Fully-funded Doctoral Scholarship in Computing/Computer Scie

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Joined: Fri Nov 27, 2015 1:10 am

Fully-funded Doctoral Scholarship in Computing/Computer Scie

Post by viki »

The Astrophysics and High Performance Computing group (http://ahpc.euc.ac.cy/) of the Computer Science and Engineering of European University Cyprus is delighted to invite applications for a fully-funded PhD scholarship in Computing/Computer Science. The group is involved in a number of prestigious projects including the FP7 funded project ‘Herschel Extragalactic Legacy Project’ (HELP) and has an extensive network of collaborators in some of the best universities in Europe and the world. The work will involve the exploitation of computational and high performance techniques for the efficient modelling of the spectral energy distributions of large samples of galaxies which will be made available through HELP and other projects.

The group has extensive experience in developing the models which will be used in this project and their application for addressing a number of problems in extragalactic astrophysics. To address the aims of the project the PhD candidate will make extensive use of algorithmic and high performance computing techniques implemented and run on supercomputing facilities which are accessible by the AHPC group and gain experience in this area. The position is suitable for candidates with a background in Computing/Computer Science but also a background in Physical Sciences, Mathematics or Engineering.

For enquiries interested candidates should contact Dr Vicky Papadopoulou Lesta (v.papadopoulou@euc.ac.cy) or Prof. Andreas Efstathiou (a.efstathiou@euc.ac.cy). The deadline for applications is 15th December 2015 and the application procedure is described at http://bit.ly/1OnyXHs.

• Very good university degree (Master or equivalent) in Computer Science or Physical Sciences or Mathematics or Engineering
• Solid skills in programming, software development and in algorithm design and analysis
• Very good mathematical background especially in numerical methods
• Self-motivation, team spirit and willingness to work in interdisciplinary projects
• Knowledge of parallel programming (in particular OpenMP) will be considered an advantage but is not a requirement