Starting in 2015, two DAAD PhD scholarships will become available for the
Research Training Group Heterogeneous Image Systems in Computer Science
and Electrical Engineering at Friedrich-Alexander University
Erlangen-Nürnberg (FAU), Germany.
The Research Training Group Heterogeneous Image Systems researches
technical systems for processing, synthesizing, and transmitting digital
images, such as those in mobile phones or game consoles, but also in medical
image systems or advanced driver assistance systems. The PhD projects range
from hardware-related topics like intelligent image sensors, to methods and
tools for the design and modeling of heterogeneous image systems, and to
applications in medical engineering and entertainment technology.
The scholarships provide funding for a three-year period, starting in 2015.
Applicants must have earned a Masters or Diploma degree in Computer Science
or Electrical Engineering (or closely related) within the past 6 years.
Moreover, applicants may not have stayed in Germany for more than 15 months
at the time of nomination for the DAAD (approximately September 2014). Good
English skills and the ability to work well in a team are required.
A completed application must include a curriculum vitae, a letter of
motivation, including a specified area of research, letters of
recommendation from two university professors from the applicant`s alma
mater, and pre- and post-secondary certifications including those proving
language skills. The documents must be submitted to
<mailto:coord-hbs@i9.informatik.uni-erlangen.de>
coord-hbs(a)i9.informatik.uni-erlangen.de by the 15th of July, 2014 as a PDF
via e-mail.
Further information may be found at <http://hbs.fau.de/>
http://hbs.fau.de/
or at <https://www.daad.de/gssp>
https://www.daad.de/gssp
Friedrich-Alexander University Erlangen-Nürnberg possesses the certificate
audit familiengerechte Hochschule. The university aims to increase the
proportion of women in research and teaching positions, and, therefore,
strongly encourages female researchers to apply for these positions.
Severely disabled applicants with essentially identical technical and
personal suitability will be preferentially selected.