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
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
*ECML Workshop - “Neural Connectomics: From Imaging to Connectivity”
September 15, 2014 - Nancy, France*
*Paper submission deadline: June 20, 2014*
Description:
Understanding the brain structure and some of its alterations caused by
disease, is key to accompany research on the treatment of epilepsy and
Alzheimer’s disease and other neuropathologies, as well as gaining
understanding of the general functioning of the brain and its learning
capabilities. At the neural level, recovering the exact wiring of the
brain (connectome) including nearly 100 billion neurons, having on
average 7000 synaptic connections to other neurons, is a daunting task.
The goal of this workshop is to bring together researchers in machine
learning and neuroscience to discuss progress and remaining challenges
in this exciting and rapidly evolving field. We aim to attract machine
learning and computer vision specialists interested in learning about a
new problem, as well as computational neuroscientists who may be
interested in modeling connectivity data. We will discuss also the
results of the First ChaLearn Neural Connectomics Challenge.
Topics of interest to the workshop include, but are not limited to:
•building connectomes from EM data
•building connectomes from fMRI data
•building connectomes from neurophysiology data
•bridging neuroanatomy and neurophysiology
•connectomics and learning
•neuroimaging technology advances
•network reconstruction algorithms
•causality in time series
•feature selection vs. causal discovery
•generative vs. discriminative modeling
•sharing data
•sharing code
•organizing new challenges
•establishing ground truth, benchmarking
•quantitative metrics of evaluation
•theoretical understanding
Important dates:
oPaper submission: June 20, 2014
oNotification of acceptance: July 05, 2014
oCamera-ready: July 25, 2014
oECML Workshop: September 15, 2014
Important - Submission Guidelines:
We encourage contributions in any of these areas. We welcome 2-page
short-form submissions and 6-page long-form submissions. Submissions
should be formatted using JMLR Workshop and Proceedings format, style
files for which are available at:
http://www.tex.ac.uk/tex-archive/help/Catalogue/entries/jmlr.html. We
also encourage submissions of previously-published material that is
closely related to the workshop topic (for presentation only).
Everybody can attend the workshop even if he does not participate in the
challenge (http://connectomics.chalearn.org/). Challenge participants
are encouraged to contribute a paper on their results and also submit
papers for presentation on the topics of the workshop.
The papers have to be submitted via Easy Chair:
https://www.easychair.org/conferences/?conf=ncw2014
Please let me bring to your attention the Lectureship Position
available in Reading described below. I will be at the Human Brain
Mapping Conference next week - please email me if you'd like to
arrange an informal chat about the position.
Tom Johnstone
Professor of Cognitive Neuroscience
Job Ref: LE14020 *Application Deadline: 30th June 2014*
Salary: £31,301 to £58,231 per annum
Hours: Full Time Contract: Permanent
The Department of Psychology at the University of Reading is seeking
to appoint an outstanding lecturer (UK equiv. to Assistant Professor)
to further strengthen the Department's academic profile and to support
its ambitious expansion plans. The School hosts the Centre for
Integrative Neuroscience and Neurodynamics (CINN) brain imaging
facility, with research dedicated MRI, EEG, TMS and eye-tracking
systems. The School also houses an NHS child and adolescent mental
health clinic and a recently opened NHS clinic for research and
treatment of dementia.
Applications are welcomed from researchers that build on existing
strengths, with preference given to clinical psychology/neuroscience.
You will have high quality publications and the talent and aptitude to
succeed in an interdisciplinary and highly collegiate environment.
Evidence of writing and gaining external grant awards is an advantage.
Start up costs and dedicated access to facilities such as the MRI
scanner are by negotiation.
You will have:
- A doctorate in Psychology or a closely related area
- The ability to undertake original research, with a strong
recent publication track record
- The ability to teach at undergraduate and postgraduate levels
in at least one core area of psychology
- A commitment to excellence in teaching and research at all levels
- An ability to work well with students and colleagues, and be
respectful and considerate of the skills of others
Informal contact details
Contact role: Head of School
Contact name: Laurie Butler
Contact phone: +44 (0)118 378 7543
Contact email: l.t.butler(a)reading.ac.uk
Alternative informal contact details
Contact role: Head of Department
Contact name: Patricia Riddell
Contact phone: +44 (0)118 378 6699
Contact email: p.m.riddell(a)reading.ac.uk
To formally apply please visit www.reading.ac.uk/Jobs or contact Human
Resources, University of Reading, Whiteknights, PO Box 217, Reading
RG6 6AH. Telephone +44(0)118 378 6771 (voicemail)
Please quote the relevant reference number.
We value a diverse workforce and welcome applications from all
sections of the community.
A part-time position as a doctoral student or scientific assistant is
available at the Department of Psychiatry and Psychotherapy III of the
University of Ulm in the field of genetic imaging (3 years). The focus
is on the genetics of perfusion imaging and imaging endophenotypes of
affective disorders. Candidates will be considered until the position
is filled.
