Is The Job Related To Staff Position Within A Research
The Cyprus Institute (CyI) is a European non-profit science and technology
oriented Educational and Research Institution based in Cyprus and led by an
acclaimed Board of Trustees. The research agenda of the CyI is pursued at its
four Research Centers: The Computation-based Science and Technology Research
Center (CaSToRC), the Science and Technology in Archaeology and Culture
Research Center (STARC), the Energy Environment Water Research Center
(EEWRC) and the Climate and Atmospheric Research Center (CARE-C).
Considerable cross-center interaction is a characteristic of the Institute's
The Cyprus Institute invites applications for Computational Engineers to take
part in innovative and collaborative projects with academic and industrial
partners that make use of advanced computing technologies. Candidates with a
background in Artificial Intelligence (AI), Machine Learning (ML) or High-
Performance Computing (HPC) are encouraged to apply. The successful
candidate(s) are expected to engage in research and development but also
support other groups as part of the National HPC Competence Centre (NCC), in
order to increase the uptake of advanced computing technologies by the
scientific and industrial user communities. Beyond that, they will coordinate
with other National HPC Competence Centers in EU member countries, participate
in training and dissemination events. In addition, they will have the
opportunity to work with leading experts in interdisciplinary AI applications,
powered by HPC.
The rank of the position(s) will depend on the qualifications and experience
of the selected candidate(s). The initial period of the appointment will be
for a duration of 2 years with the possibility of renewal. An internationally
competitive remuneration package will be offered, which is commensurate with
the level of experience of the successful candidate(s).
Responsibilities/activities to be involved in:
The successful candidate(s) will be carrying out the following activities:
Apply algorithms for machine learning, data analysis and simulation for scientific and industrial applications.
Enable the analysis of big and structured/unstructured data sets using machine learning and data analysis algorithms that can be suitable for HPC infrastructure.
Enable researchers in academia and industry to exploit state-of-the-art AI technology and become familiar with large-scale computer infrastructures in Cyprus and on the European level.
Raise awareness of the utilization of Artificial Intelligence, Machine Learning, Data Science algorithms and HPC for research and innovation through dissemination and training events.
The selected candidate(s) will be trained to deliver appropriate training for the academic, government and industrial sectors.
Prepare and present project specific progress reports.
For full consideration, interested applicants should process their application
at The Cyprus Institute Exelsys Platform
(https: // onlinerecruitment.exelsyslive.com/?c=6E7274A2-8EBA-4BEA-905B-06F790EEB566/)
based on the instructions given. Applicants should submit a curriculum vitae
including a short letter of interest and a list of two (2) referees
(including contact information) (all documentation should be in English and
in PDF Format). For further information, please contact Dr Kyriakos
Hadjiyiannakou (firstname.lastname@example.org). Please note that applications
which do not follow the announcement's guidelines will not be considered.
Recruitment will continue until the positions are filled.
Contact person: Kyriakos Hadjiyiannakou
Reference number: CaSToRCCEHPC2105
A Master's degree in a relevant field, such as Physics, Computer Science, Applied Mathematics/Statistics, and Engineering
At least 1 year of experience in a relevant field
Prior knowledge and experience in areas such as Artificial Intelligence, Machine Learning, Data Science and management of big data, Signal Processing, or Statistical Learning
Previous experience in developing and deploying machine learning solutions in academia and/or industry
Knowledge of parallel computing
Strong programming skills e.g. C/C++, Python, R, Matlab, Julia
Ability to work as part of an interdisciplinary team
Excellent knowledge of the English language (written and verbal)
High level of organizational, analytical and problem-solving skills
Strong presentation skills
High level of communication and interpersonal skills
Experience in Python frameworks for GPU-accelerated machine learning (e.g., PyTorch, Tensorflow, MXNet)
Knowledge of deep learning algorithms or/and HPC (MPI, openMP, CUDA, HIP, openACC)
A PhD degree in a relevant field, as mentioned in the required qualifications will be considered an advantage
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