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Postdoctoral position (Bayesian Computation) at QIMRB, Brisbane Australia
by Matthew Aburn Sept. 19, 2017

Sept. 19, 2017

Bayesian Computation Research Fellow (full time 3 year appointment) - Cutting edge data science - Attractive salary packaging & superannuation options This research fellow will develop new systems for model selection and model-based prediction, combining large data sets from patient neuroimaging and intracranial recordings, with biophysical forward models of brain dynamics. *Responsibilities* - You will contribute to the design of systems for Bayesian inference on large data sets, to perform model selection, parameter estimation, data assimilation and prediction using forward models of brain dynamics. - Implement these methods on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research, including an application to diagnosis and treatment of epilepsy. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, statistics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; and evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in applying computational Bayesian methods such as Sequential Monte Carlo, MCMC, Variational Bayes; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 15 October 2017 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

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University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex
by Tim Murphy Sept. 15, 2017

Sept. 15, 2017

University of British Columbia Murphy lab: PDF and Graduate students wanted, automated in vivo imaging and optogenetics in mouse cortex. The Murphy lab at the University of British Columbia is looking for both graduate students and postdoctoral fellows to join a dynamic research team focused on the function of mouse cortex in both normal brain as well as models of stroke and neuropsychiatric disorders. <http://www.neuroscience.ubc.ca/faculty/murphy.html> http://www.neuroscience.ubc.ca/faculty/murphy.html Applicants should have experience in quantitative methods and computer programming and/or behavioral neuroscience. Software systems include both data acquisition and analysis using Python or/and Matlab. Current projects evolve around automated brain imaging/interventions using mouse home cages <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/> https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4909937/. The lab has a fully equipped maker space with a 3D printer and electronics and other hardware fabrication facilities. Future work includes integration of behavioral tasks, including go-, no-go- and fine motor control with automated brain imaging and optogenetic stimulation or inhibition. Projects are focused around two major disease areas, which include stroke and mouse models of neuropsychiatric disorders. The laboratory is part of the UBC Centre for Brain Health and the Graduate program in Neuroscience. These entities form a vibrant research community. Applicants are encouraged to apply directly to Tim Murphy and after an initial application are expected to include 3 letters of reference plus an undergraduate and graduate transcript. Salary and stipends are consistent with Canadian granting standards. Please write: <mailto:thmurphy@mail.ubc.ca> thmurphy(a)mail.ubc.ca Tim Murphy, PhD Professor Kinsmen Lab, Dept. of Psychiatry University of British Columbia 2255 Wesbrook Mall Detwiller Pavilion Rm. 4N1 Vancouver, B.C. V6T 1Z3 Canada 604-822-0705 office

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Postdoctoral fellowship in human intracranial electrophysiology: Cedars-Sinai Medical Center and California Institute of Technology
by Ueli Rutishauser Sept. 15, 2017

Sept. 15, 2017

*** Apologies for multiple postings*** A postdoctoral position focused on investigating the neural mechanisms of learning and memory is available in the Laboratory of Ueli Rutishauser at Cedars-Sinai Medical Center and Caltech. The lab is broadly interested in human memory and decision making. We focus on understanding how new long-term memories are formed, how existing memories are retrieved to make choices, how memories for social stimuli such as faces are formed, and on utilizing this knowledge to develop new treatments for memory disorders. We utilize a combination of in-vivo electrophysiology (single-neuron and local field potential recordings), neuroimaging, computational and behavioral approaches. The focus of this project is on single-neuron recordings in epilepsy patients to investigate the role of theta-oscillations in coordinating activity during memory-based decisions. The applicant will join a vibrant and collaborative interdisciplinary research team consisting of investigators at both Cedars-Sinai Medical Center and the California Institute of Technology. We provide ample opportunity for training with state-of-the art equipment, facilities, analytical methods, and experimental techniques. Our work is funded by the NSF, McKnight Endowment fund, and NIH, including a newly established NIH BRAIN consortium between Cedars-Sinai/Caltech (Rutishauser, Mamelak, Adolphs), University of Toronto (Valiante), Johns Hopkins University (Anderson), and Harvard/Childrens (Kreiman). This provides ample opportunity to work with large-scale single-neuron datasets to test model predictions. This position is based at Cedars-Sinai in Los Angeles. Candidates should have a recent PhD in neuroscience or related field with a track-record of first-author publications. Strong programming (Matlab or similar), data analysis, and statistics skills are required. Previous electrophysiology experience is preferred. Excellent written and oral English communication skills are required. Previous human intracranial EEG and/or macaque electrophysiology experience is a strength. The position is available as early as Nov 1st 2017, with a competitive salary and benefits package commensurate with prior experience (NIH scale). The position is available with an initial appointment for one year and renewal based upon satisfactory performance. Cedars-Sinai is an equal opportunity employer. Applicants should send a CV, brief statement of research interests, and contact information for 2-3 references to Ueli Rutishauser at rutishauseru(a)csmc.edu. Information about the lab and a list of publications can be found at www.rutishauserlab.org . Applications will be reviewed on an ongoing basis. -- Ueli Rutishauser, Ph.D. http://rutishauserlab.org/

