Post-doc in Computational Neuroimaging of Decision-Making
We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds. The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand. The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable. Interested candidates are invited to contact Dr. Ioannis Delis (*i.delis@leeds.ac.uk <i.delis@leeds.ac.uk>*), email their CV and briefly explain their interest in this position. Starting date is flexible.
Postodoctoral position in Computational Auditory Neuroscience Applications are invited to fill an NIH-funded post-doctoral position at the University of Pennsylvania in the Departments of Otorhinolaryngology (Hearing Science Center; Yale Cohen) and Physics (Vijay Balasubramanian) and the Computational Neuroscience Initiative (Vijay Balasubramanian and Yale Cohen). This project focuses on identifying the neural and computational basis of auditory-object perception in Old World monkeys. The work combines auditory psychophysics, large-scale neuronal recordings, and computational theory. Candidates are expected to have a PhD (or equivalent) related to neuroscience, engineering, physics, psychology, or similar disciplines. Candidates with backgrounds in computational theory are especially encouraged to apply. Preferred candidates will have experience in training Old World monkeys on behavioral tasks, recording neuronal activity while monkeys are engaged in behavior, and using computational approaches to analyze the data. The intellectual environment of the University of Pennsylvania is outstanding for computational auditory neuroscience. The Hearing Sciences Center, which is directed by Cohen, is a multi-investigator group that identifies neuronal correlates of hearing and communication at multiple scales of interrogation, using state-of-the-art computational and causal techniques. The Computational Neuroscience Initiative, which is directed by Balasubramanian, gathers together the Penn faculty who are fundamentally interested in systems and computational approaches to neuroscience. The CNI is the central home for research in theoretical and computational neuroscience at Penn. Candidates will have access and mentorship from faculty in both the Hearing Sciences Center and the Computational Neuroscience Initiative. This will be a full-time, 12-month renewable appointment. Salary will be commensurate with experience and consistent with NIH NRSA stipends. We anticipate a Fall 2019 start date.
participants (2)
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Balasubramanian, Vijay -
Yannis Delis