Closing Date: 23/02/2024

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 CyI is pursued at its five Research Centres: The Computation-based Science and Technology Research Centre (CaSToRC), the Science and Technology in Archaeology and Culture Research Centre (STARC), the Energy Environment Water Research Centre (EEWRC), the Climate and Atmosphere Research Centre (CARE-C), and the Science and Technology Driven Policy and Innovation Research Centre (STeDI-RC). Considerable cross-centre interaction is a characteristic of the Institute’s culture.

The Cyprus Institute invites applications for a Post-Doctoral Fellow who will be integrated in the Computational Science and Engineering team of CaSToRC. The candidate will pursue research in the context of both nationally (RIF) and internally (EC) funded projects, focusing on the overall acoustic behaviour of multi-layered fabrics that combine the nanofiber mesh with standardised materials (e.g. cotton or foam) for the purpose of guiding product design through constrained optimisation and parametric studies.

The initial appointment is for a period of 1 year, with the possibility of renewal subject to performance and the availability of funds. An internationally competitive remuneration package will be offered, which is commensurate with the level of experience of the successful candidate. Travel funding will also be provided for attending training events and presenting at prestigious conferences globally.

Responsibilities/activities to be involved in:

1. Predictive model based on multi-scale computational modelling of complex nanostructured materials for the acoustic performance of nanofiber mesh layer.
2. Developing algorithms and codes for simulations/data analytics in engineering applications.
3. Performing large-scale computations in computational engineering.
4. Writing proposals for accessing computational resources.

Required Qualifications

1. A PhD degree in Physical Sciences, Mathematics, Engineering, Computer Science or similar disciplines
2. Previous experience in molecular simulations for complex molecular systems
3. Previous experience in at least two of the following areas: multi-scale modelling, molecular dynamics, statistical methods, data analytics, and stochastic (Monte Carlo) methods
4. Publications in high-impact factor journals
5. Participation in top international scientific conferences
6. Excellent knowledge of statistics and data analytics methods
7. Excellent knowledge of programming languages such as C, C++, Fortran90, and Python
8. An understanding of High-Performance Computing (OpenMP, OpenAcc, MPI, CUDA)
9. Strong scientific and technical writing skills
10. Excellent knowledge of the English language, both verbal and writing
11. Demonstrated development ability, outstanding organizational, analytical, problem solving and communication skills
12. Excellent interpersonal skills and the ability to adopt to a multicultural/multinational environment

Application

For full consideration, interested applicants should process their application at The Cyprus Institute Exelsys Platform (https://bit.ly/3HDLRTw) based on the instructions given. Applicants should submit a curriculum vitae including a short letter of interest, list of publications and a list of three (3) referees (including contact information) (all documentation should be in English and in PDF Format). For further information, please contact Dr Hilal Reda (h.reda@cyi.ac.cy). Please note that applications which do not fulfill the required qualifications and do not follow the announcement’s guidelines will not be considered.

Recruitment will continue until the position is filled.

The Cyprus Institute is an Equal Opportunities Employer certified from the Cypriot Ministry of Labor and also an HRS4R accredited Institution that adheres to the European Commission’s “Charter & Code” principles for recruitment and selection.

Contact person:Dr Hilal Reda

Reference number:CaSToRC_PDF_24_02