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BCBT2017 Summer School. Registrations Open!
by INFO CSNETWORK, Bústia Compartida May 4, 2017

May 4, 2017

Apologies for crossposting! ---------------------------------------------------------- CALL FOR PARTICIPATION ---------------------------------------------------------- *Barcelona Cognition, Brain and Technology Summer School -BCBT2017* University Pompeu Fabra, Barcelona, Spain. 28 August - 8 September 2017 BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> Join us for the 10th edition of *"Barcelona Cognition, Brain and Technology summer school - BCBT2017 *" be held 28 August-8 September 2017 in Barcelona, Spain. The BCBT summer school is positioned at the interface between biology and future and emerging technologies with an emphasis on the principles underlying brains and their translation to avant-garde technologies. BCBT promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems. The summer school has been part of a series of events organized by the European coordination action Convergent Science Network of Biomimetics and Neurotechnology (*http://csnetwork.eu/ <http://csnetwork.eu/>*). This year the school is supported by the ERC project CDAC <http://specs.upf.edu/projects/2810> that investigates the role of consciousness in adaptive behavior combining empirical, computational and robot-based approach. BCBT is also supported by EPISENSE <https://www.humanbrainproject.eu/sp3>, a subproject of the Human Brain Project <https://www.humanbrainproject.eu/>(HBP) that investigates brain mechanisms of perception and memory. This is the 10th year of BCBT, which has run with great success in previous years thanks to an excellent line-up of outstanding speakers (see bcbt.upf.edu for previous editions of the school). BCBT lectures <https://www.youtube.com/user/ConvergentScienceNw/playlists> are available online with the BCBT *Podcast interviews *with many of the BCBT speakers. BCBT caters to students and researchers involved in projects that are in the ambit of “BIO-ICT convergence”, "Brain Inspired ICT", “Cognitive systems-robotics”, “Cognitive and neural systems”, “Foundations of social cognition”. BCBT will offer up to 30 student slots for the practical workshops, while as many researchers can register to attend the presentations and discussion sessions as they are interested. The atmosphere of the BCBT summer school is informal with the goal to stimulate in-depth discussion. There are 1 or 2 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and road-mapping workshops or further discussion for senior scientists. For the 2017 edition we plan a *1st week* of the school addressing *Neural basis of Consciousness *while the *2nd week* will include presentations aimed at the investigation of *Evolutionary and Developmental aspects of nervous systems and behavior.* Friday 8 is reserved for the presentation of the student projects to which everybody is invited. *Application deadline: July 24, 2017* For more information on how to apply, please go to BCBT2017-Eventum UPF <https://eventum.upf.edu/9240/detail/bcbt-2017.html> *BCBT is organized by* Paul Verschure, ICREA and University Pompeu Fabra Barcelona, ES, Tony Prescott, Sheffield University, UK Anna Mura, University Pompeu Fabra Barcelona, ES

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Postdoctoral Fellow position at Mclean Hospital/Harvard Medical School
by Wei Tang May 4, 2017

May 4, 2017

An NIH-funded postdoctoral fellow position is available in the Haber laboratory in the Basic Neuroscience Division at McLean Hospital, a Harvard Medical School affiliate. We are a seeking a highly motivated individual with interests in a multidisciplinary approach for understanding network interactions between emotions and cognition. The position includes implementation and development of combining image methods to precise anatomic mapping to: 1) understand networks of prefrontal cortex and basal ganglia that underlie motivation and decision making; 2) use this data to guide and interpret connectivity profiles in the human brain, and link the neurocircuits to functional networks, and 3) determine how abnormal connectivity profiles in obsessive compulsive disorder, addiction, and depression, are related to specific circuits. One goal of the laboratory is to identify specific network dysfunction in diseases and develop novel targets for brain stimulation. The successful applicant will join a vibrant and collaborative laboratory and scientific community at McLean Hospital. (S)he will have full access to the diverse research, financial, and career development opportunities offered through both McLean Hospital and Harvard Medical School. Candidates should have a PhD or MD/PhD in neuroscience or related discipline, with a strong computational background and a particular interest in neural circuits underlying cognitive and emotional networks. Experience in the following areas is preferred. - Circuit mapping - Computer science - Neuroscience - Neuroimaging Interested applicants should send a cover letter, CV, and contact information ((including phone numbers, email addresses) for three reference letters to Suzanne_Haber(a)urmc.rochester.edu. The position is full-time with excellent benefits. Salary will be commensurate with experience. Successful candidate will be proposed for academic appointment as a Research Fellow in the Department of Psychiatry at HMS. Qualified women and minority candidates are encouraged to apply. Review of applications will begin immediately and continue until the position is filled. McLean Hospital, which is an affiliate of Harvard Medical School, is an Equal Opportunity Employer. It is the policy of McLean Hospital to affirmatively provide equal opportunity to all qualified applicants for employment and existing employees without regard to their race, religion, color, national origin, sex, age, ancestry, protected veteran status, disability, sexual orientation, gender orientation or any other basis that would be in violation of any applicable law or regulation.

