*Postdoctoral Researcher in Cognitive & Economic Psychology*
The Center for Economic Psychology at the Department of Psychology of
the University of
Basel, Switzerland, is seeking applicants for a post-doctoral researcher
for a period of 2 years
with the possibility to extend the position for further years. The ideal
candidate would have a
Ph.D. in psychology, cognitive science, computer science, neuroscience
or a related field, solid
knowledge in cognitive psychology and research methods and an interest
in applying these skills
to understand the cognitive processes underlying human decision making.
Experience with
cognitive modelling (using Matlab or R) or imaging techniques (e.g.
fMRI, EEG) is desirable.
Applicants will be part of an international research group and an
English-speaking environment.
The required teaching may be conducted in German or English. The salary
will be very
competitive and additional resources for funding experiments and
conference travel are available.
Please submit applications (consisting of a cover letter describing
research interests, curriculum
vitae, up to five reprints, and 2 letters of recommendation) to
*secretary-ep(a)unibas.ch*. Review of
applications will start Mai 15th 2015 and will continue until the
position is filled. The position
can begin in September 2015, but later start dates are possible.
The Center for Economic Psychology is directed by Prof. Dr. Jörg
Rieskamp. The lab is part of
the growing Department of Psychology at the University of Basel, one of
the leading research
Universities in Europe. Basel is situated at the river Rhine right at
the border to France and
Germany. It’s a great place to live and work. Health care, quality of
life, and public transportation
meet the highest international standards. Please do not hesitate to send
us an email for further
inquiries. We are looking forward to your application!
Prof. Dr. Jörg Rieskamp
Center for Economic Psychology, Department of Psychology, University of
Basel
Missionsstrasse 62A, 4055 Basel, Switzerland
E-mail: joerg.rieskamp(a)unibas.ch
Please find attached an advert for a PhD studentship in developmental
Cognitive Neuroscience at Birkbeck, London.
The project includes analysis of functional connectivity patterns in
infant brain activity.
The Clinical Neuroscience & Development Laboratory at the Olin
Neuropsychiatry Research Center (www.nrc-iol.org/onrc_labs_cnd.asp) is
seeking to 1 or 2 postdoctoral research positions to work on a new
NIMH-funded project that will use functional magnetic resonance imaging
(fMRI) to examine the architecture of neural networks engaged for
emotion regulation in typically-developing and depressed adolescents.
The postdocs will join a lab whose focus is to study developmental
changes in brain structure/function across early adolescence to young
adulthood and examine neural network function abnormalities in various
early-life psychiatric disorders, including depression, AD/HD, and
others. This is a good opportunity for an applicant who has experience
in either clinical psychology or computational neuroscience, who has
particular interests in developing a career using functional
neuroimaging research. Specific postdoctoral duties would vary
depending on skills and career development interests, ranging from
gaining in depth experience with either the clinical aspects of the
project (patient interviewing, clinical data collection, protocol
management, and supervision of trained clinical research staff), fMRI
data analysis skills (SPM, FSL and functional connectivity analyses of
fMRI and structural brain datasets), or both. Applicants should have a
Ph.D. in Psychology, Neuroscience, or closely related field, solid
understanding of statistical methods and experimental design, and
promising clinical research experience. The ideal candidate will come
from a doctoral program that has provided a strong theoretical
foundation in affective and/or cognitive neuroscience, familiarity or
proficiency with fMRI methods, and competitive skills in either the
clinical or analytic domains. While data is being collected on this new
project, the postdoc also will have access to several large, un-examined
archival neuroimaging datasets with an expectation to work on studies
consistent with those projects’ objectives. Training will be provided
in sophisticated data analysis techniques (i.e., independent component
analysis, multi-modal analysis, etc.), and access to the Olin Center’s
extensive data collection and analysis resources (e.g., fMRI, sMRI, DTI,
EEG, genotyping, neuropsychological assessment). The Olin NRC is a
well-established clinical neuroscience center affiliated with Yale
University with over 50 faculty, postdocs and research assistants. Our
mission is to conduct cutting-edge clinical and cognitive neuroscience
research into the causes and treatment of psychiatric disorders. The
Olin Center is located on the grounds of The Institute of Living /
Hartford Hospital, providing access to thousands of psychiatric patients
each year treated in numerous clinical programs. If interested, please
send a statement of scientific interests, accomplishments and relevant
skills, a CV, and contact information for at least 3 academic references
including letters of recommendation if already available to Dr. Michael
C. Stevens (Michael.Stevens(a)hhchealth.org), CNDLAB Director, Olin NRC,
200 Retreat Avenue, Hartford, CT 06106.
PhD Candidate: Organizing Principles of the Motor System
The motor system of the human brain not only controls our movements, but
also plays a fundamental role in many aspects of our cognition.
