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Computational Scientist for High Performance Computing and Solar Energy applications (CaSToRC_CSSHPS_17_07)

Reference Number
Job Description

The Cyprus Institute (CyI) is a European non-profit science and technology institution based in Cyprus and led by an acclaimed Board of Trustees. The research aims of the Cyprus Institute are represented by three research centers: the Computation-based Science and Technology Research Center (CASTORC), the Science and Technology in Archaeology Research Center (STARC), and the Energy Environment Water Research Center (EEWRC). Considerable cross-center interaction is a characteristic of the Institute’s culture. 

Description of the position

CaSToRC invites applications for a Computational Scientist for High Performance computing and Solar Energy applications to work towards exascale codes for climate and numerical weather prediction modelling in relation to solar energy application within the H2020 project EoCoE 

The successful candidate will work within the group of CaSToRC and the team at the Jülich Supercomputing Center to improve forecasting codes for future computer architectures.

Job Requirements


  • Development and implementation of tools for high performance computing. 
  • NWP simulations and data analytics with emphasis on scalable algorithms.
  • Collaborative applications to solar energy systems and forecasting.
  • Preparation of reports and publications related to the project.


Required qualifications, skills, knowledge and experience:

  • PhD degree in the fields of Computational Sciences, Physics, Engineering, Applied Mathematics, Solar Forecasting or other relevant fields.
  • Experience in programming C/C++ or Fortran, high performance computing.
  • Minimum 2 years of relevant experience.
  • Proficiency in oral and written English.
  • Analytical problem solving ability.
  • Good interpersonal and teamwork skills.


Additional preferred qualifications: 

  • Experience in the development of data-intensive scientific applications and tool-kits
  • Experience with climate modeling and  data assimilation
  • Experience in parallel programming (ideally CUDA, OpenCL).
  • Experience in High Performance Computing applications.
  • Expertise in climate and data analytics (e.g., cdo, ncl).


The initial appointment will be for a fixed term of one year with possibility of renewal. The salary range will be commensurate with the experience and qualifications of the candidate. 


For full consideration, interested applicants should attach a letter of interest, CV and the names of three contactable referees (all documentation should be in English and in PDF Format). For further information, please contact Profs. Constantia Alexandrou ( and/or Swen Metzger ( Recruitment will continue until the position is filled. Please note that applications which do not follow the announcement’s guidelines will not be considered.

Closing Date
Monday, July 31, 2017