-friendly university since 2006 and offers a dual career service. The University of Siegen is committed to increase the proportion of women in research and teaching. Adequately qualified female researchers are asked to apply for this position. Applications of disabled candidates are also encouraged.

The position will be located at

ZESS – Center for Sensor Systems
Paul-Bonatz-Str. 9-11
57076 Siegen, Germany

Supervisor: Prof. Dr. Otmar Loffeld

Planned Recruitment date: 1st September 2020.
Eligibility Criteria and Mobility Rule

ESRs must, at the date of recruitment, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. Full-Time Equivalent Research Experience is measured from the date when the researcher obtained the first degree entitling him/her to embark on a doctorate (either in the country in which the degree was obtained or in the country in which the researcher is recruited), even if a doctorate was never started or envisaged. Researchers can be of any nationality.

ESRs must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the planned recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.