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Open position: clinical data manager, Marseille
by Irene Yujnovsky Sept. 14, 2017

Sept. 14, 2017

> > Clinical data manager for national consortium on epilepsy surgery - Aix-Marseille Université > Marseille, FRANCE > > > A position for an experienced clinical data manager is open to create and maintain an epileptic patient database including registration, normalization and security issues and to ensure the communication with the key partners in the academic, clinical and industry sectors with the aim of generating individual Virtual Patient models using The Virtual Brain (TVB) platform as framework (see http://www.thevirtualbrain.org) This database will be generated in the context of the EPINOV (Improving EPilepsy surgery management and progNOsis using Virtual brain technology) project led by Professor Fabrice Bartolomei (http://fr.ap-hm.fr/service/neurophysiologie-clinique-hopital-timone) funded by the RHU programme. > > Qualification > > Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. They should have a degree in biomedical engineering, medical informatics or equivalent level of knowledge. Candidates must possess a solid experience in management of clinical and/or research data and programming (C, MATLAB, Python). Experience with neuroimaging data (stereotactic EEG, MRI, DTI, MEG, EEG), clinical trials, neuroinformatics and its standard formats (for instance DICOM, XNAT, BIDS), machine learning and Big Data would be considered an advantage. > > The EPINOV project and consortium > We are a national consortium composed of clinicians, researchers and industrial partners interested in improving epilepsy surgical prognosis using large–scale brain modelling based on individual epileptic patient data. A prospective, randomized multicenter trial will be conducted with subjects suffering from drug-resistant epilepsy. The clinical trial will systematically evaluate the added value of personalized brain modelling in the surgical decision making. > > Terms of salary and employment > Salary will depend on the diploma and previous experience. Operating languages in the consortium are both French and English. > > Applications including a cover letter, curriculum vitae and the names of two referees should be sent by October 31st 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr > > --

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[jobs] Post-doctoral Position in Brain- and biosignal-based speech recognition @ the Italian Institute of Technology (IIT)
by Alessandro D'Ausilio Sept. 14, 2017

Sept. 14, 2017

The IIT (Italian Institute of Technology) Centre for Translational Neurophysiology (CTNSC) is hiring 1 post-doc on Brain- and Biosignal-based Automatic Speech Recognition. Please find more information here: https://www.iit.it/careers/openings/opening/515-postdoctoral-position-in-br… Deadline: September 25th

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SCiNDU abstract deadline Oct 1st
by Geoffrey Goodhill Sept. 14, 2017

