Dear YNiC users,
To celebrate and disseminate the exciting work being done by researchers at
the York Neuroimaging Centre, we are planning a YNiC Science Day on the
13th August, from 1.30-5pm.
There will be a series of short research talks by staff and students who
use YNiC, and an opportunity to meet people using neuroimaging and
neurostimulation methods.
If you are interested in giving a talk, please contact Beth Jefferies (
beth.jefferies(a)york.ac.uk).
Hope to see you there,
Beth
--
Beth Jefferies
Department of Psychology, University of York, UK
+44 01904 324368
Dear Users
This afternoon (starting 4 pm in B020, Department of Psychology) Dr.
Mark Woolrich from the Oxford Centre for Human Brain Activity will give
a talk on "Fast transient networks in spontaneous brain activity".
Abstract:
In recent years interest has grown in the study of networks of
functionally specific brain regions, principally through the use of
functional MRI on the resting brain. Resting state brain networks have
also been independently identified in magentoencephalography (MEG) data
by looking at correlations in the power of oscillations in specific
frequency bands [Brookes et al., PNAS, 2011]. However, the mechanisms
and dynamics underlying resting-state brain activity remain under
debate. In this talk I will present a two-pronged approach to
investigating spontaneous brain activity using MEG. First, the use of a
novel hidden Markov model approach to identify resting state brain
networks that switch on the order of 100ms, much faster than has
previously been reported. Second, the use of computational network
models, based on anatomical white matter connectivity, that can simulate
functional connectivity characteristics similar to those seen in real
MEG data.
Everyone is welcome to attend and refreshments will be served in the C
block reception afterwards.
We will be taking Mark out for dinner after his talk. Please let me know
if you would like to join us.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
Method development for coupled EEG-fMRI (2x full EPSRC PhD studentships)
The goal of the project is to develop novel methods for the joint
analysis of signals from electroencephalography (EEG) and functional
magnetic resonance imaging (fMRI), when they are obtained concurrently.
Technological advances of the last 10 years make it possible for
scientists to record both modalities concurrently, in what is now known
as coupled EEG-fMRI. By simultaneously recording these two modalities,
scientists can potentially say where and when neural activity is
occurring, whereas previously researchers had to settle for one or the
other. This engineering feat, however, has not yet been met with the
ability to make use of the combination of these signals to infer more
knowledge than would otherwise be gathered in separate experiments.
Filling this gap is the ambition of the present project.
This is a method project, which requires skills and knowledge in
neuroscience, applied mathematics/statistics/physics and programming.
Candidates who have a strong background in at least two of these three
fields are encouraged to apply, if they are enthusiastic about the
third. Two full studentships are available, and we expect to appoint one
candidate who is stronger in empirical work and a second who is stronger
in analytics. Candidates are expected to have had some prior exposure to
at least one of the two modalities, but will receive training in both.
The two students will be supervised by Dr. Etienne Roesch and receive
support from Dr. Michael Lindner and Prof. Tom Johnstone, with R&D
support from Brain Products, one of the world’s leading manufacturers of
MRI-compatible EEG systems. The group led by Dr. Roesch fosters
interdisciplinary thinking, and students will have the opportunity to
engage in ongoing empirical and modelling work related to perception and
action. The Centre for Integrative Neuroscience and Neurodynamics (CINN)
is host to a research-dedicated 3T Siemens TRIO, with a full license for
sequence development, and a full suite of MR-compatible systems.
Additionally, the students will be granted access to the cluster of
NVIDIA Tesla GPUs and other facilities at CINN, as well as at the Brain
Embodiments Laboratory, in the School of Systems Engineering.
The University of Reading is ranked as one of the UK’s 20 most
research-intensive universities and as one of the top 200 universities
in the world (Times Higher Education 2013). Our campus was voted first
in the Times Higher Education Student Experience survey and has a Green
Flag Award. It is situated 25 minutes West of London. Reading University
Students’ Union was voted the 6th best in the UK (National Student
Survey 2012).
Essentials: Commitment to academic research and personal development;
Ability to work collaboratively; Effective interpersonal and
communication skills, including writing to a high standard, document
preparation for technical notes and journal papers; Experience of work
in interdisciplinary settings; Attention to details.
Desirables: Self-guided work in developing statistical designs and
approaches in research; Creative approach to problem solving; Ability to
work independently; Experience in giving presentations and conveying
complex ideas clearly.
