Open Positions
[ PostDocs | PhD Positions | Master Thesis | Student Opportunities | Industry ]
PostDoc Positions
PostDoc in Computer Vision
PostDoc Position in Computer Vision
The Computer Vision group at the Heidelberg Collaboratory for Image Processing (HCI) headed by Prof. Björn Ommer has an opening for a fully funded PostDoc position. We are seeking applicants with a strong interest in performing cutting edge research in a very active and exciting research area. We work in the attractive surroundings of the HCI, which is part of the Interdisciplinary Center for Scientific Computing (IWR) at the University of Heidelberg. The mission of the HCI is to conduct basic research with the aim of providing innovative solutions to basic image analysis and computer vision problems. We are also integrated within the interdisciplinary research area Transcultural Studies in the Humanities.
The open position is situated within the group's core research area of Visual Object Recognition and provides opportunities for fundamental and interdisciplinary research. The research topics are in the field of category-level recognition with particular emphasis on shape analysis. The primary application area of this work will be in gesture classification for which we have gathered novel, comprehensive datasets. The PostDoc salary is TV-L13 for one year with an optional extension of up to two more years.
Ideal candidates will have an excellent PhD degree in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field and their prior research should underline their experience in Computer Vision and Machine Learning. They will have a strong mathematical background, solid programming experience in C++ and Matlab, and above all a strong motivation and desire to explore new ideas. Fluency in English is required (both written and spoken).
If you are interested in joining a young and dynamic group to pursue exciting research that has impact within and beyond your direct field of research then please send your complete application (including statement of research achievements and interests, complete curriculum vitae, score records, and a recommendation letter or names of two academic references) until October 15, 2009 by Email. The screening process will already start before this deadline, so early submissions are strongly encouraged.
Email: bjoern [dot] ommer [at] iwr [dot] uni-heidelberg [dot] de
Web: http://hci.iwr.uni-heidelberg.de/people/bommer/
Scientific Software Developer (f/m)
The Heidelberg Collaboratory for Image Processing (HCI) is inviting applications for a fixed-term (3.5 years) full position as Scientific Software Developer.
The HCI, jointly funded by the German Research Foundation (DFG), industrial
partners and the University of Heidelberg, is the largest university-based
research unit in its field in Germany. It offers a unique environment
for fundamental image analysis research in the context of advanced applications
in industry, environmental physics, and life sciences.
The main objective of the new position is the transformation of research
prototypes into consistent and (re)usable software modules. In particular,
job duties may include to
- create portable C++ libraries from research code (that runs on a variety of platforms and languages) and/or provide tools for others to perform this task,
- ensure interoperability and platform independence of the resulting software,
- support and advise researchers regarding software design decisions (e.g. choice of tools, platform independence, software architecture),
- provide and/or create common software infrastructure (e.g. data import/export facilities, automatic build system, parallelization support, documentation generation),
- participate in the enhancement and maintenance of software test suites, manage automated test runs,
- help establishing a flexible, agile development process with minimal overhead
Details will be defined in accordance to the evolving needs of all HCI partners and the specific skills of the successful candidate. He/she should have experience in several of the following areas:
- very good programming and software design skills, especially in scientific software development (implementation of advanced algorithms, knowledge of existing libraries, parallelization),
- advanced template programming and generic library design in C++ (required),
- use of scripting languages (preferably Python and Matlab) and interoperation between scripting and C++,
- understanding of the mathematical background of scientific algorithms,
- good knowledge of software development infrastructure (e.g. cmake, doxygen, cppunit) and support libraries (e.g. boost, hdf5, sqlite).
The HCI offers a friendly, goal-oriented working atmosphere with flexible working hours. Employees with younger children may apply for a place in the child-care facilities of the University. Pay depends on prior experience. Please send applications electronically (preferably as a single PDF file containing the usual documents) to hci@iwr.uni-heidelberg.de by October 12th. The application procedure will remain open until the position is filled.