Sept. 14, 2017

A reminder that the SCiNDU abstract deadline is October 1st: SYSTEMS AND COMPUTATIONAL NEUROSCIENCE DOWNUNDER (SCiNDU) Joint meeting with the 2017 QBI Plasticity Workshop and the 10th Australasian Workshop on Neuro-Engineering and Computational Neuroscience Dec 13-15th 2017 Queensland Brain Institute, University of Queensland, Brisbane, Australia http://www.qbi.uq.edu.au/scindu Confirmed speakers: Polina Anikeeva (MIT) Bernard Balleine (UNSW) Daphne Bavelier (U Geneva) John Bekkers (ANU) Kwabena Boahen (Stanford) Tobias Bonhoeffer (Max Planck Martinsried) Rosa Cossart (INMED Marseille) Kenji Doya (Okinawa) Adrienne Fairhall (U Washington) Marta Garrido (U Queensland) Alex Pouget (U Geneva) Pankaj Sah (U Queensland) Andre van Schaik (Western Sydney) Rafael Yuste (Columbia) Abstract submissions for poster presentation are due by Oct 1st. Some submissions will be selected for oral presentation. See http://www.qbi.uq.edu.au/scindu for more details. Professor Geoffrey J Goodhill Queensland Brain Institute and School of Mathematics & Physics University of Queensland St Lucia, QLD 4072, Australia Email: g.goodhill(a)uq.edu.au<mailto:g.goodhill@uq.edu.au> http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden
by Arvind Kumar Sept. 13, 2017

Sept. 13, 2017

*Joint Ph.D. position in Systems Neuroscience at Karolinska Institute and KTH Royal Insti. of Technology, Stockholm, Sweden* We invite applications for a joint PhD position in the groups of Dr. Arvind Kumar (KTH Royal Institute of Technology, Stockholm, Sweden) and Dr. Dinos Meletis (Karolinska Institute, Stockholm, Sweden) to study the dynamics of neuronal ensembles in mouse striatum. *Brief** description of the project* Striatum is the main input of the basal ganglia and plays an important role in a diversity of cognitive and motor functions. The goal of the project is to understand how the population activity of striatal neurons encodes external stimulus and behavioral states of the animal. To this end the student will record, analyse and model the striatal activity in different conditions. *Qualifications* We are looking for a student with a MSc (or equivalent) degree in Physics or Engineering and a strong background in data analysis and/or analysis and modeling of physical systems. Previous knowledge of neuroscience would be useful but not necessary. *Appointment* This will be a joint position at KTH and KI Stockholm, Sweden. The employment as a Phd student is time limited following the regulations for Ph.D. employment in the Higher Education Ordinance (~ 5 years with 80% PhD studies and 20% department service including teaching) of Sweden. *About the research groups* The PhD student will work under the supervision of Dr. Arvind Kumar and Dr. Dinos Meletis. *Dr. Kumar's* research group is based at the *KTH Royal Institute of Technology, Stockholm. *He uses computational and analytical methods to understand the dynamics and information processing in biological neuronal networks. His lab is developing mathematical models of brain diseases to create a theoretical framework to understand the mechanisms underlying the emergence of disease related aberrant activity dynamics in diseases (e.g. Parkinson's diseases, epilepsy, anxiety). Relevant to the project, in last few years they have developed computational models of the striatum and basal ganglia to understand the role of input correlation, emergence of neuronal assemblies and oscillations. More information about Kumar lab *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* *Dr. Meletis'* lab is based at the *Karolinska Institute, Stockholm*. The lab studies neural circuits that are responsible for generating motivated behaviors, for example the basal ganglia and the serotonin system, and how dysfunction in the activity of neuron subtypes can lead to reward disorders. The lab has established experimental methods to perform large-scale in vivo imaging of the activity of neuron subtypes during behavior in freely moving mice and methods to precisely perturb the activity of genetically defined neurons (optogenetics). Relevant to the project, the lab is investigating the distinct role of striatal neuron subtypes in learning and representing reward and punishments, with the aim to develop an understanding of the neural and ensemble computations that underlie behavior. More information about Meletis lab http://meletislab.org/ *Application* The application should include the following documents: 1. CV including your relevant professional experience and knowledge. 2. Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages. 3. Statement of purpose: Why do you want to pursue a PhD, what are your academic interests, how they relate to your previous studies and future goals; maximum 2 pages long. 4. Weblink of representative publications or technical reports 5. Contact information for two reference persons. We reserve us the right to contact references only for shortlisted candidates. Send the above info as a single zip file to Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *Application deadline: 30 Sept. 2017* *For more info. contact* Dr. Arvind Kumar *arvkumar(a)kth.se <arvkumar(a)kth.se>* *https://www.kth.se/profile/arvindku/ <https://www.kth.se/profile/arvindku/>* Dr. Dinos Meletis: *Dinos.Meletis(a)ki.se <Dinos.Meletis(a)ki.se>* *http://meletislab.org/ <http://meletislab.org/>* -- Dr. Arvind Kumar Computational Biology, School of Computer Science and Communication KTH, Royal Institute of Technology, Stockholm, Sweden. Adjunct Faculty at: Bernstein Center Freiburg, Neurobiology and Biophysics, Faculty of Biology University of Freiburg, Germany http://www.bcf.uni-freiburg.de/people/details/kumar cancer blog: http://theoryofcancer.blogspot.com cricket blog: http://rightarmoverfast.blogspot.com