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Funded PhD in Computational Neuroscience (Investigating oscillatory behaviour in Alzheimer’s disease to establish biomarkers: an EEG and computational programme of PhD study)
by Eirini Mavritsaki May 3, 2017

May 3, 2017

Reminder funded PhD Please note the deadline of application is 10th of May 2017 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 Mavritsaki and Prof. Maxine Lintern) 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. 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 10th of May) 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 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

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Multiple Positions in Translational Neurophysiology Lab @ Feinstein's Center for Bioelectronic Medicine
by Platt, Jo Ann May 2, 2017

May 2, 2017

We are seeking Post Docs, Research Assistants/Associates, Staff Scientist, and a Senior Staff Scientist for Stavros Zanos's Translational Neurophysiology Lab in the Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research - Long Island, New York. Submit your CV and cover letter to japlatt(a)northwell.edu We are seeking research assistants, post-doctoral researchers, staff scientists and senior staff scientists to work full-time in neurophysiology, cardiovascular physiology and bioelectronic medicine research projects. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. Individuals applying for this position should have experience in porcine or nonhuman primate neurophysiology or cardiovascular physiology research, with awake or anesthetized animals. Experience with chronic implants, human neuro/cardiovascular physiology and analysis of physiological data is desired. RESEARCH ASSISTANT/ASSOCIATE: Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Bachelor of Science Degree, required; Master of Science/Engineering desired Research experience with large animal models (porcine or nonhuman primate) desired Research experience in neurophysiology and/or cardiovascular physiology, desired Exposure to data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The Translational Neurophysiology Laboratory at the Center for Bioelectronic Medicine, headed by Stavros Zanos MD PhD, focuses on the development and testing of novel devices and therapies in large animal models, in health and disease. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation. The successful candidate: Performs a variety of independent activities involved in planning, organizing and conducting assigned portion(s) of specific research projects. Participates in the coordination of sharing information, lending assistance, and solving problems with other team members, as needed. Receives guidance and/or direction for assignments that are project-specific. Job Responsibilities Include: Performs experimental studies include physiology experiments in large animal (porcine) models Learns, researches and recommends new experimental procedures, as necessary Oversees care and servicing of Center related equipment, tools and instruments. Assists in coordinating repair and managing warranties/service contracts. Collaborates with investigator and other team members in developing plans, organization, implementation and monitoring for research projects. Participates in compilation/writing of integrated reports and preparation of presentations and manuscripts of scientific meetings and technical journals. Performs collection, verification and documentation of research data. POSTDOCTORAL RESEARCH TRAINEE - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.), required Authored/co-authored research papers and/or scientific abstracts, required Research experience with large animal models (porcine or nonhuman primate) desired Research experience in neurophysiology and/or cardiovascular physiology, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will perform physiology experiments, collect, organize and analyze data, and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Responsibilities Include: Performs research projects as directed. Follows and adheres to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to specific project. Submits manuscripts and abstracts for publication to peer review journals and presentations at local, national and international conferences. Performs a variety of tasks, including but not limited to, correspondence, attending meetings, database maintenance, maintaining records, charts, etc. Provides technical direction to research staff. STAFF SCIENTIST - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.), or Bachelor of Science and relevant research experience (>5 years) required Research experience with large animal models (porcine or nonhuman primate), required Research experience in neurophysiology and/or cardiovascular physiology, desired Authored/co-authored research papers and/or scientific abstracts, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will perform physiology experiments, collect, organize and analyze data, and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Responsibilities Include: Performs research as directed and trains and provides technical and scientific direction to other research staff. Follows and adheres to experimental protocols in a proficient and meticulous manner. Responsible for the collection, analysis and interpretation of research data related to one or more projects. Keywords: neurophysiology, cardiovascular physiology, large animal models, neural engineering, bioelectronics, electrodes, recording, stimulation, peripheral nerves SENIOR STAFF SCIENTIST - Translational Neurophysiology - Bioelectronic Medicine QUALIFICATIONS: Doctorate degree (Ph.D, M.D. or D.V.M.) and relevant post-graduate academic or industry research experience (>5 years) required Research experience with large animal models (porcine or nonhuman primate), highly desired Research experience in neurophysiology and/or cardiovascular physiology, highly desired Authored/co-authored research papers and/or scientific abstracts, desired Knowledge of data analysis software (e.g. Matlab), desired RESPONSIBILITIES: The successful candidate is expected to work full-time on physiology and neural engineering projects using stimulation of peripheral autonomic nerves to modulate the immune, cardiovascular and central nervous systems. The lab utilizes a variety of techniques from neurophysiology and cardiovascular physiology, chronic implants, experimental surgical and interventional techniques and bioelectronic systems for closed-loop neural recording and stimulation, in large animals, both in health and in disease models. The lab is part of and collaborates closely with other labs at Feinstein's CBEM: neural decoding and data analytics, bioelectronics and biosensing, microfabrication, neural bypass, electrochemistry, molecular targets, etc. The lab also participates in clinical research through collaborations with Northwell's clinical teams (neurosurgery, neurology, gastrointestinal medicine, cardiopulmonary medicine, psychiatry etc). The successful candidate will lead and perform physiology experiments, collect, organize and analyze data, train research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Responsibilities include: Leads and performs research. Trains and provides technical and scientific direction to research staff. Responsible for the planning, collection, organization, analysis and interpretation of research data related to one ore more projects. Keywords: neurophysiology, cardiovascular physiology, large animal models, neural engineering, bioelectronics, electrodes, recording, stimulation, peripheral nerves The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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Multiple Openings for Research Scientists and Engineers in Machine Learning to Reverse-Engineer Intelligence
by Lopez, Camila May 2, 2017

