Research Fellow (Postdoc, Data analytics / Neurological Disorder) (# of pos: 15)

NeuroInsight is a MSCA- COFUND Action for Individual (Postdoc-level) Fellowships.

We are particularly seeking candidates with a doctoral background in areas including:

• Data Analytics:
  • Decision Making; Multimodal Data Analysis; Data Engineering and Governance; Augmented Human and Wearables; Smart Enterprise for Health
• Neurological Disorder:
  • Therapeutics; eHealth; genomics, bioinformatics and computational biology; preclinical disease phenotyping; clinical research and trials infrastructure

Interested? The first step is to visit our website, and contact a supervisor in your field to discuss a research concept and develop it into a proposal for a 2-year fellowship.

NeuroInsight represents a new postdoc career track, by developing advanced skills in data analytics, AI, machine and deep learning and applying them to the challenges of neurological conditions. We will facilitate high quality research, provide opportunities for fellows to interact with patient groups and datasets, and to develop unique capacity and flexibility for an independent career.

We have 15 positions of 24-months available: apply now to start in Summer 2022. Incoming or Global options are possible.

NeuroInsight operates at the intersection between two existing large scale, distributed programmes of research in Ireland: FutureNeuro, the SFI Centre for Chronic and Rare Neurological Disease, and Insight, the SFI Centre for Data Analytics. Fellows may be hosted by any Irish institute affiliated with these Centres.

Fellows will have access to the full range of FutureNeuro and Insight labs, infrastructure and neurological datasets. Fellowships must pursue one of four research challenge domains:

• Ethnographics: How data from those with neurological disease are collected and shared for the development of precision medicine, including methods to capture such data
• Advanced Analytics: Using patient data to predict important clinical events including response to therapies
• Genomics: The analysis of ‘omic data from human and animal models to inform diagnosis and therapeutics
• Patient Impact: Using insights from data to inform more effective and targeted healthcare provision