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Open post-doctoral position in Theoretical Neuroscience - INS, Marseille, France
by Irene Yujnovsky Sept. 13, 2017

Sept. 13, 2017

Post-doctoral position in the Theoretical Neuroscience Group - INS, Marseille, France *Summary* The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project EPINOV to work on statistical & dynamical modeling of seizure propagation using personalized brain modeling and neuroinformatics approaches on a cohort of hundreds of epilepsy patients. EPINOV is one of 10 large-scale projects selected in the 3rd round of French scientific excellence program «RHU» managed by the National Research Agency (ANR). The aim of the EPINOV project is to significantly improve presurgical interpretation, guide surgical strategies and translate computational tools into clinical routine of personalized medicine. We use individual MRI scans to reconstruct brain anatomy and connectivity, which are combined with a neural mass model and fit using the Bayesian modeling software Stan to individuals’ intracranial electrophysiology data (stereotactic EEG), validated by clinical data from other modalities, such as MEG, fMRI, and semiology. *Responsibilities* • Scale up statistical models “vertically” to handle more data and higher resolution anatomy, using model comparison techniques to evaluate the advantage of different model structures • Scale out models “horizontally”, performing coherent, reliable inference across a large cohort of patients using dedicated, on-site HPC resources • Develop routines to evaluate and visualize inference results, making them amenable to clinical interpretation • Integrate developed code into existing code bases and pipelines *Qualification*** • Highly motivated to work on an interdisciplinary project and collaborate with the various members of the consortium. • PhD degree in computational neuroscience, mathematical or statistical modeling, machine learning or equivalent level of knowledge. • Significant, demonstrable experience in data fitting (Bayesian modeling, Dynamical Causal Modeling (DCM), Monte Carlo, etc) will be highly appreciated. • Experience with working in a Linux/HPC environment • Programming in a numerically oriented language (R, Python, MATLAB) • Familiarity with Git, unit testing, Docker/VMs is a plus *The Theoretical Neuroscience group*** We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment*** A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by September 30th 2017 to: Dr. Irene Yujnovsky at irene.yujnovsky(a)univ-amu.fr <mailto:irene.yujnovsky@univ-amu.fr> More information about the INS and the Theoretical Neurosciences Group can be found at: http://ins.univ-amu.fr <http://ins.univ-amu.fr/> --

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[INNS-BDDL 2018] Call for Papers
by Teng Teck Hou Sept. 12, 2017

