Postdoctoral Research Fellow in Data-Driven Computational Science (ref. no. CaSToRC_PDF_23_05)

Updated: 7 months ago
Job Type: FullTime
Deadline: 24 Jun 2023

24 May 2023
Job Information

The Cyprus Institute

Research Field

Engineering » Computer engineering
Computer science
Researcher Profile

First Stage Researcher (R1)
Recognised Researcher (R2)

Application Deadline

24 Jun 2023 - 00:00 (Asia/Nicosia)
Type of Contract

To be defined
Job Status

Hours Per Week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

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 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 Postdoctoral Research Fellow in Data-Driven Computational Science at CaStoRC. The successful candidate will conduct fundamental research in one or more of the following areas:

  • Data mining methods
  • Complex network analysis
  • Deep learning architectures
  • Cross-disciplinary applications of “big data” methods in climate science, smart farming, education, health, etc


The candidate will be working primarily with Prof. Constantine Dovrolis (recently moved to CyI from Georgia Tech -- see ).

This position offers a unique opportunity for fundamental research and its exact focus will be determined also based the interests and skills of the successful candidate. The successful candidate will also work closely with the PI in writing relevant grant proposals.

The appointment is for a fixed-term period, 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.


Responsibilities/activities to be involved in:

  • Development of novel methods in any of the following: data mining, complex network analysis, machine learning/AI, data-driven computational science.
  • Collection and statistical analysis of data from various application domains.
  • Writing research papers in collaboration with the PI -- aiming to publish at top-tier conferences and journals.
  • Presentation of results in conferences and meetings and participation in journal publications.
  • Contribution to research proposal preparation, project (scientific) reporting & project management.
  • Supervision and guidance of Research Assistants and Students.

    Research Field
    Engineering » Computer engineering
    Education Level
    PhD or equivalent

    Research Field
    Computer science
    Education Level
    PhD or equivalent

    Research Field
    Education Level
    PhD or equivalent

    Specific Requirements

    Required Qualifications

  • PhD in Computer Science, Computer Engineering, and other related fields of Natural Sciences and Engineering at the time of the appointment. The candidate must hold a PhD degree of a recognized higher education institution before the deadline of the opening. Candidates who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree will also be considered eligible to apply provided that they can document their successful defense of the thesis.
  • Publications in any of the following areas: data mining, complex networks, machine learning, AI, data-driven computational science.
  • 3-year experience (including PhD research)
  • Proficient programming skills and experience with data analysis and/or maching learning frameworks such as R or PyTorch.
  • Ability to work as part of an interdisciplinary team while showing initiative and independence.
  • Excellent knowledge of the English language (written and verbal).
  • Excellent communication and interpersonal skills.

    Preferred Qualifications

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


    Additional Information
    Selection process


    For full consideration, interested applicants should process their application at The Cyprus Institute Exelsys Platform ( ) 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 ( ). 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: Constantine Dovrolis

    Reference number: CaSToRC_PDF_23_05

    Work Location(s)
    Number of offers available
    Postal Code
    Konstantinou Kavafi 20

    Where to apply



    20 Constantinou Kavafi, Aglantzia, 2121 Nicosia

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