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.
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.
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
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.
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.dehttp://www.cor-lab.dehttp://www.neuroinformatik.de
_______________________________________________
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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>
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>
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., Barceló & Knight, Cereb. Cortex, 2007; Nyhus &
Barceló, 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 Barceló (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 Barceló, 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
><><><><><><><><><><><><><><
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/>
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