Tweet
Applications are invited for a 24-month Post-doctoral Research Fellow position as part of the NeuroInsight Marie Skłodowska-Curie COFUND Action for Postdoctoral Fellowships.
NeuroInsight is a collaboration between the the Insight SFI Research Centre for Data Analytics and the FutureNeuro SFI Research Centre for Chronic and Rare Neurological Diseases.
The award will provide for salary (indicative range €42-52K plus allowances depending on host and applicant status), research costs, training and career development programme. The NeuroInsight fellowship programme will fund a large cohort of research fellows who will be selected following a competitive application process. The current round of applications will close in late October 2023. For detailed information on the opportunity, eligibility and the application process please see the call documentation on www.neuroinsight.eu
As part of the NeuroInsight application process, applicants are invited to submit their proposed research program for their Fellowship and to have agreed supervision from a NeuroInsight supervisor. The research program can be based on the applicant's own ideas, ideas from potential supervisor(s), or a combination.
In this listing we focus on research ideas that I am interested in advancing through the NeuroInsight programme. If any of these is of interest to you we we can support you through the application process. Each of them is based on my programme of research that leverages wearables and mobile to drive better understanding of and to enhance human performance in health and sport:
Prior to application, interested applicants should contact me for further discussion – b.caulfield@ucd.ie
NeuroInsight is a collaboration between the the Insight SFI Research Centre for Data Analytics and the FutureNeuro SFI Research Centre for Chronic and Rare Neurological Diseases.
The award will provide for salary (indicative range €42-52K plus allowances depending on host and applicant status), research costs, training and career development programme. The NeuroInsight fellowship programme will fund a large cohort of research fellows who will be selected following a competitive application process. The current round of applications will close in late October 2023. For detailed information on the opportunity, eligibility and the application process please see the call documentation on www.neuroinsight.eu
As part of the NeuroInsight application process, applicants are invited to submit their proposed research program for their Fellowship and to have agreed supervision from a NeuroInsight supervisor. The research program can be based on the applicant's own ideas, ideas from potential supervisor(s), or a combination.
In this listing we focus on research ideas that I am interested in advancing through the NeuroInsight programme. If any of these is of interest to you we we can support you through the application process. Each of them is based on my programme of research that leverages wearables and mobile to drive better understanding of and to enhance human performance in health and sport:
- Development and evaluation of novel strategies for quantifying and visualising patterns of activity and motor behaviour in neurological conditions using data from wearables – see https://doi.org/10.1159/000512044 for previous work on this topic.
- Deepening our understanding of the potential role of digital biomarkers of dynamic balance in the prediction and management of concussive injuries in sport. Over the past 5 years we have built a large dataset of dynamic balance performance (using the Q-YBT test) and are interested in advancing work described in https://doi.org/10.1177/0363546518812820 and https://doi.org/10.1111/sms.13691
- Development and technical/clinical validation of point of care or home based motor assessment protocols that leverage open source computer vision based pose estimation tools – building on work described in https://ieeexplore.ieee.org/document/10136215 and https://doi.org/10.1007/s10618-022-00895-4. In this case the clinical application context could be very flexible, and I am open to exploration of applications that range from identification of risk factors for overuse injuries in sport to natural history studies in different neurological, rheumatological or MSK patient groups.
- Use of AI tools for automated anomaly detection in large time series datasets. In this case I am interested in development and validation of tools that can be used for automated data cleaning for time series datasets arising from observational digital mobility studies.
- Further development and field validation of a flexible software platform for conducting remote digital mobility observational studies in neurological research. We have built a prototype platform that enables multi-site collaboration on digitally enabled trials, with capability for both patient and investigator led data capture strategies. See https://developerinsight.wixsite.com/wisp for more information.
Prior to application, interested applicants should contact me for further discussion – b.caulfield@ucd.ie