Postdoc and PhD positions available at Queens University (Ontario, Canada)

đź‘” Job Opportunities
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Reposting from an internal mailing list. Happy new year:

Postdoctoral Fellowship in Neuroimaging and Cognition in Epilepsy
The WiNTER (Winston Neuroimaging and Translational Epilepsy Research) lab at Queen’s University is recruiting a post-doctoral researcher to lead neuroimaging studies on cognitive dysfunction in people with epilepsy and their correlation with impairments detected with conventional and robotic-assisted neuropsychological assessment.
The lab was founded to improve the understanding of the comorbidities of epilepsy and the diagnosis and surgical treatment of people with epilepsy primarily through neuroimaging techniques and translation into clinical practice. This has developed into employing more multimodal approaches, including robotic technology, neuropsychology, EEG and machine learning. There will be an opportunity to contribute to other ongoing projects, including the use of multimodal neuroimaging in the planning of epilepsy surgery and predicting the risk of recurrence after first seizure using multimodal data and machine learning.
The lab is based in the Centre for Neuroscience Studies at Queen’s University, Kingston, Canada and we have active collaborations with the School of Computing here and other universities within Canada and internationally. Queen’s University offers an advantageous benefits plan to all employees and the lab has an open and collaborative approach. We work closely with the co-located District Epilepsy Centre at Kingston Health Sciences Centre that serves patients across South-Eastern Ontario to translate research advances into clinical benefit.
Experience with a variety of neuroimaging toolkits (e.g. SPM, FSL, FreeSurfer, MRtrix, 3D Slicer), programming in Python and knowledge or experience of machine learning are all assets. You will also have opportunities to supervise and train graduate students working on neuroimaging projects. The position is initially supported by the PSI Foundation and is available immediately for 2 years with potential for renewal.
Application is via an up-to-date CV, a summary of previous research work and the names of three references. Informal enquiries welcome.
For further details:

PhD Studentship in Machine Learning Applied to Multimodal Data for Seizure Prediction
The WiNTER (Winston Neuroimaging and Translational Epilepsy Research) lab at Queen’s University is recruiting a PhD student to work on a multicentre CIHR-funded project on multimodal prediction of seizure recurrence after unprovoked first seizure to guide clinical decision-making. We are developing a predictive machine learning model of seizure recurrence risk using brain connectivity data derived from MRI, functional connectivity from EEG and quantitative neuropsychological data. The project is a collaboration between the First Seizure clinics in Kingston, Ontario and Halifax, Nova Scotia with data acquired at both sites.
The lab was founded to improve the understanding of the comorbidities of epilepsy and the diagnosis and surgical treatment of people with epilepsy primarily through neuroimaging techniques and translation into clinical practice. This has developed into employing more multimodal approaches, including robotic technology, neuropsychology, EEG and machine learning. There will be an opportunity to contribute to other ongoing projects if desired, including the use of multimodal neuroimaging in the planning of epilepsy surgery and robotic assessment of cognitive impairment.
The lab is based in the Centre for Neuroscience Studies at Queen’s University, Kingston, Canada and we have active collaborations with the School of Computing here and other universities within Canada and internationally. The lab has an open and collaborative approach and works closely with the co-located District Epilepsy Centre at Kingston Health Sciences Centre that serves patients across South-Eastern Ontario to translate research advances into clinical benefit. Dr. Winston supervises both in the Centre for Neuroscience Studies and graduate programs at the School of Computing.
The ideal candidate will have a strong background in programming (Matlab, Python or similar). Prior experience or a willingness to learn neuroimaging toolkits (e.g. FSL, FreeSurfer, MRtrix), signal processing and machine learning are key. This position is funded for 4 years by the CIHR.
Informal enquiries welcome. For further details:

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