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Fwd: PostDoc position in Glasgow
by Gary Green 01 Sep '14

01 Sep '14

3-Year Post-Doc position in MEG at the Centre for Cognitive Neuroimaging, Glasgow, UK We are seeking a candidate to perform neuroimaging studies (MEG/EEG) on auditory and audio-visual perception in the context of a 3-year projected entitled, “Pathways and mechanisms underlying the visual enhancement of hearing in challenging environments”. The study is performed in a leading neuroimaging facility (http://www.ccni.gla.ac.uk/) under the supervision of PIs Christoph Kayser (http://inl.ccni.gla.ac.uk/) and Joachim Gross. Candidates will be working in an interdisciplinary environment and will take over large parts of the project incl. data acquisition, data analysis, and dissemination. Ideal candidates have a PhD in a relevant subject area, and extensive and up-to-date theoretical and practical knowledge of MEG or EEG, signal processing using Matlab, general neuroimaging experience as well as knowledge of the current literature in the fields of multisensory integration, brain rhythms and speech perception. This position is funded for 3 years from 1 December 2014, at UK RA Salary Grade 7 (£33,242 – £37,394 per annum). Please apply online at www.glasgow.ac.uk/jobs Closing date: 28 September 2014 Questions may be directed to the PI: Christoph.Kayser(a)glasgow.ac.uk.

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Fwd: Job-offer in Freiburg, Germany: Research Group leader MRI of stroke recovery
by Gary Green 31 Aug '14

31 Aug '14

The Cluster of Excellence BrainLinks-BrainTools (https://www.brainlinks-braintools.uni-freiburg.de/) offers a position as Research Group Leader to facilitate research on the human brain as a basis for targeted intervention for recovery from stroke. The aim is to reach a level of scientific sophistication at the end of the funding period of BrainLinks-BrainTools that would justify a proof of concept study for individually tailored brain stimulation to improve recovery from stroke. The position is integrated into BrainLinks-BrainTools and located at the Department of Neurology in Freiburg. The Department of Neurology offers a close to unique research environment for the endeavour to identify brain regions related to recovery from stroke. Parallel set-ups for human and animal stroke research are established, including imaging (advanced MRI techniques, PET) and electrophysiology (EEG, various TMS set-ups, tDCS) and behavioural testing. A large database to study patients examined immediately after stroke is available with several clinical neuroscientists currently working on projects on brain function and recovery. We are looking for a CLINICAL NEUROSCIENTIST (MD, Biologist, Psychologist etc.). The position is entitled as a research group (own salary, two PhD students, consumables) and is available from January 1, 2015 until October 31, 2017. Candidates with a background in clinical neurology will be given the opportunity to work clinically in the Department of Neurology if beneficial for the scientific work. Tenure can be achieved based on an internal evaluation and would currently be available only to clinicians willing and eligible to work as "Oberarzt" with patient care after the funding period. The candidate should hold a PhD or MD degree. Previous experience in MRI-research and a strong interest in stroke research, documented by relevant publications are essential. Clinical experience with patients is desirable. The University of Freiburg is an equal opportunity employer. Applications of women are strongly encouraged. Handicapped candidates with equivalent qualifications will be given preference. Please submit applications before October 15^th to Prof. Dr. C. Weiller, Department of Neurology (cornelius.weiller(a)uniklinik-freiburg.de <mailto:cornelius.weiller@uniklinik-freiburg.de>), who may also be contacted for further information.

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Fwd: PhD position in multimodal neuroimaging (PET/DTI/fMRI)
by Gary Green 31 Aug '14

