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3.5 years PhD position: Neurogeometry of Vision, deadline 30th of March (Daniele Avitabile)
by Daniele Avitabile March 22, 2017

March 22, 2017

A PhD scholarship in mathematical and computational neuroscience on The neurogeometry of vision is available at the University of Nottingham, within the Modelling and Analytics for Medicine and Life sciences Doctoral Training Centre (http://www.nottingham.ac.uk/mathematics/prospective/research/maml.aspx) This 3.5 year PhD scholarships starts in September 2017. Successful applicants will receive a stipend (£14,553 per annum for 2017/8) for up to 3.5 years, tuition fees and a Research Training Support Grant. Fully funded studentships are available for UK applicants. EU applicants who are able to confirm that they have been resident in the UK for a minimum of 3 years prior to the start date of the programme may be eligible for a full award, and may apply for a fees-only award otherwise. Applications: Please apply via the Training Centre website. Applicants for the MAML programme should have at least a 2:1 degree in mathematics, statistics or a similarly quantitative discipline (such as physics, engineering, or computer science). Completed applications should be submitted by Midnight GMT Thursday, 30 March<http://airmail.calendar/2017-03-31%2001:00:00%20BST> 2017. Supervisors: Dr Daniele Avitabile (School of Mathematical Sciences) Professor Alan Johnston (School of Psychology), Professor Stephen Coombes (School of Mathematical Sciences) Project description: Neural field models are now in common usage in mathematical neuroscience to describe the coarse-grained activity of cortical tissue [1]. For mathematical convenience they often assume that anatomical connectivity is homogenous. However, this is far from the truth. For example, in the primary visual cortex (V1) it is known that there are maps reflecting the fact that neurons respond preferentially to stimuli with particular features. The classic example is that of orientation preference (OP), whereby cells respond preferentially to lines and edges of a particular orientation. The OP map changes continuously as a function of cortical location, except at singularities or pinwheels. The underlying periodicity in the microstructure of V1 is approximately 1mm, the domain of which corresponds to the so-called cortical hypercolumn. Other anatomical evidence suggests that longer-range, patchy horizontal connections link neurons in different hypercolumns provided that they have similar orientation preferences. This project will consider a field of hypercolumns that respects this biological reality. The mathematical model will be that of an integro-differential equation for V1 activity, with V1 viewed as a fiber bundle that associates to every point of the cortex (or retina by the retino-cortical map) a copy of the unit circle [2]. The project will focus on combining realistic retino-cortical maps [3] with next generation neural field models [4] and state-of the art numerical methods [5] to understand not only mechanisms for visual illusions, but also basic notions of how biological tissue can perform visual computations for image completion. The project will involve a mix of high performance scientific computation, nonlinear dynamics, differential geometry, and an enthusaism for learning about visual neuroscience. References 1. S Coombes, P beim Graben and R Potthast, 2014. Tutorial on Neural Field Theory, Neural Fields, Ed. S Coombes, P beim Graben, R Potthast and J J Wright, Springer Verlag 2. P C Bressloff and J D Cowan, 2003. The functional geometry of local and horizontal connections in a model of V1. Journal of Physiology-Paris, 97:221TH236. 3. A Johnston 1989 The geometry of the topographic map in striate cortex. Vision Research, 29, 1493-1500 4. A Byrne, D Avitabile and S Coombes, 2017. A next generation neural field model: The evolution of synchrony within patterns and waves, preprint 5. J Rankin, D Avitabile, J Baladron, G Faye, DJB Lloyd, 2014. Continuation of localized coherent structures in nonlocal neural field equations. SIAM Journal on Scientific Computing 36 (1), B70-B93. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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3.5 years PhD position: The impact of gyrification on cortical activity, deadline 30th of March (Daniele Avitabile)
by Daniele Avitabile March 22, 2017

