The Visual Inference group (led by Stefan Roth) and the Capturing Reality group (led by Michael Goesele) – both at TU Darmstadt, Germany – are looking for two highly-motivated PhD students or Postdocs in the area of computer vision and/or computer graphics.
Position
Funding for the PostDoc / PhD positions will be provided through an upcoming European project, a collaboration of six leading research institutions across Europe. The project aims to move beyond the prevalent goal-oriented paradigm for visual scene capture. Instead, dynamic 3D worlds will be captured incidentally by leveraging the tremendous amount of images and video available from modern smartphones and other commodity sensors. A variety of challenging problems need to be solved to exploit this huge amount of data. Out of those, the successful applicants will mainly work on
The working language of the research groups and the project is English. The positions will be paid at a competitive level (PhD position – E13; PostDoc position – E13 or E14, depending on the qualification).
Environment
The Visual Inference and the Capturing Reality groups were founded in 2007 and are embedded within the larger Interactive Graphics Systems Group (GRIS). The Visual Inference group conducts research in several areas of computer vision with an emphasis on statistical methods and machine learning. Recent projects include probabilistic models of low-level vision, image processing, image motion analysis, human detection and tracking, as well as object detection. TheCapturing Reality group works at the intersection of computer graphics and computer vision. Recent research projects cover various aspects of surface and scene capture, internet-scale vision, and massively-parallel computing. The groups interact closely and offer a young and friendly, yet competitive team with many international contacts.
TU Darmstadt is one of the leading technical universities in Germany. Its computer science department consistently ranks among the top 5 in Germany. TU Darmstadt offers a quite unique environment for research in computer vision and computer graphics with 3 full-time faculty and 2 adjunct faculty in vision and graphics, and ample interaction across the group boundaries. Our groups are located in/near the facilities of the Fraunhofer Institute for Computer Graphics.
Darmstadt is a very livable medium-size city in the Rhein-Main metropolitan area very close to Frankfurt.
Background
We are looking for PostDocs and PhD students with excellent analytical skills that are highly-motivated, curious, and creative. PostDoc applicants should demonstrate an internationally visible research record in computer vision and/or computer graphics, with publications in the leading venues. PhD applicants should have a Master’s degree (or equivalent) in computer science, mathematics, or a closely related field with an outstanding academic record. A background in computer vision, computer graphics, and/or machine learning is a plus, but more importantly solid mathematical and programming skills are required. Knowledge of German is not required, but strong English skills are expected.
How to Apply
Interested applicants should send their application materials as PDF to Prof. Stefan Roth and Prof. Michael Goesele at recruit-harvest@gris.tu-darmstadt.de. The application deadline is May 10, 2013. Applicants should describe their motivation for applying, and include a CV and all relevant transcripts with grades. PostDoc applicants should additionally include a publication list, 3 selected publications, and the names and contact information of at least two references. PhD applicants should additionally include name and contact information of at least one reference (such as the Master's thesis supervisor) and, if applicable, information on prior research experience
Position
Funding for the PostDoc / PhD positions will be provided through an upcoming European project, a collaboration of six leading research institutions across Europe. The project aims to move beyond the prevalent goal-oriented paradigm for visual scene capture. Instead, dynamic 3D worlds will be captured incidentally by leveraging the tremendous amount of images and video available from modern smartphones and other commodity sensors. A variety of challenging problems need to be solved to exploit this huge amount of data. Out of those, the successful applicants will mainly work on
- finding means of integrating data from different sensors and modalities,
- models and algorithms for multi-scale scene processing,
- detecting changes in data sets over time to create spatio-temporal models of scenes.
The working language of the research groups and the project is English. The positions will be paid at a competitive level (PhD position – E13; PostDoc position – E13 or E14, depending on the qualification).
Environment
The Visual Inference and the Capturing Reality groups were founded in 2007 and are embedded within the larger Interactive Graphics Systems Group (GRIS). The Visual Inference group conducts research in several areas of computer vision with an emphasis on statistical methods and machine learning. Recent projects include probabilistic models of low-level vision, image processing, image motion analysis, human detection and tracking, as well as object detection. TheCapturing Reality group works at the intersection of computer graphics and computer vision. Recent research projects cover various aspects of surface and scene capture, internet-scale vision, and massively-parallel computing. The groups interact closely and offer a young and friendly, yet competitive team with many international contacts.
TU Darmstadt is one of the leading technical universities in Germany. Its computer science department consistently ranks among the top 5 in Germany. TU Darmstadt offers a quite unique environment for research in computer vision and computer graphics with 3 full-time faculty and 2 adjunct faculty in vision and graphics, and ample interaction across the group boundaries. Our groups are located in/near the facilities of the Fraunhofer Institute for Computer Graphics.
Darmstadt is a very livable medium-size city in the Rhein-Main metropolitan area very close to Frankfurt.
Background
We are looking for PostDocs and PhD students with excellent analytical skills that are highly-motivated, curious, and creative. PostDoc applicants should demonstrate an internationally visible research record in computer vision and/or computer graphics, with publications in the leading venues. PhD applicants should have a Master’s degree (or equivalent) in computer science, mathematics, or a closely related field with an outstanding academic record. A background in computer vision, computer graphics, and/or machine learning is a plus, but more importantly solid mathematical and programming skills are required. Knowledge of German is not required, but strong English skills are expected.
How to Apply
Interested applicants should send their application materials as PDF to Prof. Stefan Roth and Prof. Michael Goesele at recruit-harvest@gris.tu-darmstadt.de. The application deadline is May 10, 2013. Applicants should describe their motivation for applying, and include a CV and all relevant transcripts with grades. PostDoc applicants should additionally include a publication list, 3 selected publications, and the names and contact information of at least two references. PhD applicants should additionally include name and contact information of at least one reference (such as the Master's thesis supervisor) and, if applicable, information on prior research experience