Surprisingly, how this system is organized largely remains a mystery.
Traditional models suggest an organization according to effectors (arm,
leg, fingers), but recent models suggest a more ecologically valid
organization scheme based on clustering by movement categories (e.g.
reaching to grasp something, climbing, etc). In this project we aim to
solve this controversy by using a variety of brain imaging methods to
investigate the anatomy and function of the primate motor system.
You will conduct MRI-based investigations of the anatomical organization
of the human and non-human parietal and premotor cortex. This work
involves, among others, comparative diffusion MRI tractography work and
has a strong computational focus. In addition, you will use non-invasive
brain stimulation methods to investigate the functional interactions
between areas of the extended motor system during grasping behaviour in
humans.
The project will be embedded in one of the research programmes of the
Donders Institute for Brain, Cognition and Behaviour at the Radboud
University in Nijmegen (Netherlands). You will be supervised by Dr
Rogier Mars and Prof Pieter Medendorp.
You will be based at Donders Institute, but you will also make research
visits to our collaborators at the University of Oxford.
For more information, including how to apply, please refer
to:http://www.ru.nl/overons/werken-radboud/details-0/details_vacature_0/?recid=551239
Dear Users
There will not be a YNiC seminar this week.
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
The Computational Psychiatry Unit (www.neurocpu.com
<http://www.neurocpu.com>) at The University of Texas at Dallas and The
Southwestern Medical Center invites applications for multiple research
positions. This is an exciting opportunity to work in the emerging
interdisciplinary field of computational psychiatry, which seeks to
redefine mental disorders in terms of aberrant computations at multiple
scales, and to improve mental health by applying modern neuroscientific
techniques and discoveries.
Access to state of the art facilities including: multiple
research-dedicated 1.5T MRI systems, two research-dedicated human 3T MRI
systems, one human 7T MRI system, two PET systems
(with coregistering MRI), a SPECT camera, a high field system for animal
studies, four EEG systems equipped for both 64 and 128 channel
recordings, TMS, rTMS, tDCS, and HD tDCS equipment.
*
*
*Positions 1: Research Coordinator in Computational Psychiatry*
The successful candidate will participate in all aspects of research in
the lab, including: acquisition of behavioral and neural data, preparing
consent forms and paperwork related to research ethics, assembling and
administering neuropsychological assessments, screening and recruiting
participants, obtaining informed consent, scheduling participants for
testing, tracking progress of the study and data collection, verifying
data and entering pertinent information into database for statistical
analysis, conducting statistical analyses, and assisting with manuscript
preparation.
*
*
*Qualifications: *BS/BA degree in any area of psychology, neuroscience,
biomedical sciences, or related fields is required. Master’s degree in
any of these fields and/or clinical experience is preferred. Experience
with any of the following would be an added advantage:
neuropsychological assessment, psychopharmacology, psychophysiology,
brain imaging data analysis, MATLAB, R, python, C++, and signal
processing. The candidate must have strong organizational and
interpersonal skills; the ability to work well with clinical
populations; a willingness to tackle complex tasks in an independent
manner; and a strong work ethic.
*
*
*How to Apply: *Please email a CV, a one-page statement of research
interests and career goals in a single PDF document titled with
RA_YourName.pdf to Dr. Xiaosi Gu at xgu2008(a)gmail.com
<mailto:xgu2008@gmail.com>.
*
*
**
*Position 2: Data Analyst in Computational Psychiatry*
The successful candidate should have a deep understanding of
computational modelling and programming (e.g. MATLAB, R, python, C++).
Additional experience would be useful but not required in computational
biology, genomics, or multi-modality neuroimaging platforms (fMRI,
electrophysiology, PET, transcranial magnetic stimulation, tDCS, MR
spectroscopy, DTI, etc.). The research may be applied to elucidate the
neural and computational mechanisms of cognition and decision-making in
both healthy volunteers and in brain injuries or psychiatric diseases
such as Addiction, Autism, Mood Disorders, and Schizophrenia.