March 22, 2017

A PhD scholarship in mathematical and computational neuroscience on The impact of gyrification on cortical activity is available at the University of Nottingham, within the Modelling and Analytics for Medicine and Life sciences Doctoral Training Centre (http://www.nottingham.ac.uk/mathematics/prospective/research/maml.aspx) This 3.5 year PhD scholarships starts in September 2017. Successful applicants will receive a stipend (£14,553 per annum for 2017/8) for up to 3.5 years, tuition fees and a Research Training Support Grant. Fully funded studentships are available for UK applicants. EU applicants who are able to confirm that they have been resident in the UK for a minimum of 3 years prior to the start date of the programme may be eligible for a full award, and may apply for a fees-only award otherwise. Applications: Please apply via the Training Centre website. Applicants for the MAML programme should have at least a 2:1 degree in mathematics, statistics or a similarly quantitative discipline (such as physics, engineering, or computer science). Completed applications should be submitted by Midnight GMT Thursday, 30 March 2017. Supervisors: Dr Daniele Avitabile (School of Mathematical Sciences), Dr Stamatios Sotiropoulos (School of medicine), Professor Stephen Coombes (School of Mathematical Sciences), Professor Paul Houston (School of Mathematical Sciences) Project description: The large number of neurons forming the cortex are intricately connected and, to a first approximation, can be modelled as a continuum in space. Neural field models, which make this assumption, have been used to model large-scale neural activity observed in electroencephalogram and magnetoencephalogram neuroimaging studies. Spatio-temporal patterns in these models are relevant to understand epileptic seizures, visual hallucinations and short-term working memory (see [1,2] and references therein). When neural fields are posed on flat surfaces, analytical progress can be made to understand the origin of a wide variety of activity patterns (stripes, localised spots, hexagons, travelling waves, spiral waves). Our brain, however, is not flat. Sculped on the cortical surface are characteristic bumps and grooves, known as gyri and sulci, respectively. This heterogeneity is not only geometrical: neurons have a heterogeneous density and a heterogeneous synaptic wiring (see image above, where densely connected regions are coloured in red). This project will use methods from dynamical systems and computational science to develop a theory for the evolution of synaptic activity on folded brains. We will address the following questions: Tractography and neuroimaging techniques provide us with a detailed map of gyri, sulci and neural wiring. Can we incorporate heterogeneities into neural fields? We expect that curvature plays an important role in pattern selection [3]. What is the effect of the gyrification on neural activity? If a pattern of cortical activity is observed in a model of a "flat brain", will it persist on a "curved brain"? Are cortical waves accelerated/decelerated by curvature and heterogeneities? The analytical techniques used to study patterns in flat cortices have a numerical counterpart on curved surfaces [4]. Owing to recent developments in neural field theory, it has now become possible to track and analyse patterns numerically and predict whether they will be observable in experiments [5]. Can we develop robust and efficient algorithms to perform bifurcation analysis on generic folded cortices? References 1. S Coombes, P beim Graben and R Potthast (2014) Tutorial on Neural Field Theory, Neural Fields, Ed. S Coombes, P beim Graben, R Potthast and J J Wright, Springer Verlag. 2. P C Bressloff (2012). Spatiotemporal dynamics of continuum neural fields. Journal of Physics A: Mathematical and Theoretical, 45(3), 033001. 3. S Visser, R Nicks, O Faugeras and S Coombes (2017) Standing and travelling waves in a spherical brain model: the Nunez model revisited, Physica D, to appear. 4. D Avitabile, P Matthews, R Nicks, O Smith (2017). Patterns of cortical activity in neural fields posed on spherical domains. Preprint. 5. J Rankin, D Avitabile, J Baladron, G Faye, D J B Lloyd (2014) Continuation of localized coherent structures in nonlocal neural field equations. SIAM Journal on Scientific Computing 36 (1), B70-B93. This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please send it back to me, and immediately delete it. Please do not use, copy or disclose the information contained in this message or in any attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. This message has been checked for viruses but the contents of an attachment may still contain software viruses which could damage your computer system, you are advised to perform your own checks. Email communications with the University of Nottingham may be monitored as permitted by UK legislation.

