PhD / PostDoc Positions in Computer Vision
We are currently looking for several highly-motivated PhD students or PostDocs in the area of computer vision and/or machine learning.
PostDoc position (ERC project VISLIM)
Funding for the PostDoc position will be provided through a prestigious Starting Grant from the European Research Council (ERC). The goal of this project is to develop the foundations of modeling, learning and inference in rich, joint representations of visual scenes that naturally encompass several scene properties. In particular, the project aims to address heterogeneous visual representations (discrete and continuous, dense and sparse) as well as a range of levels of abstractions (from the pixels to high-level abstractions). Possible application areas are diverse and include motion estimation, segmentation, video restoration, tracking, and 3D scene understanding.
This project gives several PhD students and PostDocs the opportunity to collaborate on a variety of challenging problems at the forefront of computer vision and machine learning.
The working language of the research group and the project is English. The position will be paid at a competitive level (E13 or E14, depending on the qualification).
Application deadline: September 15, 2015, but open until filled. Note that the PhD positions are filled.
PhD and PostDoc positions (state funded)
Funding for these PostDoc / PhD positions will be provided through state funds. This gives researchers enormous freedom with regards to their research topic, however active assistance in the teaching duties of the group is expected. Applications are thus solicited for all areas of computer vision that the Visual Inference group engages in, including probabilistic models of low-level vision, image motion estimation, tracking and human pose estimation, object recognition and scene understanding.
The working language of the research group as well as the instruction language of the teaching assistant duties is English. The positions will be paid at a competitive level (PhD position – E13; PostDoc position – E13 or E14, depending on the qualification).
Application deadline: inquire by email
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 machine learning, 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 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.
The Visual Inference group was founded in 2007 and conducts research in several areas of computer vision with an emphasis on statistical methods and machine learning. We regularly publish in the premier vision conferences and journals; our work has received several awards, including paper prizes at ICCV and CVPR. Recent projects include probabilistic models of low-level vision, image restoration, optical and scene flow, semantic segmentation, human tracking, as well as object detection.
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, with 3 full-time faculty and 3 adjunct faculty in visual computing at large, 4 full-time faculty in robotics and learning, as well as ample interaction across the group boundaries.
Darmstadt is a very livable medium-size city in the Rhein-Main metropolitan area very close to Frankfurt.
Interested applicants should send their application materials as PDF to firstname.lastname@example.org-…. 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 three references. PhD applicants should additionally include name and contact information of at least two references (such as the Master’s thesis supervisor) and, if applicable/available, results from graduate tests and information on prior research experience.