Ruprecht-Karls-Universität Heidelberg

Open Positions

 

[ PostDocs | PhD Positions | Master Theses | Student Opportunities | Industry ]

 

 



PhD Positions

 

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. Please contact the respective group leaders, detailing your scientific interests.





 

PhD in Computational Imaging

 

The University of Heidelberg invites applications for a PhD position in computational imaging.
The goal of the thesis is the development of a novel light-field camera, similar to existing
plenoptic cameras with microlenses, but by coded imaging.


Prospective candidates have a master or diploma degree in Electrical Engineering, Physics or Computer Science.
Besides a strong mathematical background and good knowledge of wave and Fourier optics, we require fluency in
advanced C++ and matlab programming as well as in English and good communications skills.


The positions will be affiliated with the Heidelberg Collaboratory for Image Processing (HCI).
The HCI is part of the Interdisciplinary Center for Scientific Computing (IWR) and comprises
five research groups (Garbe, Hamprecht, Jaehne, Ommer, Schnoerr). The position is funded by
Sony Deutschland GmbH, one of the six industrial HCI partners of HCI.


The Stuttgart Technology Center (STC) of Sony Deutschland GmbH has about 200 employees.
Thirtyfive engineers work in the field of image processing. One research focus is computational cameras.


The gross salary ranges from 39.8 to 46.6 kEUR (TVL/13 step 1 up to step 3) plus social benefits,
depending on qualification and experience. The starting date should be no later than July 2012.


Applications should include a motivation letter, complete CV, the master/diploma thesis (or a link to it),
a list of publications, two references (name, homepage), and be sent by email in PDF format to hci@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

 

     

Master Theses

Not all projects are outlined below. Please contact the respective group leaders to find out about the latest offers.

Light Field / Illumination Field Acquisition

A 4D light field describes the radiometric properties of light within space. Additionally we are interested to vary the non-local 2D illumination field. Aim of this thesis is to build and test a setup which allows for acquiring such 6D reflectance fields using movable cameras and light sources.The system will be tested using both toy examples and industry-relevant objects.
[...more]

Robust Local Features: estimating light fields in outdoor scenes

[...more]

 

Local Features for 3D Shape Retrieval

[...more]

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...
[...more]

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...
[...more]

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, ...
[...more]

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.
[...more]

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. ...
[more...]

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. ...
[more...]

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. ...
[more...]

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...
[more...]

 

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.

 


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Last update: 07.05.2012, 14:59
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