31 Aug '14

A PhD position is open in the research group Multimodal Imaging in Normal and Pathological Cognition (Head: Dr. Igor Yakushev) at the Department of Nuclear Medicine, Technische Universität München (TUM), Munich, Germany. The project is dedicated to modeling/reconstruction of cerebral networks on the basis of brain images, as obtained using PET, DTI, and fMRI. Disease-related changes in patterns of cerebral connectivity should be quantified in patients with cognitive impairment and subjects at risk. The research group is integrated into the TUM Neuroimaging Center, which possesses a broad methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html The PhD student will be enrolled at the TUM graduate school, which offers a structured curriculum of courses and seminars (in English) and supports participation in conferences and international exchange: http://www.gs.tum.de/en/home/ The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research, in an interdisciplinary environment consisting of medical physicists, radiopharmacists and clinicians, and access to state-of-the-art technology including a hybrid PET/MR scanner (Siemens Biograph mMR). Prior experience with image analysis, Matlab programming and good statistical skills are required. A co-authorship in a scientific paper (at least in submission) is advantageous. In case of the technical background (e.g., computer science, biomedical engineering), the student will be co-supervised by a partner department of the TUM (e.g., Informatics). The salary/stipend is 1500-2000 EUR net / month, depending on performance of the student and availability of funds. There is no tuition fee at the TUM. The position can commence immediately, by 1.2015 at the latest. Interested researchers should submit their applications including CV, two recommendation letters (or names and contact details of personal references), and a brief letter of motivation to Dr. Yakushev at igor.yakushev(a)lrz.tum.de Applications will be considered until the position has been filled.

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Fwd: Research Assistant Position at the University of Washington
by Gary Green 30 Aug '14

30 Aug '14

Research Technologist Position Integrated Brain Imaging Center University of Washington An experienced, independent, and organized individual is sought for a full-time Research Technologist position working with Natalia Kleinhans, Ph.D., and Katie McLaughlin, Ph.D., at the Integrated Brain Imaging Center at the University of Washington. The individual in this position would assist with data collection and data processing for two neuroimaging studies of children. Principal duties include: 1) assisting with the administration and support of research projects and activities, including participant recruitment, development of surveys and flyers, and programming fMRI tasks; 2) assisting in data collection through active interaction with child participants, including telephone screening interviews, in-person interviews, and fMRI data acquisition; and 3) conducting pre-processing and analysis of MRI, fMRI, DTI, and MRS data. Ability to work in command line operating systems (Linux) and perform basic shell scripting is required. Previous research or clinical experience with children and experience with other programming languages (e.g., python) is preferred. This position would be an excellent fit for applicants interested in obtaining doctoral training in cognitive neuroscience, clinical psychology, or developmental psychology. To find more information and apply, go to the following website: https://uwhires.admin.washington.edu/eng/candidates/default.cfm?szLocationI… Enter req # 111826

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Fwd: Postdoctoral Position in MULTIMODAL IMAGING OF NETWORK CONNECTIVITY IN AUTISM
by Gary Green 30 Aug '14

30 Aug '14

The Brain Development Imaging Laboratory (BDIL) at the Dept. of Psychology, San Diego State University, is offering 1-2 NIH-funded postdoctoral positions in functional connectivity MRI and related techniques. Current research at BDIL applies fMRI, functional connectivity MRI, diffusion-tensor and restriction spectrum imaging, MR spectroscopy, and volumetric MRI, as well as behavioral and neuropsychological measures to investigate biomarkers in children with autism spectrum disorders (ASD). BDIL (www.sci.sdsu.edu/bdil) collaborates with MR physics, EEG, MEG, and other groups at the University of California, San Diego (UCSD), and has full access to the UCSD Center for Functional MRI (http://fmri.ucsd.edu/), which houses two research-dedicated 3T human scanners. Work will include two newly funded NIH projects using combined MEG, fcMRI, and DTI as well as simultaneous EEG/fMRI acquisition for dynamic functional connectivity studies of ASD. Applicants should have experience in functional MRI and functional connectivity MRI (data acquisition, preprocessing, analysis). Experience in data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI, MRS; EEG, MEG), and in multimodal integration will be relevant, but not indispensable. Applicants who have experience in the study of children (especially those with autism) may be preferred. Please e-mail CV, research statement, reprints, and 3 letters to Ralph-Axel Müller at: rmueller(a)mail.sdsu.edu.

