Responsibilities
Position holders will engage in innovative research involving the use of Artificial Intelligence, Machine and Statistical Learning methods for advancing the knowledge concerning the success of endotracheal tube insertion of patients in the Intensive Care Unit (ICU). The successful candidates are expected to have a medical imaging background and be keen on applying various medical imaging processing algorithms, including segmentation, working with Computed Tomography (CT) data of the neck. Furthermore, the candidates should be in position to perform integrative healthcare data analytics, jointly analysing medical imaging, medical history, and ICU- derived data.
The successful candidate will work under the supervision of Andreas Panayides, Group Leader, VIDEOMICS: Adaptive Video Processing, Analytics and Communications for Real-Time Applications.
The project
In the recently awarded PRECIOUS project, CYENS CoE (scientific coordinator) joins forces with renowned partners of the German Oncology Center (clinical coordinator) and 3aHealth (project coordinator) towards facilitating personalized medicine services via precision tracheostomy placement. The project duration is two years.
PRECIOUS project’s primary objective is to utilize newly developed methods in medical imaging enhanced with AI capabilities, jointly analysed with clinical and ICU related data, towards generating new knowledge that will allow enhancing the success rates of endotracheal tube insertion. PRECIOUS services will be developed as a stand-alone, reusable, and extensible component, based on state-of-the-art interoperability standards and protocols.
The project Improving Personalized Medicine via AI-based Precision Tracheostomy – PRECIOUS, ENTERPRISES/0223/Sub-Call1/0263 is co-financed by the European Regional Development Fund and the Republic of Cyprus through the Research and Innovation Foundation.
VIDEOMICS: Adaptive Video Processing, Analytics and Communications for Real-Time Applications
- Videomics FRG research focuses on exploiting unique video characteristics to harvest knowledge that is applicable across the spectrum of video technology applications with an emphasis on the healthcare domain. In that sequence, VIDEOMICS group invests in the use of Artificial Intelligence methods for healthcare innovation.
Responsibilities of Research Associate:
- Engage in the PRECIOUS project research activities performing fundamental and/or applied research in medical imaging and integrative healthcare data analytics.
- Work closely with consortium partners to document the specifications and business requirements, organize test processes and set up pilot validation activities.
- Prepare and contribute to project reports, deliverable and follow-up research proposals.
- Participate in the project’s communication and outreach activities in Cyprus and abroad.
- Publish/present project research results in prestigious international conferences and scientific magazines.
For non-EU applicants a work permit will be required