Sept. 12, 2017

[Apologies for cross-postings] ########################################################### CALL FOR PAPERS The 3rd INNS Conference on Big Data and Deep Learning 2018 April 17-19, 2018, Bali, Indonesia Homepage: http://www.innsbigdata2018.org #######################Description:###################### The International Neural Network Society (INNS) is the premiere organization for individuals interested in a theoretical and computational understanding of the brain and applying that knowledge to develop new and more effective forms of machine intelligence. INNS was formed in 1987 by the leading scientists in the neural network field. Researchers and colleagues who work in the area of big data and machine learning, we are happy to announce "The 3 rd INNS Conference on Big Data and Deep Learning 2018 (INNS BDDL 2018) will be held on April 18 – 19, 2018 in Sanur – Bali, Indonesia. The aim of this conference is to create a valuable and important forum for scientists and engineers throughout the world to present the latest research findings and idea at the forefront of Big Data and Deep Learning. Accepted papers will be published by Elsevier, Scopus indexed. Several papers will be selected for possible publication in top journals. The conference will feature a comprehensive technical program with technical tracks on: Track 1: Big Data Track 2: Big Data Algorithms Track 3: Deep Learning Track 4: Application Areas ####################Important Dates################################# * Tutorial and workshop proposals (Submission) 30 September 2017 * Tutorial and workshop proposals (Decision) 7 October 2017 * Paper submission 1 December 2017 * Decision notification 8 January 2018 * Camera-ready submission 2 February 2018 * Conference 17 - 19 April 2018 ################################################################### #########################Keynote Speakers########################## * Geoffrey I. Webb, Monash University, Australia * Kay Chen Tan, City University, Hong Kong ################################################################### #################### Organizing committees ############### General chairs Seiichi Ozawa, Kobe University, Japan Ah-Hwee Tan, Nanyang Technological University, Singapore Program Chairs Plamen P. Angelov, Lancaster University, UK Asim Roy, Arizona State University, USA Mahardhika Pratama, Nanyang Technological University, Singapore Valeri Mladenov, Technical University of Sofia, Bulgaria Petia Koprinkova-Hristova, Bulgarian Academy of Sciences, Bulgaria Petia Georgieva, University of Aveiro, Portugal Honorary Board Mohammad Nuh, Institut Teknologi Sepuluh Nopember, Indonesia Joni Hermana, Institut Teknologi Sepuluh Nopember, Indonesia Heru Setyawan, Institut Teknologi Sepuluh Nopember, Indonesia Local Committee Chairs Dieky Adzkiya, Institut Teknologi Sepuluh Nopember, Indonesia Advisory Board Yew-Soon Ong, Nanyang Technological University, Singapore Robert Kozma, University of Memphis, USA Sankar K. Pal, Indian Statistical Institute, India Haibo He, University of Rhode Island, USA Witold Pedrycz, University of Alberta, Alberta, Canada Leszek Rutkowski, Czestochowa University of Technology, Poland Nikola Kasabov, Auckland University of Technology, New Zealand Fernando Gomide, University of Campinas, Brazil Marley Vellasco, Pontifícia Universidade Católica do Rio de Janeiro, Brazil Yoonsuck Choe, Texas A&M University Minho Lee, Kyungpook National University, South Korea Bao-Liang Lu, Shanghai Jiao Tong University, China Irwin King, the Chinese University of Hong Kong, Hong Kong Tutorials/Workshop Chairs Igor Skrjanc, University of Ljubljana, Slovenia Sundaram Suresh, Nanyang Technological University, Singapore Noor Akhmad Setiawan, Universitas Gadjah Mada, Indonesia Poster Sessions Chairs Eko Setiadji, Institut Teknologi Sepuluh Nopember, Indonesia Agus Salim, La Trobe University, Australia Ali Ridho Barakbah, Politeknik Elektronika Negeri Surabaya, Indonesia Special Sessions Chairs Justin Wang, La Trobe University, Australia Yongping Pan, National University of Singapore, Singapore Alfian Futhul Hadi, Universitas Jember, Indonesia Panel Chairs Sreenatha Anavatti, University of New South Wales, Australia Mukesh Prasad, University of Technology, Sydney, Australia Achmad Affandi, Institut Teknologi Sepuluh Nopember, Indonesia Awards Chairs Tapabrata Ray, University of New South Wales, Australia Dejan Dovzan, University of Ljubljana, Slovenia Richard J. Oentaryo, McLaren Applied Technologies, Singapore Publication Chairs Edwin Lughofer, Johannes Kepler University, Austria Jose Antonio Iglesias, Carlos III University of Madrid, Spain Moamar Sayed?Mouchaweh, Institute Mines Telecom Lille Douai, France Publicity Chair Simone Scardapane, Sapienza University, Italy Teng Teck Hou, Singapore Management University, Singapore Kurnianingsih, Politeknik Negeri Semarang, Indonesia International Liaison Chairs Yun Sing Koh, University of Auckland, New Zealand Deepak Puthal, University of Technology Sydney, Australia Wirawan, Institut Teknologi Sepuluh Nopember, Indonesia Webmaster Mohamad Abdul Hady, Institut Teknologi Sepuluh Nopember, Indonesia Andri Ashfahani, Institut Teknologi Sepuluh Nopember, Indonesia Choiru Za’in, La Trobe University, Australia ########################################################## ###### Topics and Areas include, but not limited to the following###### >>BIG DATA Autonomous, online, incremental learning in big data High dimensional data, feature selection, feature transformation for big data Scalable algorithms for big data Big data analytics Data stream analytics Parallel & distributed computing for big data analytics (cloud, map-reduce, etc.) Online learning Online multimedia/stream/text analytics Link and graph mining Big data and cloud computing, large scale stream processing on the cloud Big data and collective intelligence/collaborative learning Big data and hybrid systems Big data and self-aware systems Big data and infrastructure Big data visualization >>Big Data Algorithm Neuromorphic hardware for scalable machine learning Evolving systems for big data analytics Evolutionary systems and big data Fuzzy systems and big data Cognitive modelling and big data Probabilistic approach for big data Concept drift detection for big data Granular computing for big data Transfer learning for big data >>Deep Learning Deep belief network Convolutional neural network Long short term memory Deep network architecture Deep autoencoder Deep stacked network Deep learning for natural language processing Deep learning for machine vision Evolving deep network Transfer learning in deep learning Online deep learning >>Application Areas Banking and Securities Communications, Media and Entertainment Healthcare Providers Education Manufacturing & Natural Resources Government Insurances Retail & Wholesale Trade Transportation Energy & Utilities, Etc. ############################################################################ ##########################Sponsoring Organizations################# * INNS - International Neural Network Society * MTC - Mechatronic Technology Center, Institut Tecknologi Sepuluh Nopember ################################################################ Previous INNS Conference: INNS 2016 in Thessaloniki, Greece INNS 2015 in San Francisco, USA