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Fwd: Research assistant position in the area of EEG, eye tracking, and brain–machine interfaces at CITEC, Bielefeld University, Germany
by Gary Green 30 Aug '14

30 Aug '14

The Neuroinformatics Group and Neurocognition and Action Group at the Center of Excellence “Cognitive Interaction Technology” (CITEC, Bielefeld University, Germany) invite applications for an open research assistant position (PhD student or PostDoc, 100% E 13 TV-L) in an interdisciplinary project in the area of EEG, eye tracking, and brain–machine interfaces. We are seeking an outstanding candidate who is interested in multi-modal interface design and data analysis, machine learning, signal processing and brain-machine interfaces. We are particularly interested in applicants with background and training in computer science, electrical engineering or related fields. Successful candidates must hold a MSc degree (or equivalent) in computer science or a related field. Applicants are expected to have experience with signal processing and machine learning techniques on (neuro)physiological data as well as very good programming skills (C++, MATLAB, Python). Experience with experimental work (EEG and/or eye tracking studies) is desired, but not obligatory. We expect a high motivation to work in an interdisciplinary team, the ability to work independently, strong interpersonal skills as well as a good command of English. Knowledge of German is not essential. The position is initially funded for one year and can be extended for two more years. The payment is based on E 13 TV-L. The successful candidate is expected to start work on 01 November 2014. The position is embedded in the Neuroinformatics Group within CITEC at Bielefeld University. It involves a close collaboration with the Neurocognition and Action Group. CITEC provides a unique environment to perform cutting-edge research in an international context. Applicants will receive structured supervision and support through the collaboration with the project partners at CITEC, in particular Prof. Dr. Helge Ritter (Neuroinformatics Group) and Prof. Dr. Thomas Schack (Neurocognition and Action Group). Applications should be sent electronically (in one pdf document) to Dipl.-Inform. Andrea Finke (afinke(a)techfak.uni-bielefeld.de) and must include a cover letter, curriculum vitae and a motivation letter. Review of applications will begin on September 15, 2014 and will continue until the position is filled. Inquiries about the position may be directed to Dipl.-Inform. Andrea Finke. Bielefeld University has received a number of awards for its achievements in the provision of equal opportunity and has been recognized as a family friendly university. Applications from suitably qualified handicapped and severely handicapped persons are expressly encouraged. Bielefeld University encourages applications from women. All applications are handled according to the provisions of the state equal opportunity statutes. Dipl.-Inform. Andrea Finke Neuroinformatics Group, Technical Faculty EXC Cognitive Interaction Technology (CITEC) Research Institute for Cognition and Robotics (CoR-Lab) Bielefeld University, Germany Office: CITEC building 3.225 Labs: 3.044/45 Phone: +49 (0) 521 106-12116 Fax: +49 (0) 521 106-1512116 Web: http://www.cit-ec.de http://www.cor-lab.de http://www.neuroinformatik.de _______________________________________________ Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html To unsubscribe, send an empty email to eeglablist-unsubscribe(a)sccn.ucsd.edu For digest mode, send an email with the subject "set digest mime" to eeglablist-request(a)sccn.ucsd.edu

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Fwd: PhD position in Psycho-/Neurolinguistics, University of Salzburg & CCNS
by Gary Green 30 Aug '14

