Closing Date: 28/03/2024

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 highly qualified and motivated individual to join the Institute as a Post-doctoral Fellow, and pursue Research & Development (R&D) in the areas of High-Performance Computing (HPC), High-Performance Data Analytics (HPDA) or large-scale Machine Learning (ML). The successful candidate will join both the research and engineering teams of the EuroCC2 project, to support the EuroHPC National Competence Center (NCC) of Cyprus.

About the EuroCC2 project

EuroCC2 is a pan-European project, involving over 30 countries, with the main objective of advancing the competencies of European communities in High-Performance Computing and High-Performance Data Analytics. The Computation-based Science and Technology Research Center (CaSToRC) of the Cyprus Institute is the National Competence Centre for HPC, and as part of EuroCC2, aims to promote advanced technologies in Cyprus, with a focus on HPC, HPDA, machine learning, artificial intelligence and computational modeling/simulation. The main aims for EuroCC2 in Cyprus include strengthening these technical competencies of the island, advancing competitiveness in research and innovation, improving the effectiveness of government services and promoting innovation by engaging with industry. Particular effort is placed on maximizing the socioeconomic impact of advanced technologies through increased collaboration with academia, industry, the public sector, and other national projects.

Position Description

The EuroCC2 Post-doctoral Fellow will be working in Research and support projects that mostly involve HPC, HPDA and large-scale Machine Learning. The main goal of these projects will be to enable academic, public and private organizations in Cyprus to develop their HPC, HPDA, applied data science, and computational modelling skills and to benefit from the growing potential of these technologies. The selected candidate will be working closely with CyI Faculty, Research staff, the Engineering team, as well as with external organizations towards achieving this goal. This position offers a unique opportunity for exciting R&D using state-of-the-art HPC, applied data science methods, big data analytics and data management systems and for interacting with both researchers and users of these technologies.

The initial period of the appointment will be for a duration of 21 months. Post-Doctoral Fellowships can be renewed depending on 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.

Responsibilities/activities to be involved in:

1. Participation in projects with academia/industry/public sector.
2. Collection and statistical analysis of data from various application domains.
3. Close collaboration with cross-functional teams, such as researchers, product managers, backend engineers, data scientists.
4. Research and Development of novel methods in any of the following: HPC, HPDA, large-scale ML, data-driven computational science and technology, big data analytics, data management systems.
5. Contribution to project reports and deliverables.
6. Involvement in training and user-support events.

Required Qualifications

1. PhD in Computer Science, Electrical and Computer Engineering, Data Science or any other relevant field.
2. Previous experience in at least one of the following areas: HPC, HPDA, large-scale ML, applied data science, computational science and technology, big data analytics, data management systems.
3. At least two publications in leading journals and/or conferences in that research area(s).
4. Strong programming skills and experience with data analysis and/or machine learning frameworks such as R or PyTorch.
5. Experience with processing large and noisy datasets.
6. At least 3-years of relevant experience (including PhD research).
7. Ability to present technical concepts to non-technical users.
8. Excellent knowledge of the English language, both verbal and writing.
9. Demonstrated development ability, outstanding organizational, analytical, problem solving and communication skills.
10. Excellent interpersonal skills and the ability to adopt to a multicultural/multinational environment.

Preferred Qualifications

• Experience with statistical methods.
• Experience in at least one cross-disciplinary application domain.

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 Constantine Dovrolis (c.dovrolis@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: Prof Constantine Dovrolis

Reference number: CaSToRC_PDF_24_04