*
*
*Qualifications*: Master’s degree in a quantitative fields is required;
PhD degree in a quantitative field is preferred; familiarity with data
analysis and signal processing; an ability to work well in a
multidisciplinary, highly collaborative research team; an interest in
translational research between neuroscience, computational models, and
clinical populations; and a strong record or potential for scholarly
productivity.
*
*
*How to Apply: *Please email a CV, a one-page statement of research
interests and career goals in a single PDF document titled with
Analyst_YourName.pdf to Dr. Xiaosi Gu at xgu2008(a)gmail.com
<mailto:xgu2008@gmail.com>
*
*
**
*Position 3: Postdoctoral Researcher in Computational Psychiatry*
The successful candidate should have a deep understanding of
neuroscience, cognition, and computational modelling. Additional
experience would be useful but not required in computational biology,
genomics, or multi-modality neuroimaging platforms (fMRI,
electrophysiology, PET, transcranial magnetic stimulation, tDCS, MR
spectroscopy, DTI, etc.). The research may be applied to elucidate the
neural and computational mechanisms of cognition and decision-making in
both healthy volunteers and in brain injuries or psychiatric diseases
such as Addiction, Autism, Mood Disorders, and Schizophrenia.
*
*
*Qualifications*: PhD degree in a quantitative field is required; an
ability to work well in a multidisciplinary, highly collaborative
research team; an interest in translational research between
neuroscience, computational models, and clinical populations; and a
strong record or potential for scholarly productivity.
*
*
*How to Apply: *Please email a CV, a one-page statement of research
interests and career goals in a single PDF document titled with
Postdoc_YourName.pdf to Dr. Xiaosi Gu at xgu2008(a)gmail.com
<mailto:xgu2008@gmail.com>
Benefits of the jobs include:
*Ability to be involved with established, innovative, multidisciplinary
collaborations
*Ability to work on research projects highly relevant to health outcomes
*Potential for high publication rate
*High potential for innovation in research design
*Competitive salary and benefits
*One year position, renewable for 2nd year based upon available funding,
performance, and productivity. Review of applicants will begin
immediately and will continue until the position is filled. Start date
could be as early as 1^st of August, 2015.
The University of Texas at Dallas is an Equal Opportunity / Affirmative
Action Employer. All qualified applicants will receive consideration for
employment without regard to race, color, religion, sex, national
origin, disability, age, citizenship status, Vietnam era or special
disabled veteran’s status, or sexual orientation. UT Dallas strongly
encourages applications from candidates who would enhance the diversity
of the University’s faculty and administration.
*Assistant Professor Position in Scientific Computing at the Medical
University Vienna*
http://www.meduniwien.ac.at/homepage/content/organisation/dienstleistungsei…
An Assistant Professor position is available in the Magnetic Resonance
Physics Division, Center for Medical Physics and Biomedical Engineering.
Depending on the candidates’ research record the position may be
continued as tenure track towards a permanent position after the first
two to three years.
The Medical University of Vienna offers a monthly gross salary starting
from EUR 3.546,00 in accordance with the collective bargaining agreement.
We offer an academic position at an international highly recognized
research institute in the field of biomedical imaging with strong
interdisciplinary (door to door) collaboration with clinicians. Our
research group is developing novel high field magnetic resonance imaging
methods to pave the way from pure structural to functional tissue and
metabolic imaging. This involves profound knowledge of theoretical and
experimental MRI and advanced data and image processing. In addition,
state-of-the-art parallel computing techniques and robust statistics are
required to efficiently handle the large amount of data in order to help
develop hypotheses and models.
The successful candidate has a PhD in engineering sciences, physics,
biomedical engineering or equivalent with an outstanding record in
her/his field of research. She/He has strong communication skills, which
are a pre-requisite for cooperating in a multi-disciplinary environment.
We expect a clear vision for her/his academic research career and ideas
that could stimulate new research projects or establish novel research
directions at our department.
Code: 5873/15
An der Medizinischen Universität Wien ist am Zentrum für Medizinische
Physik und Biomedizinische Technik mit der Kennzahl: 5873/15,
voraussichtlich ab 1. Mai 2015 eine Stelle mit einem
Beschäftigungsausmaß von 40 Wochenstunden mit einer Assistentin/ einem
Assistenten (postdoc) zu besetzen.
