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Research position: Large-Scale Data Analysis and 3D visualization

2 Jun 2016, 13:06 UTC
Research position: Large-Scale Data Analysis and 3D visualization

Research position: Large-Scale Data Analysis and 3D visualization
Applications are invited for a research position at the University of Bern in the field of Planetary Science, focusing primarily on large-scale data analysis, 3D visualization and Virtual Reality devices.
Location: University of Bern
Project: Solar system remote sensing
Project leader: Prof. Dr. Nicolas Thomas (nicolas.thomas@space.unibe.ch)

Master’s degree or PhD in Computer Science with background in data analysis visualization.
Handling of complex 3D meshes and integration into different visualization software’s and engines like Unity3D, Unreal engine or Blender. Scripting for these engines is required. Programming languages: C, C++, C#.
Experience with the use of GPU programming.
Solid knowledge in Matrices, Vectors and transformations.
Control and use of Virtual Reality devices like Oculus Rift or Leap Motion and integration into the visualization engines mentioned above.
Scientific software: Matlab or IDL.


Construction and maintenance of a database/archive of data from the scientific instruments onboard spacecrafts.
Providing tools for extracting appropriate data for scientific analysis (e.g. via MySQL querying)
Development of techniques for visualization of 3D datasets (either arising from stereo observations or from combinations of altimeter data with imaging data)
Studies of tomographic techniques for understanding the 3D distribution of dust in a cometary coma

Place: The Planetary Imaging Group (PIG) led by Prof. Nicolas Thomas, is part of the Space Research and Planetology Division (WP) of the Physikalishes Intitut at the University of Bern. The Planetary Imaging Group focuses on the interaction of light with the surfaces of solar system bodies and particularly on the physics of dynamic phenomena involving ices and volatiles species. WP is the leading planetary sciences institute in Switzerland (http://space.unibe.ch) and participates in a large number of European Space Agency and NASA missions. Involvements have recently expanded to include participation in JAXA, ISRO, and Roskosmos-led programmes. Two experimental groups are led by Nicolas Thomas (remote sensing experiments) and Peter Wurz (in situ neutral and ion mass spectrometers). These groups focus on the development of novel experiments for flight on the spacecraft missions of several agencies such as ESA (the European Space Agency) and NASA. The remote sensing experiments provide access to information about the surfaces and interiors of planets, planetary satellites and small bodies. The mass spectrometers are used to determine the composition of planetary atmospheres, planetary and satellite exospheres, cometary outgassing and interstellar gas. These two fields provide input to the theoretical team, led by Willy Benz, which models aspects of the observations and places them in the context of their implications for the formation, evolution and habitability of our and other solar systems.
The Division is currently engaged in developing and completing hardware for ESA’s BepiColombo mission to Mercury, the Trace Gas Orbiter to Mars and the CHEOPS exoplanet mission, analysing results from the HiRISE (MRO), Chandrayaan-1, IBEX, ROSINA (Rosetta), and OSIRIS (Rosetta) experiments and preparing for future missions such as the JUICE and Europa Clipper missions to the Jupiter system.
Start: The starting date of the position is the 1st October 2016.
Salary: Swiss postdoc salaries are extremely competitive even considering local costs of living. They are set by standard local regulations (i.e. the salary scale of the University of Bern).
How to apply: Interested applicants should contact Dr. Antonio Gracia (antonio.gracia@space.unibe.ch) and provide in a single pdf file:

a curriculum vitae;
a one page motivation letter;
a short research statement describing past achievements and future projects.

Also please arrange for letters of references (pdf) to be e-mailed to the project leader and indicate contact details of up to 3 reference persons.
Complete applications received by June 30, 2016, will receive full considerations. Past this date, applications will be considered depending on availability.
The post Research position: Large-Scale Data Analysis and 3D visualization appeared first on NCCR PlanetS.

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