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Postdoc Position at the University of Goettingen in Computational Neuroscience / Retinal Neurophysiology
by Gollisch, Tim March 22, 2017

March 22, 2017

Three postdoc positions are available in the lab of Tim Gollisch at the University Medical Center Goettingen, Germany. Information about the lab can be found at http://www.retina.uni-goettingen.de/. The positions are funded by the ERC Consolidator Grant "CODE4Vision", which will start in June 2017 and run for five years. The project revolves around analyzing the functional connectivity in the neural network of the retina by means of electrophysiological recordings from mouse retina, application of machine learning for data analysis, computational modeling of retinal signal processing, and development of closed-loop physiology experiments. The goals include the development of computational models that capture how the retina encodes natural visual stimuli. Furthermore, we will apply these models to explore optogenetic vision restoration therapies, which we will test with originally blind, optogenetically treated mice. The three postdocs to be hired will focus on different aspects of the CODE4Vision project, such as 1) computational and machine learning-based analysis of large-scale multielectrode array recordings from the retina (up to several thousand electrodes), classification of cell types, statistical inference to extract the layout of presynaptic inputs, and development of computational models; 2) development of closed-loop physiology experiments to extract relevant response characteristics of recorded ganglion cells during the experiment and optimize stimulus presentation "on the fly" to obtain detailed computational models; 3) direct assessment of functional connectivity in the retina by dual recordings (multielectrode arrays plus intracellular electrodes) and comparing responses to current injection and visual stimulation. What will be expected of the applicants? - PhD in neuroscience, computer science, biology, physics, math, engineering or something equivalent - Track record (e.g. publications) showing the candidate's ability to pursue high-quality research - Strong motivation to perform neuroscience research and to integrate experimental and computational approaches - Experience with either electrophysiological methods or computational analyses and computer programming - Ability to integrate into a team - Ability to think independently and advance the project by developing and pursuing own ideas for experiments and analyses - Good command of English (which is the working language in the lab) The positions are for 2 years initially with possibility for renewal. Potential starting dates are from June 2017 onwards, and applications will be considered until the positions are filled. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV as well as names and contact details for at least two references. Also make sure to include a statement of why this project interests you and how you think you could contribute, based on your scientific background. The University Medical Center Goettingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Prof. Dr. Tim Gollisch University Medical Center Goettingen, Dept. of Ophthalmology Waldweg 33, 37073 Goettingen Tel. +49 (0)551 39-13542 tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de> www.retina.uni-goettingen.de<http://www.retina.uni-goettingen.de>

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Call for participation in the Frontiers Research Topic "Machine Learning in Imaging Neurodevelopment and Neurodegeneration"
by Budhachandra Khundrakpam March 22, 2017

March 22, 2017

Hi, We would like to invite you to consider contributing an article to the Frontiers research topic “Machine Learning in Imaging Neurodevelopment and Neurodegeneration”. Here is the link http://journal.frontiersin.org/researchtopic/5986/ machine-learning-in-imaging-neurodevelopment-and-neurodegeneration This research topic intends to help advance the scientific research within the field of machine learning in neuroimaging so as to realize the potential of machine learning to translate neuroimaging data into tools that can directly aid clinicians in diagnosis and therapy for neurodevelopmental and neurodegenerative disorders, such as autism, schizophrenia, Alzheimer’s disease, and Parkinson’s disease, amongst others. For such purposes, this Research Topic welcomes original research and review articles that highlight major trends and challenges in the field and aim to identify new cutting-edge machine learning approaches and their applications in imaging neurodevelopment and neurodegeneration. Potential topics of interests include, but are not limited to: • Machine learning analyses using large-scale neuroimaging data • Computer-aided diagnosis/prognosis for neurodevelopmental and neurodegenerative disorders • Analytical tools and software for computer-aided diagnosis/prognosis • Multimodal fusion for outcome prediction, diagnosis/prognosis, image analysis • Computer-aided lesion detection for neurodegeneration • Machine learning analyses combining neuroimaging and genetics You can submit your work on our Special Issue to one of the journals - Frontiers in Neuroscience, Frontiers In Neurology, Frontiers in Psychiatry, Frontiers in Pediatrics, Frontiers in Computational Neuroscience or Frontiers in Human Neuroscience. Cheers, Budha -- Budhachandra Khundrakpam Research Associate McConnell Brain Imaging Centre Montreal Neurological Institute McGill University Montreal, Canada - H3A 2B4 Phone # 5143986174

