Opportunities

Student Intern (m/f) in the fields of Image Processing and Computer Graphics at Fraunhofer ITWM

Job Type
Student Assistant
Additional Information
PDF
Contact
Benjamin Karer
Last Modified
3 February 2017, 18:22
Description
The department Image Processing of Fraunhofer ITWM makes use of and expands the most recent scientific breakthroughs for two main purposes: analysis and modelling of micro- and nanostructures and development of the state-of-the art machine vision systems. Our products allow both inspection and optimization of everyday production processes in most different industries all over Europe. RayPlan – the project you would be working RayPlan focuses on achieving new advances in vision based surface inspection systems by combining computer graphics, image processing and robotics. If you would want to find a defect on a surface of an object, just by looking at it, you would probably rotate the object in your hands, while checking if anything “behaves differently” from what you would expect. Now, try to reconsider some of the elementary steps you would have had to do in order to inspect the object – find the appropriate combination of rotation, light source and viewpoint angles, as well as get the knowledge of how the correct surface should look like, etc. The process sounds pretty straight forward, until you try to get the computer to do it automatically for various cases. That is where we jump in! In this particular part of the project, we decided to take the surface as the main source of our “troubles” since its behavior varies greatly from one material to the other and, somehow, restrains it. In order to tackle the problem, we want to be able to reconstruct the micro geometry of the surface using photometric stereo methods. In addition, we want to read its light response parameters and turn them into a model. This will be further used to generate multiple instances of the same surface. The model will allow optimization of imaging conditions as well as introduce the possibility to develop novel approaches to defect detection and estimation of its behavior.

An Interactive Visualization Tool to Analyze Occupation Spaces

Job Type
Bachelor Thesis
Start
29 November 2016
Additional Information
PDF
Contact
Dr.-Ing. Kathrin Feige
Last Modified
29 November 2016, 10:32
Description
Facing global climate change and resource shortages, it becomes crucial for economies to follow a more sustainable path, reducing their ecological impacts. In this context, one of the concrete aspects is the distribution of so-called “green” jobs, which are jobs in industries that are connected to sustainable technologies and lifestyles. The analysis of the distribution of “green” jobs is a research topic at the Arizona State University, but the collaborating experts there need help visualizing their data. And this is where you come in: For this bachelor thesis, we expect the successful student (i.e., you) to implement a web-based visualization tool that can help experts to assess,  how many jobs in an administrative unit (e.g., in a city) are “green”, and how many are not. Using a visualization for networks and complementing it by intuitive interaction techniques, you will help making the world a little better. If you're interested, please read the attached PDF for slightly more details. If you're still interested afterwards, please write me an e-mail, so we can make an appointment, have a cup of coffee and a cookie, and discuss the details.

Scientific Visualization and Visual Analytics of Planetary and Stellar Magnetic Fields

Job Type
Master Thesis / Project
Start
1 June 2016
Additional Information
PDF
Contact
Patrick Rüdiger
Last Modified
17 May 2016, 11:56
Description
Numerical simulation of the magnetic field generation of the Earth (the geodynamo), other planets, and the sun, presents an enormous computational and visualization challenges. Simulations of the physical system that generates the magnetic field, the geodynamo, is being developed and carried out on some of the world’s fastest computers, requiring massively parallel computing to carry out long-duration simulations at sufficiently high resolution. Effective and specialized analysis and visualization systems capable of allowing a geophysicist to truly comprehend a simulated data set in its entirety and derive the relevant, hidden scientific insight are still missing. Our research effort is motivated by this fact, and the members of interdisciplinary constituting this effort jointly specified the design objectives of the magnetic field. Students with own ideas and concepts, even not in the full scope of this topic are highly encouraged to apply.

Development of an Algorithm to Conpensate Missing Sensordata from the Apple Watch

Job Type
Bachelor Thesis / Project
Start
2 May 2016
Contact
M.Sc. Franca-Alexandra Rupprecht
Last Modified
20 April 2016, 10:36
Description
As smartphones are almost ubiquitous today, the usage of those devices as interaction capability is really intuitive and cheap. Therefore, it is reasonable to use smart devices. The smartwatch as latest technology in that field gives new possibilities of interaction techniques especially in a more natural way.  As the smartwatch has limited computing capacity, an Algorithmus has to be developed which is able to compensate missing sensordata in a fast and cheap manner. Based on different interaction techniques the algorithm has to be tested on the Apple Watch and evaluated. Contact: Franca Rupprecht, Room 36-230, Tel.: 0631-2063265, Mail: rupprecht@rhrk.uni-kl.de

5 Months - Academic Stay (Bogotá Colombia)

Job Type
Project
Start
1 June 2016
Contact
M.Eng. Diana Fernández-Prieto
Last Modified
28 January 2016, 12:54
Description
In the framework of the project “DAAD Subject-Related Partnership” led by the Computer Graphics and HCI group at TU Kaiserslautern (Germany) and the IMAGINE Visual Computing group at Universidad de Los Andes (Colombia) we offer the opportunity for TU Kaiserslautern master students to apply for a scholarship for academic stay at Universidad de Los Andes (Bogotá, Colombia). Duration: 5-months academic stay starting in June until the first week of November. More Information: http://www-hagen.cs.uni-kl.de/?page_id=191