We are seeking a skilled and highly motivated full-time Post-Doctoral Research Fellow to join the Decision and Learning Lab of Dr Elsa Fouragnan at the University of Plymouth, UK. You will work on a UKRI-funded project investigating the Proof of Principle that Transcranial Ultrasound Stimulation (TUS) can be used safely with Psychiatric Patients, using state-of-the-art multimodal neuroimaging methods (including simultaneous EEG-fMRI), resting state fMRI and computational modelling of decision related behaviours.
This is an exciting opportunity for a post-doctoral researcher to undertake and develop high-quality research in a team of internationally recognized leaders in the field. You will be supervised by Dr Elsa Fouragnan and will work closely with the collaborators Prof Matthew Rushworth and Prof Charlotte Stagg at the University of Oxford, UK and Prof Jean-Francois Aubry in Paris, France.
You will be based at the school of Psychology at the University of Plymouth (ranked amongst the 20th best Psychology research department in the UK), which benefits from access to the Brain Research Imaging Centre (BRIC). BRIC is the most advanced multi-modal brain imaging facility in the South West. It is equipped with state-of-the art neuroscience facilities comprising a 3T Prisma scanner and seven cutting-edge human research laboratories, including a non-invasive neurostimulation lab (TUS, TMS, tES), as well as MR-compatible TUS and recording EEG system.
Our group uses multimodal neuroimaging and neurostimulation coupled with computational modelling to characterise and causally manipulate the spatiotemporal and computational principles of the brain networks underlying human decision making (Fouragnan et al., 2015; 2017; 2019; Folloni et al, 2019).
You will be responsible for designing and running a simultaneous EEG/fMRI/TUS decision-making experiment as well as a standalone TUS psychometric experiment, analyzing the results, and disseminating them in papers and conferences. You must have a PhD (or equivalent) in neuroscience, biology, cognitive science or in a related discipline. You must have previous practical experience and working knowledge of fMRI as evident by a strong track record of publications in international journals. You must also have excellent programming skills in Matlab and previous experience in using either FSL or SPM analysis software and working knowledge of univariate or multivariate data analysis techniques. Previous experience in simultaneous EEG/fMRI experiments and transcranial Ultrasound as well as computational modelling of decision-making is desirable.
Informal enquiries may be addressed to Dr. Elsa Fouragnan at elsa.fouragnan@plymouth.ac.uk Please note that applications sent directly to this email address will not be accepted. For more details on our research interests visit http://elsafouragnan.com.
The post is full-time position working 37 hours per week on a fixed-term basis from the 1st of November 2020 or as soon as possible thereafter for three years due to the nature of the funding.
Interviews are expected to take place in late July 2020 via Zoom.
Please note, due to the COVID-19 pandemic the University is currently implementing a number of safety measures as per Government advice therefore the successful applicant may be required to work from home in the first instance.
The University of Plymouth is committed to equality of opportunity, promoting a diverse and inclusive culture, demonstrated through our commitment to the gender equality Athena SWAN Charter and as a Stonewall diversity champion. All applications will be judged solely on merit, however, we particularly welcome applications from groups currently under-represented in the workforce, for example black and minority ethnic groups.
University of Plymouth holds a TEF (Teaching Excellence and Student Outcomes Framework) Silver by the Office for Students.
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