PhD student (f/m) Computer science/Physics/Bioinformatics
The Neuroimiging and neuroengineering of experimental stroke lab is seeking applications for a full-time
PhD student (f/m)
to be employed under a limited-time (3 years).
In the lab, we are using cutting-edge neurotechniques to unravel the cellular signature of global network changes underlying motor function after experimental stroke. Our mission is to develop novel regenerative and neuronal stimulation paradigms to enhance endogenous plasticity and boost recovery. We have access to a small animal in vivo imaging center with three ultra high field MRI scanner (7.0, 9.4 and 11.7T) and a custom-made light sheet microscope. Our investigations complement the work of the clinical groups at the Department of Neurology, which develop novel noninvasive treatment paradigms such as rTMS and tDCS.
The potential candidate will work on a cutting-edge project in which in vivo imaging (MRI), light sheet microscopy, behavior data and electrophysiology is combined to extract novel features of spontaneous and stimulation-induced recovery after stroke. The aim is to develop and test a software pipeline for automatic image registration, feature extraction and mathematical modeling.
Your responsibilities will include:
- Software programming for multimodal data analysis and integration
- Mathematical modeling of stroke recovery data
- Automized quality control for acquistion of in vivo/ex vivo data
- Master in a relevant subject area
- Good communication skills in English (both oral and written)
- Confident with Python or Matlab and ImageJ (Java)
- Experience in in vivo/ex vivo image postprocessing and analysis
- Basic knowledge of microscopy and in vivo MRI
Your salary will be based on TV-L.
Applications from female candidates are welcome; suitably qualified women will be given preferential consideration unless other applicants clearly demonstrate superior qualifications.
We also welcome applications from disabled candidates, who will also be given preferential consideration over other applicants with comparable qualifications.
The position is suitable for staffing with part-time employees.
While applying for the job please refer to jobvector and use the following reference number: e431
We prefer online applications, but you also have the opportunity to apply via regular mail by 22. January 2017 quoting the reference number e431 to
Klinik und Poliklinik für Neurologie
Dr. Markus Aswendt
Further information is available on the internet at
About Uniklinik Köln
Als modernes Krankenhaus der Maximalversorgung zählen wir zu den führenden Universitätskliniken Deutschlands. Unsere 6.800 Beschäftigten bieten in mehr als 59 leistungsstarken Kliniken, Fachzentren und Instituten eine optimale Patientenversorgung und eine professionelle Aus-, Fort- und Weiterbildung. Mit rund 1.300 Betten sind wir eines der größten...More about Uniklinik Köln