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Postdoc Position in ENIMGA-Sleep Working Group
by Masoud Tahmasian Sept. 12, 2017

Sept. 12, 2017

Postdoc Position in ENIMGA-Sleep Working Group ENIGMA-Sleep Working Group has an opening for a post-doctoral position to study brain structure and function in insomnia. The post is based at the Institute of Medical Science and Technology (IMSAT), Shahid Beheshti University, Tehran, Iran. The Institute has a Sleep Laboratory with wireless polysomnography equipment, access to a 3T MRI scan, High resolution EEG, TMS with Neuronavigation system, Psychophysics labs as well as clinical studies facilities. Title of project: Structural and functional maladaptation in insomnia disorder Supervisior: Dr. Masoud Tahmasian MD PhD, Prof. Mojtaba Zarei MD PhD FRCP(UK) The ENIGMA consortium brings together many researchers to understand brain structure, function, and pathophysiology of disease, based on neuroimaging and genetic data. ENIGMA members are multi-disciplinary scientists from all over the world with research projects on neuroscience, clinical psychiatry, and genetics. The ENIGMA-Sleep Group is a recently launched group lead by Dr. Masoud Tahmasian and Prof. Mojtaba Zarei from the Institute of Medical Science & Technology (IMSAT), Shahid Beheshti University, Tehran, Iran. The collaborating teams from across the globe endeavor to join knowledge, experience and vision to address important questions in sleep physiology and its disorders using cutting edge brain imaging techniques and relating them with clinical and laboratory investigations. IMSAT was approved by the Ministry of Science, Research and Technology, and established in 2016. It is one of the fastest growing multidisciplinary research Institute in Iran with well-trained and experienced faculty members from science, engineering and medicine. Our fields of expertise include medical imaging, image processing, clinical trials, wearable technologies, brain stimulation engineering, auditory technology, control engineering, and biomedical technology. There is a wide range of facilities for research at IMSAT including, but not limited to, MRI, EEG, Polysomnography, and actigraphy. There is also a dedicated high performance server for various data analysis. Eligibility: Applicants must have a PhD degree in medical science, neuroscience or engineering with a minimum of one-year research experience in an overseas University. The funding is only available to Iranian nationals. Duration: One year, with possibility to extend for the second year upon successful progression Salary: The successful applicant will be hired by the University with funding support already secured at the rank of assistant professor. Interested individuals should send their CV to m_tahmasian(a)sbu.ac.ir

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