May 2, 2017

Multiple Openings for Research Scientists and Engineers in Machine Learning to Reverse-Engineer Intelligence We are looking for exceptionally talented researchers that share our vision: to discover new computational principles of brain intelligence and apply these principles to create fundamentally new algorithms for machine intelligence. We are particularly interested in candidates with expertise in machine learning, computational neuroscience or with strong quantitative background in Mathematics, Statistics, Physics or Computer Science. Our Neuro-Inspired Networks for Artificial Intelligence (ninai.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__ninai.org&d=DwMGaQ&c=ZQ…>) research team is interdisciplinary and international, with expertise ranging from large-scale neurophysiology and brain circuit analysis to deep learning. POSITIONS: We have opportunities in several project components and multiple locations, and all participants will interact extensively across multiple scientific disciplines and multiple sites. Highest-priority topics include: * Developing new architectures for deep networks * Neuro-inspired networks for real-world tasks * Functional modeling of neuronal microcircuits * Probabilistic inference by population codes * Statistical analysis of large-scale neural data from behaving animals THE TEAM: The project is led by Andreas Tolias (PI) and Xaq Pitkow (co-PI), from Baylor College of Medicine, and includes researchers from Caltech, Columbia, Cornell, Rice University, University of Toronto, University of Tübingen, the Allen Institute, and Princeton: Matthias Bethge, Liam Paninski, Ankit Patel, Clay Reid, Sebastian Seung, Thanos Siapas, Raquel Urtasun, Chris Xu, Richard Zemel and Richard Baraniuk. For detailed information about the team and its members, please see our website, ninai.org<https://urldefense.proofpoint.com/v2/url?u=http-3A__ninai.org_&d=DwMGaQ&c=Z…>. QUALIFICATIONS: Candidates must have a record of productivity, excellent quantitative skills, good communication skills, and creativity. Experience in Machine Learning and in particular Deep Learning is desired. APPLYING: The positions provide a competitive annual salary and benefits, and outstanding scientific opportunities. Applicants should email a CV, letter of research interests, and contact information for three references to info(a)ninai.org<mailto:info@ninai.org>. We look forward to hearing from you! Camila Lopez Baylor College of Medicine 713.798.4072 | camilal(a)bcm.edu<mailto:camilal@bcm.edu>

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Extended deadline for abstract submissions, Neuroinformatics 2017!
by congress May 2, 2017

May 2, 2017

Dear all, *Due to the many requests we received, we have extended the abstract submission deadline to May 30!* *Submit here: http://neuroinformatics2017.org/abstracts/ <http://neuroinformatics2017.org/abstracts/>* The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* <http://neuroinformatics2017.org/> *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Kuala Lumpur!* Best Regards INCF Secretariat

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postdoc in mind reading by machine learning
by Máté Lengyel May 1, 2017