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Postdoctoral Position in Computational Neuroscience In Paris
by Juergen Reingruber March 21, 2017

March 21, 2017

Job Offer: A postdoctoral position in computational neuroscience is available to analyze and model the spiking response of olfactory receptor neurons to odorant stimuli. The project is in collaboration with the experimental research group of Philippe Lucas at INRA Versailles (http://ieesparis.ufr918.upmc.fr/spip.php?article244&lang=en) and Jürgen Reingruber at Ecole Normale Supérieure in Paris (http://www.biologie.ens.fr/~reingrub/index.html) Duration: 2 years. After this period, successful candidates are given a promising opportunity to apply for a permanent INRA position. Location: Shared between INRA Center in Versailles and Ecole Normale Supérieure in Paris. Project description: Binding of odorants to their cognate receptors on olfactory receptor neurons (ORNs) initiates a signal transduction cascade that leads to the opening of both cationic and anionic ion channels in the dendritic membrane. The subsequent transduction current entails a sequence of action potentials in the soma. The overall goal of the project is to analyze electrophysiological recordings of action potentials obtained in the lab of Philippe Lucas (from moths and Drosophila), and, using a molecular model for the transduction current developed by Jürgen Reingruber, to derive a Hodgkin-Huxley type of model that explains how the stimulus dependent transduction current is transformed into a sequence of action potential firings. Ultimately, this will unravel how an ORN encodes the intensitive and temporal properties of odorant stimuli into sequences of action potentials transmitted to subsequent neuronal layers. Application and starting date: INRA provides basic funding for the project. However, to ensure a high quality, INRA additionally requires that candidates successfully apply for an AgreenSkills+ incoming fellowship (https://www.agreenskills.eu) an international postdoctoral fellowship program co-funded by the European Union and coordinated by INRA. During the past years the application success rate was around 36%. With the fellowship the postdoc will be endowed with exceptional financial conditions including monthly gross salaries ranging from 3,500 to 4,800 €. In addition, successful candidates are given a promising chance to apply for a permanent INRA position after the postdoc. The next call for AgreenSkills+ submissions is 28 April 2017. Subsequent starting date is flexible. Candidate Profile: We are looking for a highly motivated post-doc with interest in sensory transduction and computational neuroscience. Applicants should have solid foundations in physics, applied mathematics and computer simulations. A background in neuroscience would be welcome. Furthermore, the candidate should be interested in working in an interdisciplinary environment, analyzing electrophysiological data and interacting with experimentalists. Excellent written, verbal, and interpersonal skills are desired. Speaking French is not mandatory. Interested candidates should send a cover letter summarizing their expertise and research interests, a CV with publications and 2 recommendation letters to Philippe Lucas (philippe.lucas(a)inra.fr) and Jürgen Reingruber (reingrub(a)ens.fr) -- Jürgen Reingruber, PhD Institute of Biology (IBENS) École Normale Supérieure 46 rue d'Ulm, 75005 Paris, France Tel: +33 (0)1 4432 3662 Fax: +33 (0)1 4432 8887

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[job] Call for postdoc application in Intrinsically Motivated Deep Reinforcement Learning, at Flowers Lab, Inria (Bordeaux, France)
by Pierre-Yves Oudeyer March 20, 2017