Senior Researchers
hci@iwr.uni-heidelberg.de -->
In the context of the German excellence initiative, the Ruprecht-Karls-University of Heidelberg invites applications for a senior research position in Image Processing / Pattern Recognition for a duration of up to 5 years. The gross salary ranges from 36.7kEUR to 46.8kEUR plus social benefits, depending on qualification and experience.
The aim is to develop methods for segmentation or pattern recognition that can be trained with an absolute minimum of human interaction; one particular aim is to employ shape information in the inference process, and find ways to train the permissible range of shape variability with as little interaction as possible. (Semi-supervised) active learning from weak labels is expected to play a role in this endeavour. Successful candidates are expected to develop their own research profile, and be involved in the mentoring of PhD students. The position offers the opportunity to acquire additional own projects and to qualify for the habilitation.
The position will be affiliated with the Heidelberg Collaboratory for Image Processing (HCI) that is funded by the German Research Foundation (DFG), industrial partners (Bosch, Heidelberger Druckmaschinen, Heidelberg Engineering, Silicon Software, and PCO) and the University. The mission of the HCI is to conduct basic research with the aim of providing cutting-edge solutions to basic image analysis problems for applications in industry, environmental and life sciences. The position offers the opportunity to acquire additional own projects and to qualify for the habilitation.
The HCI comprises three research groups (Profs. Hamprecht, Jaehne, Schnoerr) with about 60 senior researchers, PhD students and undergraduates. It is directed by a steering committee including the corresponding heads and representatives of the industrial partners. The HCI is part of the Interdisciplinary Center for Scientific Computing (IWR).
Applications should include a complete CV, the PhD thesis (or a link to it), a list of publications, references (name, homepage), and be sent by Email in PDF-format to hci@iwr.uni-heidelberg.de
PhD Positions
PhD Position in Computer Vision
The Computer Vision group at the Heidelberg Collaboratory for Image Processing (HCI) headed by Prof. Björn Ommer has an opening for a fully funded PhD position. We are seeking applicants with a strong interest in performing cutting edge research in a very active and exciting research area. We work in the attractive surroundings of the HCI, which is part of the Interdisciplinary Center for Scientific Computing (IWR) at the University of Heidelberg. The mission of the HCI is to conduct basic research with the aim of providing innovative solutions to basic image analysis and computer vision problems. We are also integrated within the interdisciplinary research area Transcultural Studies in the Humanities.
The open position is situated within the group's core research area of Visual Object Recognition and provide opportunities for fundamental and interdisciplinary research. The research topics are in the field of category-level recognition with particular emphasis on shape analysis. The primary application area of this work will be in gesture classification for which we have gathered novel, comprehensive datasets. The PhD salary is equivalent to TV-L13 3/4 with adequate supervision and support to enable completion of the thesis within 3 years.
Ideal candidates will have an excellent degree (Diploma, M.Sc. or equivalent) in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field. They will have a strong mathematical background, solid programming experience in C++ and Matlab, and above all a strong motivation and desire to learn. Prior experience in computer vision and machine learning is desired and fluency in English is required (both written and spoken).
If you are interested in joining a young and dynamic group to pursue exciting research that has impact within and beyond your direct field of research then please send your complete application (including motivation letter, complete curriculum vitae, score records, and a recommendation letter or names of two academic references) until October 15, 2009 by Email. The screening process will already start before this deadline, so early submissions are strongly encouraged.
Email: bjoern [dot] ommer [at] iwr [dot] uni-heidelberg [dot] de
Web: http://hci.iwr.uni-heidelberg.de/people/bommer/
2 Open PhD Positions in Computer Vision
PhD Positions are always available for outstanding candidates interested in one of our research areas. We seek outstanding candidates: curious, communicative and with excellent analytical capabilities. We solicit applications from students with a degree in statistics, mathematics, physics, computer science, electrical engineering, etc. Academic excellence, initiative and eagerness to learn and contribute are more important than the details of your previous curriculum.
