PhD Position in Medical Imaging (3yrs)

Friedrich-Alexander-University Erlangen-Nuremberg
Location: 
Erlangen, Germany
Job Type: 
Full Time
Closing Date: 
Thursday, August 31, 2017

Starting in 2018, two DAAD PhD scholarships will become available in the research area “Heterogeneous Image Systems” in Computer Science and Electrical Engineering at Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany. Subject of the scholarships is the research on 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. Possible 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 2018. 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 2017). Good English skills and the ability to work well in a team are required. Work language and PhD Thesis will be entirely in English.

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 grk1773-coord@fau.de by the 31st of August, 2017 as a PDF via e-mail.

Further information may be found 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.