30 Aug '14

Dear colleagues, Please find below the offer for a PhD student position in Psycho-/Neurolinguistics in my laboratory, to begin in October 2014 (or possibly later). Please feel free to forward this announcement to those on your team who you believe might be interested in the position. Best regards, Dietmar *The newly established research group "Neurobiology of language" in the Department of Linguistics at the University of Salzburg (Austria) conducts research on online language processing, also in interaction with other cognitive sub-systems.* In the context of a project on neurocognitive correlates of language acquisition/L1-L2/Bilingualism we invite applications for the following position: * *1 PhD position* * B1 Uni-KV §26 (75%) * ? 1.961,85 gross (14x annually) * The position is for *4 years* We are searching for candidates with a background in Linguistics and/or Psychology with a focus on Psycho- and/or Neurolinguistics. Previous experience in experimental research and/or in collecting and analyzing EEG and/or eye-tracking data is desirable but not mandatory. The candidate will be expected to undertake a PhD degree within the context of the project, and design, implement, and analyze experiments (EEG/eye tracking/fNIRS) on the project topic with native speakers. S/he will also be expected to write up the results for publication. Contribution to administration and teaching (max. 2 hours per term week) may be required. Applicants are expected to have the following skills: * Master's degree in Psycholinguistics, Cognitive Neuroscience, Psychology, Linguistics, or a related discipline * Excellent command of both English and German; additional knowledge of Russian is a plus. Native knowledge of one of the three languages is desired * Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals * Familiarity with experimental research designs * Good knowledge of statistics or commitment to acquire it * Dynamic and motivated * Capacity to work both independently and as part of a team * Solid programming skills (i.e., MATLAB® and/or R) are a plus * Familiarity with the concept and analysis of oscillatory brain activity is a plus The successful candidate will participate in the activities of the newly established *Centre for Cognitive Neuroscience* (CCNS), and can apply for the international *PhD program* ?Imaging the Mind <http://www.uni-salzburg.at/index.php?id=87>? as an associated student (second funding period expected to begin October 2015). The CCNS promotes a rich research environment and provides access to the most advanced behavioral and neuroimaging techniques, including 3 Tesla MRI, compatible EEG, TMS/navigation, high-density, depth and conventional EEG, tDCS, fNIRS, eye tracking, somatic physiology systems, several well-equipped behavioral labs and an MEG which will be operational in 2016. The CCNS equipment is exclusively dedicated to research, which provides a unique opportunity for graduate students to have generous access to such equipment for learning these modern techniques and using them in their research. We welcome applications from handicapped people. We particularly welcome applications from women. Given equal suitability, qualifications and professional achievement women will be given preference, unless particular circumstances pertaining to a male applicant predominate. Applicants should submit relevant documents (a detailed curriculum vitae, a photo, a copy of their Master's certificate, names of two referees, a letter of motivation detailing the candidate's particular scientific experience, knowledge, competencies and interests). The *deadline *for application submission is *September 9th, 2014* Please send your application documents as a single pdf file via E-Mail with the subject heading ?*GZ A 0104/1-2014*? to: dietmar.roehm(a)sbg.ac.at <mailto:dietmar.roehm@sbg.ac.at>. For questions please contact: Prof. Dr. Dietmar Roehm Department of Linguistics & Centre for Cognitive Neuroscience University of Salzburg Erzabt-Klotz-Straße 1 A-5020 Salzburg Website: http://www.uni-salzburg.at/spr/roehm (p) +43-662-8044-4271 (e) dietmar.roehm(a)sbg.ac.at <mailto:dietmar.roehm@sbg.ac.at>

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Fwd: PhD position in Amsterdam, The Netherlands
by Gary Green 28 Aug '14

