Postdoctoral Research Fellow in Artificial Intelligence (ref. no. CaSToRC_PDF_24_01)

Closing Date: 08/03/2024

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 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 Artificial Intelligence at CaStoRC. The successful candidate will conduct research in the application of existing and novel Artificial Intelligence and Deep Learning methods in cancer research.

More specifically, the successful candidate will contribute in research and development activities of the Agora 3.0 critical infrastructure project, in collaboration with the German Oncology Centre and several other research and industry partners in Cyprus. The project aims to establish a clinical trial unit at the German Oncology Centre, which will produce high quality medical imaging data from prostate cancer patients. The Postdoctoral Research Fellow will work closely with the GOC and a research team from the University of Cyprus to develop AI methods that will utilize medical imaging data to estimate the Gleason score and tumor stiffness through medical imaging.

The initial appointment is for a fixed-term period of 2 years 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:

1. Perform thorough literature review of the current trends and advancements in the use of AI in the medical imaging field and prostate cancer research.
2. Develop multimodal AI models which utilise high quality medical imaging and medical parameters data produced at the German Oncology Centre from prostate cancer patients to estimate Gleason score and tumor stiffness.
3. Analyze results and contribute to the preparation of research manuscripts.
4. Presentation of results in conferences and meetings and participation in journal publications.
5. Contribution to project (scientific) reporting & project management.