March 20, 2017

[We apologize if you receive multiple copies of this message] Call for postdoc application in Intrinsically Motivated Deep Reinforcement Learning, at Flowers Lab, Inria (Bordeaux, France) Deadline: 30th march Eligibility: candidates should have obtained their PhD diploma after 1st september 2015 https://flowers.inria.fr We are searching outstanding candidates for a postdoc (16 months) who will be working on algorithms for lifelong Deep Learning for robotics, and in particular: - unsupervised or self-supervised deep learning - generative networks such as GANs and/or variational auto-encoders - deep reinforcement learning for robotic control - Intrinsic motivation and curiosity - multi-task reinforcement learning, auxiliary tasks Selected candidates will have the opportunity to work with one of the robotics platforms of the Flowers lab, including several Poppy Humanoid robots and starting from the experimental setup that was runner up for the NIPS 2016 demonstration award, and showing intrinsically motivated multi-task reinforcement learning in real-time on real robots, with interaction with humans (http://goo.gl/03FW4k) or the Baxter humanoid robot (http://goo.gl/nSS7Yp) Candidates should already have shown very strong experience and achievements, shown by publications in top-tier AI/machine learning conferences and journals (e.g. NIPS, ICML, ICLR) in either: - deep learning (both theory and practical implementations) - Reinforcement learning for policy learning of parameterized skills in robotics How to apply =========== CVs and letters of motivation should be sent to Pierre-Yves Oudeyer (pierre-yves.oudeyer(a)inria.fr) before 30th march. The successful candidate would begin to work in september 2017. Deadline: 30th march Eligibility: candidates should have obtained their PhD diploma after 1st september 2015 Pierre-Yves Oudeyer Research director, Inria Head of Flowers Lab Inria and Ensta ParisTech http://www.pyoudeyer.com https://flowers.inria.fr More info: The Flowers Lab: developmental robotics and lifelong multitask machine learning =================================================================== The Flowers Lab, headed by Pierre-Yves Oudeyer, gathers a team of ~20 members and has been one of the pioneers of developmental robotics and lifelong machine learning and artificial intelligence in the last decade, in particular through developping models of intrinsically motivated learning of repertoires of skills that have both contributed to advance understanding of human curiosity and development, and to advance incremental online multitask machine learning techniques in difficult high-dimensional robotic spaces. This work in the Flowers lab is conducted in the context of large international projects (e.g. ERC grant, European projects 3rdHand and DREAM, HFSP project Neurocuriosity), with interdisicplinary collaborations with other labs in neuroscience, psychology, machine learning and robotics. The successful candidates would be directly involved in these international collaborations. The Flowers lab has recently spin-off the Pollen Robotics startup company, and is involved in multiple collaborations with industrials through Inria's strong support towards impacting both science and industry. Inria and EnstaParistech =================== The lab is within Inria, which is a prestigious, and also the largest, public European research insitution focused on computer science, mathematics and their applications. Inria's teams and researchers (> 2800 employees) have received prestigious awards, coordinate many international projects, and have created strong innovations now used in many parts of industry. Inria research center in Bordeaux gathers around 300 researchers. The Flowers Lab is also associated to EnstaParisTech, which is a prestigious French engineering school (university). Bordeaux ======== The Flowers lab in Bordeaux is located in a great building on the border of one of the world most famous vineyard, and 10mn by tram from Bordeaux town center (and 2 hours from Paris through high-speed trains): https://www.inria.fr/en/centre/bordeaux Bordeaux has been recently rated by Lonely Planet as the world's best city to visit: http://www.independent.co.uk/travel/news-and-advice/best-cities-in-the-worl…

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Call for participation in the Frontiers Research Topic “Neuromodulation of Circuits in Brain Health and Disease”
by Ramaswamy Srikanth March 20, 2017