The University of Heidelberg (in particular, the Hartmut Hoffmann-Berling International Graduate School of Molecular and Cellular Biology, funded in part through the German Excellence Initiative) is inviting applications for a PhD position in the project
Digital Embryo: Image Processing for Developmental and Systems Biology
A recent breakthrough in optical microscopy permits the study of embryonic development in 3D and real time, from the first division of a fertilized cell to a few ten thousand cells. The project aims at a fully automated and robust image processing system which can track the fate of each and every cell in order to globally map the behavior, lineage, and signalling patterns of all cells during vertebrate embryogenesis. The system should eventually work in a high throughput setting where hundreds of organisms will be studied. More information can be found at the Graduate School's site. The project will be conducted in close collaboration between the groups of Prof. Wittbrodt and Prof. Hamprecht. The tight connection between experimentalists and data analysts will allow you to make an impact in the real world. Please apply to "mipsec(the-at-sign)iwr.uni-heidelberg.de"The Heidelberg Graduate School on Mathematical and Computational Sciences (HGS MathComp), which is funded through the German Excellence Initiative, is inviting applications for 15 PhD scholarships.
In particular, the group for Multidimensional Image Processing (http://hci.iwr.uni-heidelberg.de/mip) invites applications for two positions, on
Data mining in proteomic / mass spectrometry
data,
and
Weakly supervised segmentation of biological images.
We seek outstanding candidates: curious, communicative and with excellent analytical capabilities. We solicit applications from students with a degree in statistics, mathematics, physics, computer science, electrical engineering, etc. Academic excellence, initiative and eagerness to learn and contribute are more important than the details of your previous curriculum.
We offer a competitive yet friendly environment and a close cooperation
with experimentalists that allows to make an impact in the real world.
Please apply to "mipsec (you know what) iwr.uni-heidelberg.de"
PhD in data analysis
Two scholarships are available for excellent students from Nankai
and Tsinghua University to study towards their PhD at the University
of Heidelberg. The students will work in the group for Multidimensional
Image Processing. You can choose from a range of topics in
- Data mining of mass spectrometric data in proteomics
- State-space modeling of single molecule spectroscopic data
- Image processing for microscopy in systems biology
- Novel algorithms for inference on spectral images
Untersuchung der oberflächennahen Turbulenz an der freien Luft-Wasser Grenzschicht mit thermografischen und partikelbasierten Verfahren
Der Transport von Wärme, Masse und Impuls über die freie Luft-Wassergrenzschicht
ist relevant für eine Vielzahl klimarelevanter Prozesse. Trotz jahrelanger
intensiver Forschung ist unsere Kenntnis der kleinskaligen Transportprozesse
gering. Der Grund hierfür ist zu einem Großteil in der Nichtverfügbarkeit
von geeigneten Messtechniken zu sehen. Viele Transportprozesse, die die
oberflächennahe Turbulenz beeinflussen, wie Effekte durch das Wellenfeld,
Regen und Blasen, sind bislang unzureichend untersucht. ...
Raumzeitliche Messung von flüssigkeitsseitigen Konzentrationsfeldern an Gas-Flüssigkeits-Grenzflächen
Das Ziel des Vorhabens ist es, erstmals tiefenauflösende Messtechniken
zum Studium von Transportprozessen in flüssigkeitsseitigen viskosen
Grenzschichten an Gas-Flüssigkeits-Grenzflächen einzusetzen.
Diese sollen Konzentrationsfelder mit einer zeitlichen und räumlichen
Auflösung messen, die auch die kleinsten relevanten Skalen auflösen.
...
Master Thesis Projects
Not all projects are outlined below. Please contact the respective group leaders to find out about the latest offers.Robust Local Features: estimating light fields in outdoor scenes
Local Features for 3D Shape Retrieval
Machine Learning for Structural Proteomics
[...more]Charakterisierung von Oberflächenfilmen im Hinblick auf den Gasaustausch mit Hilfe der Blasenmethode
Es soll ein Messverfahren aufgebaut werden, mit dem sich direkt im Windkanal
die Oberflächenspannung und damit die Bedeckung der Wasseroberfläche
mit organischen monomolekularen Filmen bestimmt werden kann. Mit der Blasenmethode
kann insbesondere der zeitliche Verlauf der Bildung von Oberflächenfilmen
an einer neu gebildeten Oberfläche studiert werden...
