#forums.Thread#: BECAS
#forums.Author#: Carlos Perez Conde
#forums.Posted#: 2014-06-25 09:50:10.98063+02
3 year PhD scholarships in "Heterogeneous Image Systems" at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany
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 Master's 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 coord-hbs@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/or at 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.
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