Eligibility: Applicants should hold a minimum of a UK Honours Degree at
2:1 level or equivalent in a relevant subject. Please note that due to
restrictions on the funding this studentship is for UK/EU applicants only.
Funding Details: Studentship will cover Home/EU Fees, pay the Research
Council minimum stipend (£13,863 in 2014/15) for up to 3 years and
include funding for international conferences.
How to apply: To apply for this studentship please submit an application
for a PhD in Cybernetics (full time) to the University – see
http://www.reading.ac.uk/Study/apply/pg-applicationform.aspx . In the
section ‘Research proposal’, please upload or copy-paste your covering
letter. When prompted as part of your online application, you should
provide details of the funding you are applying for, quoting the
reference GS14-68.
Once you have submitted your application, you should receive an email to
confirm receipt of your online application. Please forward this email,
along with your covering letter and CV (as pdf), to Dr. Etienne B.
Roesch, e.b.roesch(a)reading.ac.uk, by the application deadline.
Application Deadline: Monday 14th July 2014 (interviews in August)
Further Enquiries: Please contact Dr. Etienne B. Roesch,
e.b.roesch(a)reading.ac.uk.
–––
Dr. Etienne B. Roesch
Lecturer (Assistant Professor) in Cognitive Science
University of Reading, UK
http://doodle.com/MeetWithEtienne
Too brief of an email? Here's why! http://emailcharter.org
_______________________________________________
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
**
**
**Postdoctoral Fellowship at Duke-National University of Singapore*
Multimodal Neuroimaging in Neuropsychiatric Disorders Laboratory, Center
for Cognitive Neuroscience at Duke-NUS Graduate Medical School, National
University of Singapore is looking for postdoctoral fellow in cognitive
neuroscience and/or multimodal neuroimaging. *
*
Our groupstudies the human neural bases of social-emotion, cognition,
and memory functions and the associated vulnerability patterns in
neuropsychiatric disorders, including neurodegenerative diseases
(focusing on AD, FTD and preclinical stages) and Schizophrenia.
Multimodal neuroimaging and psychophysical techniques are employed,
including magnetic resonance imaging (MRI), functional MRI, diffusion
tensor imaging, and electroencephalography (EEG). We are interested in
examining the network-level structural and functional brain connectivity
to shed light on the neurobiological mechanism of disease, paving the
way for early detection and intervention.
Candidates must have a passionate enthusiasm for research, a strong
background in one of the following fields: cognitive neuroscience,
neuropsychiatric disorders, neuroimaging analyses,
mathematics/statistics/machine learning or related-fields. He/She should
also possess the ability to take the initiative, work independently and
be motivated to work in a highly collaborative and international
research environment, and be able to demonstrate creativity, technical
independence and excellent communication skills. Strong interest in
studying social-emotion/cognition/memory functions and/or applications
of multimodal neuroimaging in neuropsychiatric disorders is preferred.
Proven skills in fMRI/EEG/DTI data analyses is a plus but not necessary.
Key attractions are access to a 3T Tim Trio MR scanner and a MR
compatible digital EEG system as well as collaboration opportunities
with an excellent network of domestic and international scientists and
doctors. The position will be two years with possible extension.
Competitive package will be provided based on experience.
Interested applicants are welcome to email Assistant Prof. Helen Juan
Zhou at _helen.zhou(a)duke-nus.edu.sg
<mailto:helen.zhou@duke-nus.edu.sg>_with application letter, curriculum
vitae, three references, and contact information. Website:
_https://sites.google.com/site/mneuroimaginglab/_;
http://www.duke-nus.edu.sg/content/zhou-juan-helen
Â
*
Ph.D. position at the University of Tübingen, Germany in the EU-ITN project:
*Central effects of gut microbiota manipulation*
JOB DESCRIPTION
We invite applications for a three‐year Early Stage Researcher (Ph.D.
student) position being part of the Marie Curie Initial Training Network
NeuroGut (www.neurogut.eu). A strong interest and background in
neurosciences is wanted.
In animal models as well as in humans, the gut microbiota has been shown
to modulate central functions, e.g. the ingestion behavior and response
to stress. This has so far been shown to be associated with obesity and
other eating disorders but not yet for gut functions and functional
gastrointestinal disorders. Whether application of prebiotics and
probiotics of different bacterial strains will affect central processing
of gut and central (neurocognitive) stimuli is unknown but aim of the
current project.
