Description du poste
Full-time: 35 hours per week Fixed-term: to 31 st December 2028 Use your knowledge to drive change. Be part of something bigger. The opportunity Join the EPIC team to develop ground-breaking remote electroencephalogram (EEG) technology with built-in AI detection software, enabling early and equitable diagnosis of epilepsy in infants. This full-time, fixed-term postdoctoral position is funded by EPSRC and offers the opportunity to lead the development of prototypes, collaborate with families, clinicians, and engineers, and contribute to transforming epilepsy care in the UK. EPIC, “Enabling the early and equitable diagnosis of epilepsy in infants in the community” ( usher.ed.ac.uk/epic-infant ), is an interdisciplinary project seeking to meet the urgent need for early and equitable diagnosis of epilepsy in infants. As part of the project, your responsibilities will include: Prototype development: Design and iterate the integration of software with EEG hardware in collaboration with manufacturers and stakeholders. Stakeholder engagement: Gather and prioritise requirements from families and clinicians to ensure the device meets real-world needs. AI and algorithmic integration: Work with EPIC colleagues to integrate AI and signal analysis algorithms into the devices to EEG assessment. Ethical approvals: Contribute to ethical approval and sponsor applications to enable home-based validation of prototypes. Clinical translation: Build the evidence to support the translation of prototypes into clinical pathways. You will also have opportunities to: Publish findings in high-impact journals and present at conferences. Be part of a larger team and interact and collaborate with researchers from different disciplines. The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a working environment where researchers can develop their careers and passion. As part of the EPIC project, you will be part of a dynamic, interdisciplinary environment, within a highly-motivated team devoted to make a difference in the detection and monitoring of childhood epilepsies and to push for a fast translation of the outputs of the project and the prototype into clinical pathways. This post is full-time; however, we are open to considering flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.