The successful candidate will work in a team forming an international
consortium including the BfArM (the German FDA) and the DZNE in Bonn,
and partners in Sweden and Canada, funded by the NEURON-Eranet agency.
The Department of Psychiatry and Psychotherapy III hosts a
cognitive-behavioural Training Institute on its premises. This opening
might be of interest to a young psychologist with some experience of
neuroimaging and wishing to initiate clinical training in the German
system, since there are excellent opportunities to combine the two
activities.
I will be in Hamburg at the Human Brain Mapping conference, and
interested candidates are very welcome to contact me for an informal
chat.
Roberto Viviani, PhD
Assistant Professor of Clinical Psychology
Dear all,
Just a reminder about the MEG/EEG meeting today. Andrew Quinn will talk about:
'State Dynamics In Endogenous Brain Networks'.
The meeting will take place at 12pm in B204.
Best,
Markus
--
Markus J. van Ackeren
PhD Student
Department of Psychology
University of York
YO10 5DD, UK
Email: mjva500(a)york.ac.uk
Dear Users
I'm afraid Gary Green is unwell today. Therefore Gary's talk, which was
scheduled for this afternoon, will have to be postponed.
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
We have received this. Not neuroimaging but might be of interest
==========
Have you recently completed or expect very soon an MSc or equivalent
degree in computer science, artificial intelligence, computational
linguistics, engineering or a closely related area? Are you interested
in carrying out research on NLP during the next years? Are you excited
to spend a part of your life in a pleasant city in the heart of the
Italian Alps?
WE ARE LOOKING FOR YOU!!!
The Human Language Technology (HLT) group at Fondazione Bruno Kessler
(Trento, Italy) in conjunction with the the ICT International Doctorate
School of the University of Trento <http://ict.unitn.it/>is pleased to
announce the availability of three fully-funded 3-year PhDpositions in
the following NLP topics:
*
Machine Translation: Human in the loop for advanced machine
translation
<http://hlt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2014>
*
Automatic Speech Recognition: Acoustic Modeling for Speech
Recognition
<http://hlt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2014>
*
Content Processing: Building the Web of Data exploiting Natural
Language Processing
<http://hlt.fbk.eu/open-positions/PhD_Fellowships_to_start_in_2014>
Job Description
The first year is mainly devoted to the acquisition of scientific
knowledge at both basic and high level. During the second year the PhD
candidate will deepen his/her scientific knowledge and starts to
establish his/her thesis work, identifying the objectives and research
activities to be developed within the thesis. During the third year, the
PhD candidate will focus on his/her personal contribution to the
state-of-the-art on the chosen research problem and/or to the
development of the proposed technological innovation. The research
activity of the PhD candidate will be closely related to EU projects.
This will allow the PhD candidate to develop collaborations with other
researchers participating in these research projects and it may also
allow him/her to spend part of his research activity at partner
laboratories. Possibility of internships in academia and industry. The
PhD candidates have to pass the selection of the ICT Doctorate
School to be enrolled as PhD students. The starting date of PhD
program flexible after September, 2014.
Profile
The applicant must have recently completed or expect very soon an MSc or
equivalent degree in computer science, artificial intelligence,
computational linguistics, engineering or a closely related area. In
addition, the applicant should
*
have strong curiosity to solve problems in natural language processing
*
have a strong background in statistics, probability theory and
machine learning
*
have excellent programming skills in at least one of the following
languages: C, C++, or Java
*
enjoy working with real-world problems and large data sets
*
Good knowledge of written and spoken English
*
enjoy working in a closely collaborating team
Working Environment
The doctoral student will be employed at the HLT group, a unit for
research in natural language processing at the Fondazione Bruno Kessler,
Trento, Italy. The group has a long tradition in research on machine
translation, automatic speech recognition and content processing.
Currently, the HLT groups is involved in several European projects such
as Matecat, Eu-Bridge and Excitement. Former students are nowadays
employed in leader IT companies in the world.
Important Dates
The opening of the call is expected at the beginning of May 2014.
Potential candidates are strongly invited to contact us in advance for
preliminary interviews. There is also the possibility to begin with an
internships at our group during the Summer before the official PhD
program starts, sport facilities.
Benefits
Fondazione Bruno Kessler offers an attractive benefits package,
including a flexible work week, full reimbursement for conferences and
summer schools, competitive salary, an excellent team of supervisors and
mentors, help for housing (and partial reimbursement), full health
insurance, possibility of Italian courses, sporting facilities.
Further Information
For further information about the position, please contact: Dr. Claudio
Giuliano (giuliano(a)fbk.eu <mailto:giuliano@fbk.eu>).
