Apply for Doctoral Research Fellowship on Space in Germany

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Description

Fellowship No. 451 PhD Multi-Modal SAR and Deep Learning for Scattering Characterization

‘DLR – DAAD Research Fellowships’ is a programme implemented by the German Aerospace Center (DLR) and the German Academic Exchange Service (DAAD). DLR is Germany´s national research center for aeronautics and space. Its extensive research and development work in Aeronautics, Space, Transportation and Energy is integrated into national and international cooperative ventures. As Germany´s space agency, DLR has been given responsibility for the forward planning and the implementation of the German space program by the German federal government as well as for the international representation of German interests. Approximately 8,300 people plus approx. 400 visiting scientists are employed in DLR´s 40 institutes and facilities at 20 locations in Germany. This special programme is intended for highly-qualified foreign doctoral students from the field of Space. DLR-DAAD Fellowships offer outstanding scientists and researchers the opportunity to conduct special research at the institutes of the DLR in Germany. Please note that within the DLR-DAAD programme, you cannot apply for a university or another institution, only for a DLR institute. DLR-DAAD Fellowships are defined and awarded on an individual basis. Each Fellowship announcement will indicate the specific qualification requirements and terms of the visit. The current offers are published under DLR-DAAD Fellowships – Current Offers. Funding Duration is 36 months. Fellowships are always awarded for the length of the research stay in Germany. The host DLR institute and the fellowship candidate will agree upon the length of this term.

Opportunity Focus Area:
Aeronautics
Space
Transportation
Energy

Specialties

Aerospace Engineering, Aviation, Computer Science, Computer Science and IT, Computing, General Engineering and Technology, IT

Eligibilities

Not Specified

Gender

Nationality

Algeria, Bahrain, Comoros, Cyprus, Djibouti, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Mauritania, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Somalia, South Sudan, Sudan, Syria, Tunisia, Turkey, UAE, Yemen

Required Languages

Required English Tests

Specific Requirements

Other Requirements

Programming Experiences

Proficient on multiple platforms (Linux, Mac, Windows) with skilled programming experiences (Python, IDL, C++, etc.).

Other Experiences

Experiences in statistical modelling, computer vision, and machine learning.

Language

Good knowledge of English (speaking and writing) with the above mentioned required grades in the English test, knowledge of German is advantageous.

Advantageous Skills

Experiences in Deep Learning

Nationality

Not be of German nationality

Academic Achievements

Be able to prove their outstanding study or research achievements in the field of research corresponding to the fellowship offer

Benefits

Required Documents

Application Form

Online application form

Cover letter

Cover page

Statement of purpose

Statement of the reasons for applying for a certain fellowship: Appendix

CV / Resume

Complete curriculum vitae

Portfolio

List of publications, if applicable.

Master Degree Certificate

University degree certificate indicating final grade(s): the certificate must be subsequently submitted before the grant-supported research begins if it is not available at the time of application.

Official Transcript

University degree certificate indicating final grade(s)

Recommendation letter/Reference Letter

Two letters of recommendation, which should be written by senior academics of the applicant´s own choice. The form of the letter of recommendation has to be generated in the DAAD portal in the section "Request reference" after registration and downloaded. Please send the form by e-mail to your referees and ask for the completed reference form to be sent to the application address in Bonn in a sealed envelope. References are confidential and must not be read by the applicant. The letters of recommendation cannot be accepted in digital form and must be sent by your referees by regular mail to the DAAD head office in Bonn. The letters of recommendation must arrive 4 weeks after the application was uploaded in the DAAD portal at the latest, at the address: German Academic Exchange Service (DAAD) Section ST43/DLR Kennedyallee 50 53175 Bonn Germany

Test Certificate

English language certificate (e.g. TOEFL IBT: min. 79; IELTS: min. 6.5).

Other

Abstract of the final Master or PhD thesis (max. 3 pages).

Other

All university certificates on all annual examinations with individual grade(s), incl. explanation of grading system.

How To Apply

First step: Register in the DAAD portal from here

Second step: Applying online in the DAAD portal from here

Download and complete the online application form
Prepare application documents
If necessary, translate documents (unless they are already in German or English).
Scan paper documents (except references) and save in PDF format. Please note that you can only upload PDF files to the portal.
Upload the completed application form and the other application documents to the portal in PDF format. Translations, if applicable, should be uploaded together with the document issued in the original language.

Note:

The letters of recommendation cannot be accepted in digital form and must be sent by your referees by regular mail to the DAAD head office in Bonn. The letters of recommendation must arrive 4 weeks after the application was uploaded in the DAAD portal at the latest, at the address:

German Academic Exchange Service (DAAD)
Section ST43/DLR
Kennedyallee 50
53175 Bonn
Germany

Third step: Submit the application

Note:

To be submitted by post:
One recent reference from a university teacher which provides information about your qualifications (hand-signed, no digital or scanned signature). Please regard the instructions given on the tab “Submitting an application“.

Current note: Due to the current pandemic situation, applications can be submitted on application dates that lie in 2020 without application reference.