Bitte beachten Sie: Diese Stellenanzeige ist nicht mehr aktiv.
Entdecken Sie hier weitere Stellenanzeigen. Um regelmäßig per E-Mail über passende Stellen informiert zu werden, können Sie sich jederzeit kostenlos registrieren.
Research position (f/m) (subject to allocation of funds)
Veröffentlicht am(vor 676 Tagen)
Bewerbungsende(vor 654 Tagen)
Zuse Institute Berlin (ZIB)Berlin
The Zuse Institute Berlin (ZIB) is a non-university research institute under public law of the state of Berlin. The division "Mathematics for Life and Materials Sciences" is offering a
Research position (f/m)
(subject to allocation of funds) Kennziffer: WA 32/17
Pay grade E 13 TV-L Berlin (80%)
in the department "Visual Data Analysis". The position is offered at the earliest possible date and will be a fixed-term contract for 2 years with the option to be extended, provided that external funding is continued.
Goal of the research project "Multiscale Virtual Fish" is to increase the insight into the functioning of the zebrafish nervous system by integrating measured and simulated data within a virtual environment and by performing visually supported analyses.
Primary tasks include:
Integrated 3D / 4D visualization of different types of anatomical (3D images, geometry) and functional (activity time series) neuroscience data, obtained with different imaging modalities and at multiple scales in a common reference frame (atlas)
Multi-scale neural network modeling, analysis and visualization
Development of a web-based and/or desktop software solution to be used on a daily basis by neuroscientists
The project is part of the international research collaboration "Sensorimotor Processing, Decision Making, and Internal States: Towards a Realistic Multiscale Circuit Model of the Larval Zebrafish Brain", funded by NIH for a period of 5 years. The applicant is expected to collaborate closely with other members of this collaboration, in particular the Department of Molecular and Cellular Biology of the Harvard University and the Center for Imaging Science of the John Hopkins University. For further information on the field of activity please refer to www.zib.de/visual.
We expect creativity and a high degree of commitment in solving problems. We offer a friendly working atmosphere, excellent equipment and a challenging professional environment. We offer scientists in all career stages opportunities for further qualification and support and expect research on top level with international visibility. Non-PhD candidates are strongly encouraged to pursue a doctoral degree in conjunction with this work.
University degree in computer science, mathematics or physics
Experience in several of the following areas is essential: 3D / 4D visualization, image analysis, image registration, signal processing, geometry processing, 3D anatomical atlases, shape analysis, numerical modeling and simulation
Applicants are expected to be highly motivated, self-reliant, and able to collaborate and work with top-level scientists in neurobiology
Good command of written and spoken English is essential.
The candidature of women is encouraged. Since women are underrepresented in information technology, ZIB is trying to increase the proportion of women in this research area.
Persons with disabilities will be given preference, when equally qualified.
Please send your application, quoting the reference code WA 32/17 including CV in tabular form and all relevant documents by November 30st, 2017 to
Zuse Institute Berlin (ZIB)
– Administration –
Takustr. 7 | 14195 Berlin
or electronically to: firstname.lastname@example.org. Closing date for applications is November 30st, 2017.
Further information about the position can be obtained from Hans-Christian Hege (E-Mail: email@example.com)
For further job offers please visit our website awww.zib.de
Um unsere Webseite optimal gestalten und fortlaufend verbessern zu können, verwenden wir Cookies. Durch die weitere Nutzung der Webseite stimmen Sie der Verwendung von Cookies zu. Weitere Informationen sowie Hinweise dazu, wie Sie die Speicherung der Cookies verhindern können, finden Sie in unserer Datenschutzerklärung.