March 20, 2017

We would like to invite you to consider contributing an article to the Frontiers research topic “Neuromodulation of Circuits in Brain Health and Disease”. The research topic is hosted by: Srikanth Ramaswamy, Henry Markram, Mriganka Sur, Anita Disney, Menahem Segal, Michael E Hasselmo, Seung-Hee Lee, Alexander Thiele, and Amy F T Arnsten. The overarching goal of this research topic is to rekindle the field of neuromodulation by providing a state-of-the-art and unifying view of the mechanisms by which a diversity of neurotransmitters and neuromodulators such as acetylcholine (ACh), dopamine (DA), noradrenaline (NE), serotonin (5-HT) and histamine (HA) - the master switches - control genes, proteins, neurons and glia, dendrites, synapses, and emergent states in neural circuits across different brain regions in health and disease. Concretely, our hope is that this research topic will a) establish an up to date view of neuromodulatory control of brain states by ACh, DA, NE, 5-HT, and HA that is encyclopedic in breadth and depth, and b) establish future research directions. Additionally, we also plan to organize a conference to discuss the state-of-the-art and future of neuromodulation research. Contributing authors to this research topic will be invited to present at the conference. The conference will be held at the EPFL campus in Lausanne, Switzerland in September 2017 and further details will be sent out in due course. Frontiers research topics initially require the submission of an abstract of your work, which will be considered by the topic editors to determine if it falls within the goals of the research topic. Approved abstracts will then be invited to submit a complete manuscript. Depending on the article type, Frontiers has article processing charges (APCs). They range from free to 2490$ for original research articles or reviews (please see http://home.frontiersin.org/about/publishing-fees) If submitted to a Research Topic within the deadline there is a 15% reduction for some article types. Frontiers also has a waiver program so that APCs do not stand in the way of science. Key dates for this research topic are as follows: 1. Abstract submission deadline – 1st May 2017 2. Manuscript submission deadline – 1st July 2017 We very much hope to include your valuable work in this area within this research topic to help make it a key reference and a new resource for neuromodulation research. Yours in Neuroscience, Srikanth Ramaswamy Henry Markram Mriganka Sur Anita Disney Menahem Segal Michael Hasselmo Seung-Hee Lee Alexander Thiele Amy Arnsten

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3 years funded Phd in New insights into ADHD through behavioural and modelling studies, Deadline 28th of April
by Eirini Mavritsaki March 20, 2017

March 20, 2017

3 years funded PhD New insights into ADHD through behavioural and modelling studies Applications are invited for a 3-year PhD studentship within the Division of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions like attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children and the role of diet in this. This Ph.D. thesis aims to do this using a novel interdisciplinary approach, behavioural and computational modelling study. The PhD is in collaboration with Prof. John Clibbens and Dr Amy Cook. The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to have teaching experience, to participate to research seminars and to co-supervise undergraduate projects. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>). For application and interview dates please see below, Deadline of Application 28th of April. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. Ø The applicant should enjoy working with children. Ø Experience in C++ and/or Matlab. Desirable Ø A Masters’ degree in research methods, psychology or a computational modelling. Ø Work experience (voluntary or paid) in schools or experience working with children. Ø Access to a car and a valid driving licence. Ø Computational modelling experience. Application Process (Deadline of application 28th of April) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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3 years funded PhD in oscillatory behaviour in Alzheimer’s disease to establish biomarkers, Deadline 28th of April
by Eirini Mavritsaki March 20, 2017

March 20, 2017

3 years funding PhD Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsak) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier’s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer’s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer’s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki(a)bcu.ac.uk<mailto:Eirini.mavritsaki@bcu.ac.uk>) or Prof. Howard Bowman (H.Bowman(a)bham.ac.uk<mailto:H.Bowman@bham.ac.uk> ). For application please see below, deadline of application 28th of April. Candidate Qualification and Specifications: Essential Ø The applicant should hold a good undergraduate honours degree (First or 2:1) in related area. Ø The applicant should have experience of computational models, evidenced by previous work or masters degree. Ø A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). Ø Experience in C++ and Matlab. Desirable Ø A Masters’ degree in research methods, psychology or computational modelling Application Process (Deadline of application 28th of April) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki(a)bcu.ac.uk<mailto:eirini.mavritsaki@bcu.ac.uk> 0121 331 6361 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Research Associate in Functional Brain Mapping
by Wong-Lin, Kongfatt March 20, 2017

