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Post-doctoral Fellow(s) in Computational Science and Engineering (ref. no. CaSToRC_PDF_24_16)

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Τύπος: Πλήρης Απασχόληση / Συμβόλαιο

Deadline for applications: 15/11/2024

Application process open *

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 highly motivated and qualified individual to join the Institute as 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 the nationally (RIF) funded projects ML-NANOCAT,NanoCarbonCaps, and NanoSuperCapS, focusing on the development and application as well of computational methods and simulations for materials with energy applications.

In general, the successful candidate is expected to:

  • Conduct research to further develop research skills and competencies, and publishing novel and significant results in selective peer-reviewed journals and conferences.
  • Contribute to all aspects of sponsored Research, Innovation and/or Development projects (including conducting research, co-authoring publications, implementing deliverables, reporting activities, dissemination activities, etc).
  • Contribute to new grant proposals preparation.

More specifically, the successful candidate is expected to be highly involved in the development and application of ab-initio calculations (density functional theory), atomistic simulations and continuum modelling (finite elements) methodologies for complex nanostructured materials. They will also develop algorithms and codes for simulations/data analytics methodologies in engineering applications.

The position can be either full-time or part-time depending on the successful candidate’s availability. The initial appointment will be for a fixed-term period lasting 12 months and is renewable depending on the availability of funds. Post-Doctoral Fellowships can be renewed depending to performance and availability of funds for a fixed-term period. An internationally competitive remuneration package will be offered, which is commensurate with the level of experience of the successful candidate.

Project specific responsibilities:

  • Develop ab-initio and/or atomistic and continuum simulations methodologies for complex nanostructured materials.
  • Developing algorithms and codes for simulations/data analytics in engineering applications.
  • Performing large-scale computations in computational engineering.

General Responsibilities:

  • Conduct research, innovation and development activities based on project requirements.
  • Collect and analyze data as stipulated by project specifications and supervision.
  • Write research papers in collaboration with the line manager and other peers.
  • Present results at conferences and meetings and contribute to journal publications.
  • Contribute to research proposal preparation, scientific reporting, and project management.
  • Provide mentoring and guidance to Graduate Research Fellows and Research Engineers, if applicable.
  • Contribute to dissemination activities (such as public seminars or targeted talks), promoting external recognition at the national and international levels.
  • Contribute to planning and organization of Center-level and Institute-level internal and external events (such as workshops, conferences) to promote external recognition at the national and international levels.
  • Provide independent input related to research directions, methodologies, etc.

Required Qualifications

  1. A PhD degree in Physical Sciences, Mathematics, Engineering, Computer Science or relevant 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. Experience in conducting peer-reviewed research in the relevant field.
  5. Demonstrated record of publications and conference presentations.
  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. Ability to work independently and as part of an interdisciplinary team.
  10. Proficiency in English (written and verbal).
  11. Strong communication and interpersonal skills.
  12. High level of organizational, analytical and problem-solving skills.

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 Prof Vangelis Harmandaris (v.harmandaris@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 application process is marked as closed

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: Vangelis Harmandis

Reference number: CaSToRC_PDF_24_16

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