The candidate will learn one or more of the current state‐of‐the‐art
brain recording techniques (preferentially magnetoencephalography) at
the respective neuroimaging facilities at Tübingen University Medical
Faculty, first by being involved in ongoing studies while preparing
his/her own project. He/she will conduct a first study in healthy
volunteers investigating the peripheral (microbiota) and central
(sensory and neurocognitive) changes after acute and chronic intake of a
probiotic (either as food or as drug). This will eventually be followed
by a similar study in patients with either functional bowel disorders
(such as the irritable bowel syndrome, IBS) or with psychiatric or
neurologic dysfunctions.
Highly competitive salary as well as funds to participate in training
activities of the NeuroGut network as well as in international
conferences will be provided. The candidate will also enrol in the PhD
program of the Graduate Training Center of Neuroscience at Eberhard
Karls University Tübingen (http://www.neuroschool‐tuebingen.de) for
lectures, seminars, and other learning activities. Please send CV and
application letter to Prof. Paul Enck at (paul.enck(a)xn--unituebingen-i09f.de).
Application deadline for this position is June 30th, 2014. A decision
will be communicated before July 31st, 2014. Further information on the
European NeuroGut Initial Training Network can be found at [www.neurogut.eu]
ORGANISATION / INSTITUTE CONTACT DATA
University Hospital Tübingen, Germany
Department of Internal Medicine VI: Psychosomatic Medicine and Psychotherapy
‐ Research Laboratories ‐ Director of Research: Prof. Dr. Paul Enck
Frondsbergstr. 23, 72076 Tübingen, Germany
E‐MAIL: paul.enck(a)xn--unituebingen-i09f.de
PHONE office: +49 7071 29‐89118; cell: +49 179 4986459, FAX: +49 7071
29‐4382
WEBSITE: http://www.psychosomatik‐tuebingen.de/de/index.php
ENVISAGED JOB STARTING DATE: September 1st, 2014 or later
DEGREE: Master degree or equivalent in medical sciences, biological
sciences, psychology or similar with an emphasis on neurosciences
IMPROTANT: Candidates must not have resided or carried out their main
activity in Germany for more than 12 months in the 3 years immediately
prior to their recruitment. The candidate should not possess a Ph.D. and
should have less than 4 years of research experience after graduation
with a degree allowing to start a Ph.D. thesis.
--
Prof. Christoph Braun
MEG-Center
University of Tübingen
Otfried-Müller-Str. 47
72076 Tübingen
Germany
Tel: +49 (0)7071 29 87705
Fax: +49 (0)7071 29 5706
Email:christoph.braun@uni-tuebingen.de
PhD position - Fear, Anxiety & Stress
Department of Systems Neuroscience, Hamburg
A DFG-funded PhD position (up to 3 yrs, subject to final release of
funds) is available at the Department of Systems Neuroscience /
University Medical Center Hamburg-Eppendorf in Hamburg, Germany.
Starting date is as soon as possible, at the latest during autumn 2014.
The fear, anxiety and stress group is looking for a PhD candidate to
work on projects on return of fear using fMRI and psychophysiological
measures.
The research group integrated in the Collaborative Research Center (SFB
TRR 58 “Fear, Anxiety, Anxiety Disorders”) which brings together human,
rodent and molecular researchers on fear, anxiety and anxiety disorders
from three German universities (Hamburg, Münster, Würzburg). More
information about the group can be found here
http://www.uke.de/institute/systemische-neurowissenschaften/index_90307.php.
The successful candidate will primarily be responsible for collecting
and analyzing fMRI and behavioral data, writing scientific papers and
giving scientific presentations.
The ideal candidate should have a Diploma/Master in psychology,
neuroscience, or a related field. Experience with programming skills
(e.g. Matlab, Presentation), statistical analysis software (e.g. SPSS,
R) and acquisition and analysis of fMRI (e.g. SPM) and
psychophysiological measures are highly desired but not mandatory.
Strong interests in the field of neuroimaging and (experimental)
fear/anxiety research are valuable.
The Department of Systems Neuroscience (head: Prof. Christian Büchel)
provides an excellent multi-disciplinary and highly interactive
neuroimaging environment with its own physics, psychology and clinical
neuroscience groups as well as a research dedicated 3T MR scanner, EEG-,
psychophysiology and eye-tracking laboratories. The institute hosts an
international graduate school that offers a comprehensive program
covering all areas of neuroscience and provides PhD students with an
excellent research environment.
For questions about the project please contact Dr. Tina Lonsdorf (see
below).