March 20, 2017

Research Associate in Functional Brain Mapping Applications are invited for a Post-Doctoral Research Associate (PDRA) in functional brain mapping (FBM) to work on a project aimed at discovering neuromarkers that facilitate stratification of patients with Alzheimer´s disease. The position is currently for 2 years, with possibility for further extension subject to securing funder’s approval. Job Ref at http://www.ulster.ac.uk/jobs: 1632872 Salary: £26,844 to £39,347 Closing Date: 4th April 2017 Duties The successful candidate will use MEG data recorded during cognitive tasks, stimulations, and resting state protocols to explore functional connectivity and other appropriate measures for characterizing individuals with different stages of AD and detecting individuals at the risk of developing AD. S/he will also develop and evaluate methods for assessing treatment effects on individuals with AD in collaboration with industry. Northern Ireland Functional Brain Mapping (NIFBM) facility The NIFBM is located at the Intelligent Systems Research Centre (isrc.ulster.ac.uk<http://isrc.ulster.ac.uk>) of Ulster University, Magee campus, Derry~Londonderry. It is the only brain imaging facility anywhere in Ireland and only one of nine in whole of UK to use a state-of-the-art magnetoencephalography (MEG) to measure brain activity. The facility attracts clinicians and researchers from across Northern Ireland as well as Republic of Ireland. It is equipped with the latest whole head 306 channels Elekta Neuromag MEG TRIUX system, which also includes a 128-channel EEG recording system. We offer several advanced techniques for brain stimulation and analysis that allow us to obtain better results and guarantee a high quality service for both research and clinical applications. The ISRC is a major research unit in the Faculty of Computing and Engineering and hosts around 80 researchers including academic staff, research associates and PhD students organized in four research teams: Neural Systems and Neuro-technology, Computational Neuroscience and Neural Engineering, Cognitive Robotics, and Ambient Intelligence and Virtual Worlds. Based at ISRC, the successful candidate will have an opportunity to interact with researchers from related ISRC teams as well as Biomedical Sciences Research Institute (5* research rating), and the recently developed Centre for Stratified Medicine at Ulster University. Eligibility Requirements An eligible candidate should have a degree in Computing Science, Electronic Engineering, Physics, or a closely related discipline, or a higher degree in the same or related subjects. Applicants with other relevant degrees e.g. medicine, neuroscience or biomedical sciences may also be considered, subject to demonstration of substantial neuroimaging expertise. A PhD degree in an area relevant to the post is also an essential requirement. It is also required that a candidate: * Has extensive hands-on MEG experience including protocol design, setting up experiments and stimulations, and data acquisition; * Has strong skills and expertise in MEG analysis using modern tools such as Fieldtrip, SPM, MNE, and/or Brainstorm; * Has research track record in cognitive neuroscience and/or Alzheimer’s disease supported by at least two high quality journal publications suitable for submission in to UK’s Research Excellence Framework (REF); * Is a self-motivated individual, enjoys working in a team and interacting with researchers and study participants. Please apply on-line by visiting either our university web-site http://www.ulster.ac.uk/jobs or the advertisement appearing at: http://www.jobs.ac.uk/job/AXT197/research-associate-in-functional-brain-map… For more information, please contact Prof. Girijesh Prasad, Principal Investigator & Director NIFBM. E-mail: g.prasad(a)ulster.ac.uk<mailto:g.prasad@ulster.ac.uk>, Phone: 028 71675645. This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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