wiki:positions_2014

Version 3 (modified by csa, 12 years ago) (diff)

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  1. Post doctoral positions
    1. New technologies for data management in fundamental physics
  2. PhD positions
  3. Master topics

Post doctoral positions

New technologies for data management in fundamental physics

Complex distributed data acquisition systems are required to operate modern scientific experiments. Recently a wide range of new technologies has been introduced, significantly increasing computing throughput (Parallel & GPU computing, Grids and Clouds) and enriching interactive and communication capabilities of web applications (HTML5, WebGL, WebCL). With the rapid grow of data rates, increasing complexity through interaction between measurement and simulation subsystems and the request to store scientific results traceable and referenceable, there is a rising demand for the rapid adoption of these new technologies and for new concepts in the areas of data management and scientific computing. Our objective is to design a flexible data management platform and on top of it to build customizable data portals for upcoming dark matter experiments. New methods for data organization utilizing the latest computing, database, visualization, and web technologies have to be developed. The platform should be tightly integrated with the data-center scale infrastructures, like the Large-Scale-Data-Facility (LSDF) at KIT. To push the co-operation within collaborations to a new level, an intuitive web portal providing simulation, visualization, and analysis capabilities has to be developed. Combination of cutting edge web technologies with advanced computing techniques and large-scale computer infrastructures will build the foundation for the next generation of analysis platforms.

Responsibilities:

  • Analyze new computing technologies relevant for data management and actively contribute to scientific collaborations by proposing and developing new methods of data organization.
  • Design and implement data management system for EURECA and maintain running systems for other experiments like KATRIN, KITcube, TOSKA.
  • Present results on conferences, publish research and technical articles, write grant proposals, and supervise students.

Qualification and Required Skills:

  • PhD in computer science, mathematics or physics.
  • Expertise in high performance computing, scientific data processing, parallel systems and software optimizations (knowledge of GPU computing is a plus)
  • Knowledge of cutting-edge database and web technologies

Information:

  • Duration: 3 years

PhD positions

Master topics

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