Candidates should submit a CV, diploma/masters degree, names and contact
information of 1-2 references and a brief statement of research interest
by e-mail to Dr. Tina Lonsdorf (t.lonsdorf(a)uke.de). Applications will be
considered until the position is filled.
best regards
Tina Lonsdorf
--
**********************************************************************
Dr. Tina B. Lonsdorf
Research group "Fear, Anxiety & Stress"
http://www.uke.de/institute/systemische-neurowissenschaften/index_90307.phphttp://sfbtrr58.uni-muenster.de/81.0.html
Institute for Systems Neuroscience
University Medical Center Hamburg-Eppendorf
20246 Hamburg
Germany
tel: +49 - 40 - 7410 55769
fax: +49 - 40 - 7410 59955
**********************************************************************
--
DANKE FÜR 125 JAHRE ENGAGEMENT UND VERTRAUEN.
www.uke.de/125
_____________________________________________________________________
Besuchen Sie uns auf: www.uke.de
_____________________________________________________________________
Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen
Rechts; Gerichtsstand: Hamburg
Vorstandsmitglieder: Prof. Dr. Christian Gerloff (Vertreter des
Vorsitzenden), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik
_____________________________________________________________________
SAVE PAPER - THINK BEFORE PRINTING
---------
The Department of Psychology, Institute of General Psychology,
Biopsychology and Methods of Psychology, Chair of Neuroimaging (Prof.
Dr. Stefan Kiebel) invites applications for a Member of academic staff /
PhD student (E 13 TV-L) with 50 % of the fulltime weekly hours. The
position will start (ideally) on 01.10.2014. The PhD position is
initially limited for 3 years. A contract extension for a fourth year is
possible. The period of employment is governed by the Fixed Term
Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG).
The main research goal is the development and experimental testing of
novel computational models of decision making. The computational models
typically employ Bayesian inference and experiments are performed using
fMRI and EEG.
The Chair of Neuroimaging has full access to all experimental facilities
at the Neuroimaging Center at the TU Dresden. The Neuroimaging Center is
equipped with a research-only MRI scanner (Siemens 3T TIM Trio),
MRI-compatible EEG and eye tracking, and a transcranial magnetic
stimulation (TMS) unit. All experimental facilities are supported by
experienced physics and IT staff. For computational work, the group has
access to the TU Dresden high-performance computing clusters.
The Chair of Neuroimaging will be newly established at the TU Dresden,
and will move from the Max Planck Institute in Leipzig
(http://www.cbs.mpg.de/depts/n-3/dyn/@@index.html) to Dresden.
Tasks: The PhD student will work on a series of projects in the area of
decision making using computational modelling of behavioural and
neuroscientific data.
Requirements: The candidate should have either (i) a university degree
in psychology or cognitive neuroscience and a strong interest in
computational modeling, or (ii) a university degree in mathematics,
computational neuroscience, physics, or similar with a strong interest
in performing neuroimaging experiments for testing computational models.
The position is ideal for candidates interested in research at the
interface between computational modeling and experimental neuroimaging.
For questions or an informal discussion about this position please
contact Prof. Stefan Kiebel (stefan.kiebel(a)tu-dresden.de).
Applications from women are particularly welcome. The same applies to
people with disabilities.
Applicants should send their application documents (cover letter
including a brief description of personal qualifications and future
research interests, CV and contact details of two personal references)
until 07.07.2014 (stamped arrival date of the university central mail
service applies) - preferentially via e-mail as a single PDF-file - to
julia.herdin(a)tudresden.de (Please note: We are currently not able to
receive electronically signed and encrypted data.) or to TU Dresden,
Fakultät Mathematik und Naturwissenschaften, Fachrichtung Psychologie,
Institut für Allgemeine Psychologie, Biopsychologie und Methoden der
Psychologie, Professur für Neuroimaging, Herrn Prof. Dr. Stefan Kiebel,
01062 Dresden.
--
Stefan Kiebel, Ph.D.
Professor of Neuroimaging
Dept of Psychology
Technical University Dresden, Germany
Max Planck Institute for
Human Cognitive and Brain Sciences
Leipzig, Germany
http://www.cbs.mpg.de/~kiebel
*Post-Doctoral Position in neuroimaging of mild TBI*
*Advanced Neuroscience Imaging Research Lab, Wake Forest University,
Winston-Salem, NC*
An NIH-funded post-doctoral position is available for a highly motivated
scientist for research in sports concussion and brain imaging methods
including functional MRI, diffusion tensor imaging, ASL, voxel-based
morphometery, and magneto-encephalography. The position is in the
Advanced Neuroscience Imaging Research Lab at the Wake Forest University
School of Medicine. The research project involves studying sports
related sub-concussive impacts using biomechanical measures, cognitive
testing, and multimodal imaging data. The candidate will have
opportunities to develop skills in imaging techniques, experimental
design, data analyses, and cognitive/sensory neuroscience.