The Faculty of Psychology, Higher School of Economics (HSE, Moscow) is
pleased to announce a number of post-doctoral and PhD student positions
at the new research group for Cognitive Control, Communication and
Perception, which is currently being established at HSE, Center for
Neuroeconomics and Cognitive Studies. This new international group will
operate in collaboration with the Centre of Functionally Integrative
Neuroscience at Aarhus University (Denmark), Psychology Department at
Northumbria University Newcastle (UK), and other international
collaborators. Our key international coordinators are Professor Yury
Shtyrov (Aarhus) and Dr Andriy Myachykov (Northumbria). The postholders
will have an advantage of being able to further define and expand the
newly established research program. Potential topics include (but are
not limited to): neural dynamics of language comprehension, automaticity
and top-down control in communication, sensory-motor integration in
cognitive functions, embodied cognition, interactions between
domain-specific and domain-general cognitive systems, neurocognitive
bases of language acquisition, studies of communication deficits (e.g.
aphasia) etc.
Research facilities include multi-channel EEG, navigated TMS-EEG and
eye- tracking equipment, all recently installed at the Faculty, as well
as local access to MEG, fMRI and a range of neurological populations.
The HSE is a young, dynamic, fast-growing Russian research university
providing unique research opportunities
(http://hse.ru/en,http://psy.hse.ru/en/
<http://hse.ru/en,http:/psy.hse.ru/en/>). The Faculty of Psychology is
committed to developing various areas of modern experimental psychology
and, most crucially, Cognitive Neuroscience. Working conditions:
- Access to multimodal neuroimaging facilities (brain-navigated TMS,
multichanel EGG, MEG, eye-tracking, etc. http://psy.hse.ru/en/res-center)
- Internationally competitive salary, 13% flat income tax rate and other
benefits
- Generous travel support and research grants provided by the
University’s Centre for Advanced Studies (www.cas.hse.ru
<http://www.cas.hse.ru/>)
- Low teaching load, minimal administrative service required
- Heavy emphasis on high quality research
Requirements for the PostDoc position: position
- Ph.D. in psychology, cognitive neuroscience, language sciences or
related fields
- Fluent English (knowledge of Russian is not required)
- Demonstrated ability and high motivation to conduct high-quality
research publishable in quality international peer-reviewed journals
Requirements for the PhD student position:
-MS degree in psychology, cognitive neuroscience, language sciences or
related fields
- Fluent English (knowledge of Russian is not required)
- Demonstrated ability and high motivation to conduct high-quality
research publishable in quality international peer-reviewed journals
Generally appointments will be made for an initial 2,5-year period and
upon successful completion of an interim review, contracts would
normally be extended for a further three years until the tenure review.
Please provide a CV, at least 2 letters of reference forwarded directly,
a statement of research interest and a recent research paper. All
materials should be addressed to Dr. Viсtoria Moiseeva, no later than
June 20.
If you have any further questions, please contact Dr. Viсtoria Moiseeva
vmoiseeva(a)hse.ru <mailto:moiseeva.victoria@gmail.com>
Best wishes,
Olga
Ph.D. Researcher
Institute of Higher Nervous Activity
and Neurophysiology RAS
+79268365593
*Job offer*
The *Max Planck Institute for Human Cognitive and Brain Sciences*
*Leipzig *and the *Collaborative Research Center****(CRC) 1052* "Obesity
mechanisms" at the *Leipzig University Hospital* are offering a *PhD
studentship**in computational modelling*. Within the project,
computational modelling is used to investigate leaning and
decision-making in humans. The project is aimed at the multi-modal
integration of available and newly acquired genetic, behavioral and
structural/functional magnetic resonance imaging (MRI) data towards
comprehensive computational and neurocognitive models of cognitive
control over behavior.
Work will be carried out at the Max Planck Institute for Human Cognitive
and Brain Sciences Leipzig under the supervision of Dr Jane Neumann and
Dr Annette Horstmann. Both Leipzig‘s long tradition in conducting
neuroscientific research and the ultra-modern equipment at the Max
Planck Institute provide an environment that offers new perspectives in
neuroimaging research. Further, the position will be part of the CRCs
Integrated Research Training Group. This graduate program offers
interdisciplinary qualification in various research methods and
transferable skills, and provides support in career planning and in
establishing an own scientific network.
Applicants should hold a Master's degree (or equivalent) in one of the
following disciplines: computational or cognitive neuroscience, computer
science, mathematics, physics, cognitive science or related. Prior
experience in the field of computational neuroscience and/or
neuroimaging are of great advantage. Sound knowledge of statistics and
excellent programming skills are essential. A good command of written
and spoken English is requested of all applicants.
Please send your application as a single pdf-file to
_neumann(a)cbs.mpg.de_ referring to 'Modelling SFB 1052'. Complete
applications include cover letter, CV, letter(s) of recommendation, and
copies of university degrees and additional certificates.
Informal enquiries should be made to Dr Jane Neumann
(_neumann(a)cbs.mpg.de_, +49 (0) 341 99 40 26 21). Note that Dr. Neumann
and Dr. Horstmann will be available
for meeting at*OHBM 2014* in Hamburg.
The salary is based on the German E 13 TV-L salary scale. In order to
increase the proportion of female staff members, applications from
female scientists are particularly encouraged. Disabled applicants are
preferred if qualification is equal.
Deadline for application: until position is filled