28 Aug '14

Dear all, We are seeking talented candidates for a PhD position working with our team at the Department of Psychiatry at the VU University Medical Center in Amsterdam, The Netherlands. For details please see below. Please liberally forward to possibly interested candidates. Deadline for applications is September 7, 2014. Best wishes, Lianne Schmaal ----------------------------------------------------------- *The project* The focus of the proposed PhD project is two-fold; First, the PhD student will will employ advanced computational and statistical methods to evaluate the prognostic value of neuroimaging modalities, biomarker, genetic, environmental and clinical characteristics and their combination to classify the course of depression and anxiety. A second part of the project focuses on employing these methods to disentangle phenotypic heterogeneity of depression by identifying different subtypes based on a rich set of neuroimaging and clinical data and biological protein information, and by exploring the genetic basis of different subtypes and their association with course of depression and treatment response. For these purposes, you will work with data from the Netherlands Study of Depression and Anxiety (_www.nesda.nl_ <http://www.nesda.nl>) in which an extensive battery of detailed longitudinal clinical, biomarker, neuroimaging and genetic data have been collected in a large cohort. You will also work with similar data from other international cohorts, and with data from the MOTAR study (_www.motar.nl_ <http://www.motar.nl>) in which the effects of antidepressant and running treatments are examined. This project will integrate across these data-sources using a variety of methods, including the application of supervised and unsupervised machine learning techniques. You will be involved in the processing of neuroimaging data (structural MRI, functional MRI), associating these data with biomarker, clinical and genetics information and using machine learning methods to classify the patients. You will be working in a multidisciplinary team with young and enthusiastic researchers, who have expertise in psychiatry, genetics, neuroimaging, statistics/engineering and epidemiology. *Your challenge * As a PhD Student your main tasks and responsibilites are: • Help examine predictors of the naturalistic course and treatment response in depression and anxiety; • Identifying subtypes of depression and anxiety based on multimodal data sources; • Apply unsupervised and supervised machine learning methods, such as Support Vector Machine and/or probabilistic methods, to genetic, multi-modal neuroimaging, clinical and environmental data from the NESDA study, the MOTAR study and other international cohorts; • Write various scientific papers on the above topics, and complete your research with a PhD thesis. *Your profile* We are looking for a highly motivated and enthusiastic researcher with a strong interest in psychopathology who has the following background and experience: • A strong numerate background (i.e. a Master's degree in computer science, mathematics, engineering, medical image analysis or related discipline), preferably with emphasis on machine learning, pattern classification, and/or multivariate image analysis; • Experience with neuroimage analysis or with (bio) statistics is desirable; • You have excellent statistical and strong computer programming skills (good command of LINUX, scripting, and Matlab); • You have excellent communications skills in English, both written and verbal; • Having experience in writing (international) publication(s) is a plus. *Benefits* Salary Scale: OIO (EUR 2.200 in the first year that increases to EUR 2.818 gross per month in the fourth year, based on 36 hours per week). We also offer a set 8.3% end-of-year bonus and 8% holiday pay. For more information about our fringe benefits, please visit _http://www.werkenbijvumc.nl/vumc/arbeidsvoorwaarden/_ (Dutch version). The PhD position is for four years, you will start with a contract for 12 months. *Additional information* The Department of Psychiatry of the VU University Medical Center (VUMC) and GGZ inGeest collaborately conduct research, education and academic patient care. The main focus is on depression and anxiety disorders, two common psychiatric disorders with high public health impact. Psychiatric research is embedded in two VU research institutes: EMGO+ and Neuroscience Campus Amsterdam. In this research area more than 150 persons from different disciplines (e.g. psychiatry, psychology, health science) collaborate. *Interested?* For more information you can contact dr. Lianne Schmaal, via telephone number: +31(0)20 – 788 4592 <tel:%2B31%280%2920%20%E2%80%93%20788%204592>. For more information about the application procedure you can contact mr. Wessel Haytink, recruiter, via telephone number: +31(0)6 – 1066 7718. Please submit your candidacy by latest *September 7, 2014* with reference number D2.2014.00077WH via the following link: _http://bit.ly/PhDMachineLearning_ ----------------------------------------------------------- -- Lianne Schmaal, PhD GGZ inGeest/Department of Psychiatry VU University Medical Center P.O. Box 74077 1070 BB Amsterdam The Netherlands Tel: +31-207884592 email: lianschmaal(a)gmail.com <mailto:lianschmaal@gmail.com>, l.schmaal(a)ggzingeest.nl <mailto:l.schmaal@ggzingeest.nl>

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Fwd: PhD and Postdoctoral positions in Majorca, Spain
by Gary Green 26 Aug '14

