PhD student position Crowdsourcing 3D Geoinformation Heidelberg University Germany:

The PhD student in the doctoral program Crowdanalyser (crowdanalyser. uni-hd.de) at Heidelberg University will examine the challenges, possibilities and limitations of crowdsourcing 3D geoinformation (e.g. extracted from 3D point clouds derived from mobile sensors). This includes undertakings, tasks for instance 3D data acquisition, object detection & modeling, fusion of (3D) multi-sensor data and existing 3D base models (e.g. derived from crowdsourced geoinformation like OpenStreetMap and airborne LiDAR). 

Requirements- MSc in Computer Science, Geoinformatics, Geography, Mathematics, or related area
- Background in one or more of the following areas: 3D computer vision, LiDAR, pattern recognition, 3D point cloud analysis, 3D object detection and modeling, multi-sensor fusion, computer graphics (GPGPU programming)
- Demonstrated strong programming experience (preferably in C/C++)
- Excellent English ability (written and oral), Excellent communication & organizational skills 

Applications shall be directed to Ms. Bettina Knorr (bettina.knorr at geog.uni- heidelberg. de, giscience.uni- hd.de) until November 14th 2012 in digital form (one PDF document). The application shall include a detailed CV including grades, technical knowledge, letters of reference and list of publications in addition to a short motivation statement (<1 page) addressing the PhD topic “Crowdsourcing 3D Geoinformation. 

The selection of the scholarship holder will be based on quality of the candidates and a personal interview. The Heidelberg University is an equal opportunity employer. In case of equality of qualification and suitability of applicants, the applications made by female researchers will be given preferential consideration. Handicapped, person with disabilities applicants will be treated preferentially if equally qualified. The graduate college aims, aspire at providing most excellent possibilities for combining research and family. 

Application Deadline: 14 November 2012.

Advertisements
This entry was posted in Phd. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s