May 1, 2017

Postdoctoral Fellow in Computational Cognitive Science Central European University, Budapest, Hungary We are seeking a highly creative and motivated postdoctoral fellow to work in the group of Mate Lengyel at the Department of Cognitive Science, Central European University, Budapest, Hungary (https://cognitivescience.ceu.edu/) The group is also twinned by the Lengyel group at the Computational and Biological Learning Lab, Department of Engineering, University of Cambridge (http://learning.eng.cam.ac.uk/Public/Lengyel/) where Dr Lengyel holds a permanent position. The group studies learning and memory from computational, algorithmic/representational and neurobiological viewpoints. Computationally and algorithmically, we use ideas from Bayesian approaches to statistical inference and reinforcement learning to characterise the goals and mechanisms of learning in terms of normative principles and behavioral results. Specifically, the project will characterise how human’s structured and high dimensional mental representations change in time due to forgetting, learning, interference, and other processes. For this, state-of-the-art machine learning techniques will be employed to analyse a diverse set of behavioural data sets collected by our experimental collaborators: Gergely Csibra (infant studies) and Jozsef Fiser (visual perception and learning) in Budapest, and Daniel Wolpert (sensorimotor control) in Cambridge. The project is funded by an ERC grant, providing internationally competitive salaries. The successful candidate will have - a strong quantitative background - demonstrable interest in the analysis of behavioural data - obtained (or be close to the completion of) a PhD or equivalent in computational neuroscience, physics, mathematics, computer science, machine learning or a related field Preference will be given to candidates with - previous experience in machine learning, computational and / or behavioural neuroscience - sufficient programming skills to run numerical simulations (eg. in C, Python, or MatLab) - expertise with advanced data analysis and Bayesian techniques Research environment: The Central European University is the highest-ranked university in Hungary. It is a privately funded and endowed, fully English-speaking, postgraduate-only university, accredited in both the USA and Hungary. The Department of Cognitive Science is one of the most highly regarded centres for cognitive science in Europe, with world-leading groups in infant cognition, visual cognition, and social cognitive science. It provides a vibrant research environment, by running two journal club events per week on selected topics in cognitive science, a monthly research club, a weekly series of guest seminars by invited speakers from around the globe, a visitors programme with about two-three leading researchers in the field spending several months at the Department every year, and various small-to-medium sized international workshops, conferences, and summer schools organised locally by members of the Department. More broadly, Budapest is an exciting city, with a rich history and busy cultural life, great cuisine, and a very affordable cost of living index. For informal queries, please contact Máté Lengyel <m.lengyel(a)eng.cam.ac.uk>. Applications will be accepted until the post is filled. Mate Lengyel -- Department of Cognitive Science Central European University Oktober 6 street 7, Budapest H-1051, Hungary tel: +36 1 887 5142 , fax: +36 1 887 5010 Computational and Biological Learning Lab Cambridge University Engineering Department Trumpington Street, Cambridge CB2 1PZ, UK tel: +44 (0)1223 748 532, fax: +44 (0)1223 332 662 email: m.lengyel(a)eng.cam.ac.uk web: www.eng.cam.ac.uk/~m.lengyel

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PhD positions at the Queensland Brain Institute
by Geoffrey Goodhill May 1, 2017

May 1, 2017

The Queensland Brain Institute (QBI) at the University of Queensland invites expressions of interest from exceptional and highly motivated candidates to undertake full-time PhD research in neuroscience. QBI has 40 labs and ~100 PhD students and ~100 postdocs studying all aspects of neuroscience, including systems and computational. QBI is looking for students who can demonstrate: - excellent academic performance during tertiary study evidenced by a high Grade Point Average (GPA); - a high level of commitment to developing their skills as a researcher to conduct high quality neuroscience research; - possession of strong communication skills. The first stage of the application process is to identify the QBI Group Leader with whom you would like to work via https://qbi.uq.edu.au/groupleaders. Then email that Group Leader, including your detailed academic resume and links to any publications, and complete tertiary academic records (including GPA scores/grades, and grading scale details). If interested, the Group Leader will then work with you to develop your application for submission to QBI. For more information about QBI, PhD entry criteria, and UQ scholarships, please visit the QBI website https://qbi.uq.edu.au Expression of Interest closing date: 25 June 2017 (11:55 PM) E. Australia Standard Time. 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 http://www.qbi.uq.edu.au/professor-geoffrey-goodhill

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postdoc position in sleep and circadian rhythms modelling
by Svetlana Postnova April 29, 2017