Candidates should have strong analytical and computer skills including
familiarity with Unix, Matlab, SPM and/or FSL. This post will involve
working with other collaborative members of the project (including
imaging scientists, cognitive neuroscientists, biostatisticians, and
biomechanical engineers), and developing and applying brain image
analysis software tools.
Applicants should have a Ph.D., M.D., or equivalent in any of the
following areas: neuroscience, neuroimaging, biomedical engineering,
machine-learning, network science, cognitive neuroscience,
sports-related physiology, or MR-related disciplines. Previous
experience in functional brain imaging, statistical signal processing or
cognitive/systems neuroscience is preferred.
Link to online
application:http://www.wakehealth.edu/HR/Jobs-Search-Results.htm?st=6552&ca…
Interested applicants may also send their curriculum vitae to:
Joseph Maldjian, MD
Department of Radiology
Wake Forest University School of Medicine
Winston-Salem, NC 27157
maldjian(a)wakehealth.edu <mailto:maldjian@wakehealth.edu>
www.ansir.wfubmc.edu <http://www.ansir.wfubmc.edu>
University of Miami, College of Arts & Sciences, Department of
Psychology Post-doctoral Associate position.
The Bridging Research on Anxiety, Innovations, and Neuroscience (BRAIN)
Group in the Department of Psychology seeks a full-time post-doctoral
fellow to join their neuroimaging research team. The start date is
flexible, although Summer/Fall 2014 is preferred. Individuals interested
in understanding the neural correlates of anxiety disorders are
particularly encouraged to apply. Research focuses on functional
neuroimaging and translational approaches to the study of fear/safety
learning and attention using a developmental perspective. Additional
information can be found at http://www.psy.miami.edu/brain/.
Successful applicants should have completed a Ph.D. in psychology,
neuroscience, or a related field. Candidates should also have a strong
publication record including neuroimaging studies and substantial
experience with data analysis (e.g., AFNI, SPM, statistical analysis
(e.g., SPSS) and computer programming (e.g., Eprime, Matlab).
Applicants must submit an application through the University of Miami
Careers website and send a cover letter describing research interests
and career goals, CV and 3 letters of reference to Jennifer Britton,
Ph.D. (j.britton(a)miami.edu). Applications will be considered on a
rolling basis until the position is filled. Position# 049558
The University of Miami offers competitive salaries and a comprehensive
benefits package including medical and dental benefits, tuition
remission, vacation, paid holidays and much more. The University of
Miami is an Equal Opportunity/Affirmative Action Employer.
Link to Application:
http://um.hodesiq.com/job_detail.asp?JobID=4489062&user_id=&ViewAll=
Dear Users
This Thursday (starting 4 pm in B020, Department of Psychology) Dr. Mark
Woolrich from the Oxford Centre for Human Brain Activity will give a
talk on "Fast transient networks in spontaneous brain activity".
Abstract:
In recent years interest has grown in the study of networks of
functionally specific brain regions, principally through the use of
functional MRI on the resting brain. Resting state brain networks have
also been independently identified in magentoencephalography (MEG) data
by looking at correlations in the power of oscillations in specific
frequency bands [Brookes et al., PNAS, 2011]. However, the mechanisms
and dynamics underlying resting-state brain activity remain under
debate. In this talk I will present a two-pronged approach to
investigating spontaneous brain activity using MEG. First, the use of a
novel hidden Markov model approach to identify resting state brain
networks that switch on the order of 100ms, much faster than has
previously been reported. Second, the use of computational network
models, based on anatomical white matter connectivity, that can simulate
functional connectivity characteristics similar to those seen in real
MEG data.
Everyone is welcome to attend and refreshments will be served in the C
block reception afterwards.
We will be taking Mark out for dinner after his talk. Please let me know
if you would like to join us.
Best wishes
Rebecca
--
************************************************************************
Dr. Rebecca E. Millman
Science Liaison Officer
York Neuroimaging Centre
The Biocentre
York Science Park
Heslington
YO10 5DG
Tel: +44 (0) 1904 567614
Fax: +44 (0) 1904 435356