Vergleich aktiver und passiver Thermographiemethoden zur Untersuchung des Wärmetransfers zwischen Atmosphäre und Meer
Die Aufnahme von Wärmbildsequenzen ist eines der wichtigsten Instrumente,
zur Untersuchung der kleinskaligen, windinduzierten Turbulenz an der Meeresoberfläche.
Sobald die Nettowärmeflussraten an der Wasseroberfläche ungleich
null ist, gibt es einen Temperaturgradienten, durch den die Turbulenz
sichtbar wird. Der Wärmefluss kann in Windkanälen durch Verdunstung
von Wasser...
Labormessungen zum Gasaustausch zwischen Atmosphäre und Meer bei hohen Löslichkeiten mittels UV-Spektroskopie
Der Austausch von volatilen Substanzen ist bei hohen Löslichkeiten
zum Teil durch die luftseitigen als auch die wasserseitigen Austauschprozesse
an der Wasseroberfläche kontrolliert. Das Wechselspiel dieser beiden
Prozesse ist bisher so gut wie nicht untersucht und erlaubt interessante
Einblicke in die Intermittenz dieser Prozesse. In den letzten Jahren haben
wir Messmethoden entwickelt, ...
Strukturanalyse von polaren und alpinen Eisbohrkernen mittels digitaler Bildverarbeitung
Eiskernstudien bieten eine der erfolgreichsten Methoden in der modernen
Klimaforschung, wobei auch die mit der Tiefe sich ändernden physikalischen
Eigenschaften des Gletschereises eine zentrale Rolle spielen. Zum Beispiel
sind Größe, Wachstum und Orientierung der Eiskristalle zum
Verständnis der Gletscherdynamik als auch des Einbaus atmosphärischer
Spurenstoffe unerlässlich.
Development of a Motion Estimation and Segmentation Framework
Motion estimation from sequences of images is a hot topic in signal processing
with challenges ranging from classical image processing to the fundamentals
of machine learning. While research has recently focused on global optimization
techniques, the full potential of approaches that estimate optical flow
independently for pixel neighborhoods has not yet been fully exploited.
...
Motion and Brightness Variation Models in Optical Flow Estimation
Motion estimation is one of the most fundamental research topics in Computer
Vision and is applied as first step in almost all applications that involve
image sequences or other time series that produce vast amounts of data.
In such algorithms, two types of models are used - one type defining how
the brightness of objects vary through time, the other type describing
how neighboring flow vectors realte to each other. ...
Pyramids and The State of the Art in Motion Estimation
Some extremely accurate optical flow algorithms have recently been proposed
in literature. Unfortunately, it remains unclear which of the several
introduced extensions to the previously known methods led to the dramatic
increase of quality. Therefore, in this thesis the effects of different
aspects of the new algorithms are to be studied. ...
New Ground Truth for Motion Estimation
Up to now, so-called optical flow algorithms have not been tested thoroughly
enough on relevant real-world data. The reason lies in the fact that it
can be extremely costly and time-consuming to create such data with real
physical setups. To alleviate the problem several synthetic sequences
have been proposed in literature. Unfortunately, there are still too few
of such sequences and they do not cover all important situations in which
motion estimation can become difficult...
Student Opportunities: Miniforschung
We offer the possibility to do small projects (Miniforschungsprojekte,
Softwarepraktika, Projektpraktika, ...) in the fields of computer vision,
image processing and the analysis of industrial or biomedical data.
Please contact one of the group leaders to find out more.
HIWI
We are currently looking for an assistant researcher (HiWi) who likes to program in C++. Please contact Prof. Jaehne or Prof. Hamprecht for different projects.
Industry Partners
Bosch: Diplomarbeit Optimierte Umsetzung
Bosch:
Diplomarbeit Weiterentwicklung SW-Struktur
Vacancies / Open Positions / Job offers
Last update: 18.09.2009, 15:56 |
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