April 29, 2017

*Postdoctoral Research Associate in Neurophysics of Sleep-Wake Dynamics and Circadian Rhythms* *School of Physics Reference no. 721/0417* *The position focuses on studying sleep-wake and circadian dynamics phenomena in the brain using mechanism-based modelling approaches and experimental data across various dynamical scales: from neurons to behavior* *Full-time, fixed term for 2 years with the possibility of extension to 3 years, subject to performance, funding, and need * *Remuneration package: $104k-112k AUD pro rata p.a. which includes leave loading and up to 17% superannuation* *About the opportunity * Applications are sought for Postdoctoral Research Associate (Level A) in the School of Physics in the Complex Systems Group led by Professor Peter Robinson. The group is involved in a number of interdisciplinary research centres, including the NHMRC Centre of Excellence for Translational Sleep and Circadian Neurobiology (NeuroSleep), the ARC Centre of Excellence for Integrative Brain Function (CIBF), and the Cooperative Research Centre for Alertness, Safety, and Productivity, as well as numerous national and international collaborations. *About you* The successful applicant will work with a team of researchers on a variety of sleep-wake and circadian-related projects that underpin a wider program of sleep-wake and circadian research, including understanding and modelling of the relevant neurobiological mechanisms during normal sleep-wake cycles, circadian misalignment (e.g. jetlag), and sleep restriction, as well as prediction of dynamics in real-world conditions. To be successful in this position you should have following: - undergraduate major in physics, applied mathematics, or similar field - theoretical/computational PhD in physics, computational neuroscience, biological modelling, applied mathematics, engineering, or allied field; thesis must have at least been submitted for examination by the time of interview for this position (approximately 3 weeks after closing date). - experience in physiologically-based modelling of biological systems (as opposed to or in addition to signal analysis and statistical modelling). - demonstrated ability to program in Matlab , C++, or Python - proved research ability and evidence of self-motivation and research potential, including the ability to conduct research activities under limited supervision - publications in refereed journals *Desirable criteria also apply * *About us* Since our inception 160 years ago, the University of Sydney has led to improve the world around us. We believe in education for all and that effective leadership makes lives better. These same values are reflected in our approach to diversity and inclusion, and underpin our long-term strategy for growth. We’re Australia's first university and have an outstanding global reputation for academic and research excellence. Across 9 campuses, we employ over 7600 academic and non-academic staff who support over 47,000 students. We are undergoing significant transformative change which brings opportunity for innovation, progressive thinking, breaking with convention, challenging the status quo, and improving the world around us. The position is full-time fixed term for two years, subject to the completion of a satisfactory probation period for new appointees with the possibility of extension to three years, subject to performance, funding, and need. *All applications must be submitted via the University of Sydney careers website.* Visit sydney.edu.au/recruitment and search by the reference number for more information and to apply. *Closing date:* 11:30pm 18 May 2017 (Sydney Time) We are committed to diversity and social inclusion. We welcome applications from women (particularly for senior and non-traditional roles), Aboriginal and Torres Strait Islander people, people with a disability, people who identify as LGBTIQ, and people from culturally and linguistically diverse backgrounds. *©* The University of Sydney The University reserves the right not to proceed with any appointment. -- Dr Svetlana Postnova CRC for Alertness Safety and Productivity & Complex Systems Group School of Physics, University of Sydney room 438, Madsen F09, NSW 2006, Australia Phone: +61 2 9036 7971

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[ANN] 10ᵀᴴ Advanced Scientific Programming in Python in Nikiti, Greece, August 28—September 2, 2017
by Jakob Jordan April 28, 2017

April 28, 2017

10ᵀᴴ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the Municipality of Sithonia Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquiredirect hands-on experience with the materials. Students will work in pairsthroughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 31, 2017. There will be no deadline extension, so be sure to apply on time ;-) Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Date & Location =============== August 28—September 2, 2017. Nikiti, Sithonia, Halkidiki, Greece Program ======= → Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization → Software Carpentry • Test-driven development • Debugging with a debuggger • Profiling code → Scientific Tools for Python • Advanced NumPy → Advanced Python • Decorators • Context managers • Generators → The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data → Practical Software Development • Group project Preliminary Faculty =================== • Francesc Alted, freelance consultant, author of Blosc, Castelló de la Plana, Spain • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George MasonUniversity, Fairfax, VA USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux, France • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UCBerkeley, CA USA • Nelle Varoquaux, Berkeley Institute for Data Science, UC Berkeley, CA USA • Tiziano Zito, freelance consultant, Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Berlin, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George MasonUniversity, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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