| | 19 | = PhD topics = |
| | 20 | == Advanced large-scale data management infrastructure for science == |
| | 21 | * Contact person: Suren A. Chilingaryan csa@dside.dyndns.org |
| | 22 | * [raw-attachment:kitcube_adei_phd_v3.pdf Detailed announcement] |
| | 23 | * [http://jobs.fzk.de/cgi-bin/appl/list.pl?tmpl=job_details_uk&job_nr=408694FC-2B4E-4DFD-9C26-C1A9525ABE20&cat_nr=28FD50F7-057E-4EB7-BF74-E00DD530252E&loc_nr=12B87EE0-C700-11D4-8972-0050BAC69B70 Apply Online] |
| | 24 | Huge quantities of information are produced by scientific experiments world wide. Data formats, underlying storage engines, and sampling rates are varying significantly. The components of large international experiments are often located in multiple, sometimes hardly accessible places, and are developed by only loosely connected research groups. To handle the distributed and heterogeneous nature of modern experiments, a conceptually new design of data management system is required. |
| | 25 | The goal of the project is to propose a new model for storage of large and growing archives of multi-dimensional time series. The model have to be implemented as a flexible and customizable data management framework applicable to a wide range of experimental conditions. It should provide the building blocks required to organize the data flow in scientific experiments and include components simplifying design of easy-to-use web interfaces for data analysis and visualization. The concept should be used for the mobile meteorological experiment KITcube that integrates about 30 complementary devices for atmospheric studies. Application to further experiments is foreseen. |
| | 26 | The task requires knowledge of broad areas of computer technology from high-speed parallel computing to database optimization, and web-based visualization. Emerging technologies should be studied to bring faster and more convenient interface to the users. Particulary, WebCL and WebGL are of extreme importance for web-based data analysis and visualization. A sophisticated techniques of data preprocessing and storage should be developed to quickly generate previews summarizing large quantities of data. The whole range of client platforms ranging from high-end visualization stations to hand-held multi touch smartphones has to be supported. |
| 22 | | = PhD positions = |
| | 28 | '''Qualification and Required Skills''': |
| | 29 | * Master in Computer Science, Electrical Engineering, Physics, or Mathematics |
| | 30 | * Web technologies, database design, parallel programming, 3D rendering, mathematical statistics |
| | 31 | |
| | 32 | == Advanced control system for ultra fast X-ray imaging with GPU-clusters == |
| | 33 | * Contact person: Suren A. Chilingaryan csa@dside.dyndns.org |
| | 34 | * [raw-attachment:ufo_phd_v5.pdf Detailed announcement] |
| | 35 | * [http://jobs.fzk.de/cgi-bin/appl/list.pl?tmpl=job_details_uk&job_nr=7C6C1355-532E-4830-BB31-1EB4B322269C&cat_nr=28FD50F7-057E-4EB7-BF74-E00DD530252E&loc_nr=12B87EE0-C700-11D4-8972-0050BAC69B70 Apply Online] |
| | 36 | The new Image beamline at the KITs synchrotron ANKA is dedicated to the investigation of structures in materials and organisms with a high spatial and temporal resolution. The imaging station consists of an X-ray optical system, a high-precision mechanical system and a set of high-speed cameras producing hundred thousands frames per second and a data rate of up to 4 GB/s. A novel image processing framework has been developed to simplify implementation of algorithms for modern parallel architectures with OpenCL and optimized for clustered environment. To operate this beamline, an intelligent fast control and data management system is required. |
| | 37 | The goal of this work is to build a beamline control system managing the data flow from the camera to the storage. Based on the image processing framework, the image-driven control loops have to be developed. Additional algorithms should be implemented, optimized and added to the framework. An intuitive control interface should allow an easy customization of control loops and data processing chain. Real-time visualization and manual interventions during the experiment is mandatory. For permanent data storage, the Large-Scale-Data-Facility (LSDF) at KIT will be used. It is necessary to connect the control system to the LSDF and design methods to allowing visual navigation through the stored data and fast access to the selected datasets. The control system finally will server as a prototype for the new generation of high-speed and high-throughput beamlines in the synchrotron community. The work is embedded in national and international collaborations for high data-rate processing. |
| | 38 | |
| | 39 | '''Qualification and Required Skills''': |
| | 40 | * Master in Computer Science, Mathematics or Physics |
| | 41 | * Strong C and Python knowledge, parallel computing architectures, numerical algorithms in image processing, 3D visualization techniques, data management, control theory, good understanding of natural sciences |