26 Aug '14

One PhD and one Postdoctoral research positions are available at the Department of Psychology (University of Balearic Islands, Spain) to join an ongoing project on the Cognitive neuroscience of executive control aimed to assess functional and effective connectivity (e.g., Dynamic Causal Modeling) in M/EEG data sets from healthy controls and brain injured patients. The project aims to develop state-of-the-art neuropsychological tools for a more valid and cost-effective evaluation of dysexecutive symptoms in elderly adults and patients with frontal lobe lesions (cf., BarcelÃ³ & Knight, Cereb. Cortex, 2007; Nyhus & BarcelÃ³, Brain & Cognition, 2009).Â Successful pre/postdoctoral candidates will hold a MSc/PhD in Psychology, Biology, Cognitive Neuroscience, Physics, or related fields, and will play a key role in designing, conducting, analyzing and reporting M/EEG studies, with a focus on event-related potentials, oscillatory neural activity and synchrony. Candidates will be fluent in English (knowledge of Spanish is not required), and will prove good interpersonal and communication skills, including writing to a high standard. Both positions are funded by the Spanish Government (MINECOâ??s grant PSI2013-44760-R), as well as other local research agencies.Â Requirements for the PhD student position: 1) EU citizenship; 2) a Master degree and excellent academic marks; 3) Programming skills (eg., Matlab will be a plus); and 4) Demonstrated ability and high motivation to conduct high-quality research publishable in quality international peer-reviewed journals. Requirements for the Postdoc position: 1) Strong background publishing EEG and/or MEG studies; 2) Advanced programming skills (eg., Matlab, C, Python); 3) Excellent command of EEG/MEG data analysis software (EEGLAB, SPM8, Â Brainstorm, etc); and 4) demonstrate creative and independent work.Â Applicants must submit an updated CV in pdf format, a letter of motivation, and the names and emails of two referees to the grant holder: Francisco BarcelÃ³ (f.barcelo(a)uib.es <mailto:f.barcelo@uib.es>). The PhD studentship is for 3 years, and the postdoc position is for one year, with the possibility of renewal. Starting date October 1st 2014, or until the positions are filled. Informal inquires are welcomed. For more information visit: www.mcst.es <http://www.mcst.es>, or www.neuropsicologiaclinica.es <http://www.neuropsicologiaclinica.es>.Â ><><><><><><><><><><><><><>< Francisco BarcelÃ³, PhD Full Professor of Neuropsychology University of Illes Balears (UIB) Ctra. Valldemossa, km 7.5 E-07122 Palma de Mallorca - Spain Personal:Â www.mcst.es <http://www.mcst.es> Lab:Â www.neuropsicologiaclinica.es <http://www.neuropsicologiaclinica.es>Â Phone: 971 172750 Fax: 971 172309 ><><><><><><><><><><><><><><

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Fwd: International PhD Course in Molecular Medicine, Experimental Neurology Section, San Raffaele Hospital, Milan, Italy.
by Gary Green 26 Aug '14

26 Aug '14

The Neuroimaging Research Unit, Vita-Salute San Raffaele University, Milan, Italy, headed by Prof. Massimo Filippi, is looking for graduate students interested in a three-year PhD program in the frame of the International PhD Course in Molecular Medicine, Experimental Neurology Section. Titles and Directors of Study of the programs are the following: 1. Network degeneration in motor neuron diseases (MND): a study of the structural and functional connectomes in amyotrophic lateral sclerosis and other MND. Prof. Massimo Filippi 2. Brain plasticity in multiple sclerosis. Prof. Massimo Filippi 3. Investigation of the functional and structural correlates of cognitive network function in pediatric MS patients. Dr Maria A. Rocca 4. Cervical cord atrophy as a tool for monitoring disease evolution and for predicting long-term disability in patients with multiple sclerosis. Dr Maria A. Rocca 5. The morphological, microstructural and functional MRI correlates of motor, cognitive and neurobehavioral impairment in patients with movement disorders. Dr. Federica Agosta 6. Multimodal magnetic resonance imaging diagnosis of frontotemporal lobar degeneration (ftld): using supervised machine learning techniques to classify individual FTLD and Alzheimer's disease patients. Dr. Federica Agosta The lab has a strong background in multiple aspects of neuroimaging from sequence programming and software design to the analysis of structural and functional images from patients with different disorders of the central nervous system. The candidate will join a group with multiple interests in the field in a positive and productive environment. The ideal candidate should have expertise in the acquisition and analysis of advanced MRI techniques (volumetric, diffusion tensor MRI and functional MRI). Expertise in voxel-based morphometry, tract-based spatial statistics, resting state and active fMRI analyses would be an advantage. She/he will have a good team-working attitude, be self-motivated and have a strong interest in pursuing research in a stimulating and competitive field of science. Admission requirements and procedures are described at http://www.unisr.it/view.asp?id=8802 Deadline for application submission is 11 September 2014. <http://www.5xmille.org/> Disclaimer added by *CodeTwo Exchange Rules 2007* www.codetwo.com <http://www.codetwo.com>

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