Bei Bewährung kann nach spätestens 2 Jahren eine
Qualifizierungsvereinbarung gemäß § 27 Kollektivvertrag für die
ArbeitnehmerInnen der Universitäten angeboten werden. Die Erfüllung der
Qualifizierungsvereinbarung ist mit einer unbefristeten
wissenschaftlichen Laufbahnstelle und dem Titel einer assoziierten
Professorin / eines assoziierten Professors verbunden. Ein
Rechtsanspruch auf das Anbieten einer Qualifizierungsvereinbarung bzw.
auf die Verlängerung der befristeten Position besteht nicht.
Das monatliche Mindestentgelt für diese Verwendung beträgt derzeit Euro
3.546,00 brutto (14x jährlich) und kann sich eventuell auf Basis der
kollektivvertraglichen Vorschriften durch die Anrechnung
tätigkeitsspezifischer Vorerfahrungen sowie sonstige mit den
Besonderheiten des Arbeitsplatzes verbundene Entgeltsbestandteile erhöhen.
Als eines der führenden universitären Zentren in Europa bieten wir
spezielle Nachwuchsförderung in wissenschaftlicher Forschung und Lehre
an. Das Arbeitsverhältnis endet nach Ablauf von 5
Jahren.Anstellungserfordernisse: Abgeschlossenes Studium im Bereich der
technischen Naturwissenschaften (z.B. Physik, Informatik, Statistik,
Mathematik) mit facheinschlägigem Doktorat, Qualifikation in Forschung
und Lehre.
Gewünschte Zusatzqualifikationen: Umfangreiche Kenntnisse in den
Bereichen High-Performance-Computing und Statistik zum Einsatz in
Methodenneu- und Weiterentwicklung, Publikationstätigkeit, sodass die
Bewerberin / der Bewerber sofort in den wissenschaftlich-experimentellen
Betrieb des Zentrums eingebunden werden kann. Nachgewiesene Kenntnisse
in funktioneller MR Bildgebung mit Schwerpunkt ultraschneller
Bildgebung; Expertise in zumindest einem der folgenden Gebiete: Robuste
Statistik, Parallel Computing, Datenarchivierung großer Datenmengen,
explorative Datenanalyseverfahren; Erwünscht sind Kenntnisse in
Bildverarbeitung und mehrdimensionaler Datenerstellung. Erfahrung mit
wissenschaftlichen und klinischen Kooperationen in einem
interdisziplinären Forschungsumfeld stärken die Bewerbung. Die
Medizinische Universität Wien strebt eine Erhöhung des Frauenanteils
insbesondere in Leitungsfunktionen und beim wissenschaftlichen Personal
an und fordert deshalb qualifizierte Frauen ausdrücklich zur Bewerbung
auf. Frauen werden bei gleicher Qualifikation vorrangig aufgenommen.
PhD position at the Donders Centre, Neuronal Oscillations group:
*Distractibility in Healthy and ADHD Children**
*The objective is to characterize how posterior alpha oscillations
reflect distracter inhibition in healthy subjects and ADHD patients and
identify the network involved in controlling posterior alpha activity in
attention tasks with distracters. Functional modulations in oscillatory
brain activity will be linked to structural connectivity.
To apply
http://www.ru.nl/newstaff/working_at_radboud/details/details-vacature/?taal…
All the best,
Ole
--
Prof. dr. Ole Jensen
http://www.neuosc.com
Postdoctoral studies in Magnetoencephalography (scholarship)
Karolinska Institutet, The Department of Neuroscience, Ehrsson
Research groups at the Department of Neuroscience study different
aspects of the function of the normal nervous system, as well as
disturbances, injuries and diseases affecting the nervous system.
Projects include a broad range of studies at the molecular and cellular
levels, the network level and at the level of the overall organization
of the nervous system.
The department also conducts undergraduate education in neuroscience,
anatomy and histology in a number of programs at Karolinska Institutet.
To read more about our department, please visit our webpage;
www.ki.se/en/neuro/startpage <http://www.ki.se/en/neuro/startpage>
Duties
We are seeking a highly talented and enthusiastic researcher with a PhD
in neuroimaging awarded within the past three years to work on projects
in which magnetoencephalography (MEG) is applied to the problem of how
we come to experience limbs as part of our own body.
The research will be conducted at the Brain, Body and Self Laboratory at
the Department of Neuroscience (www.ehrssonlab.se
<http://www.ehrssonlab.se>). This center has widespread expertise in
fMRI and human behavioural experiments. The MEG experiments will be
conducted at the recently established the “National Facility
Magnetoencephalography (www.natmeg.se <http://www.natmeg.se>) that is
equipped with a state-of-the-art MEG system (Electa Neuromag TRIUX),
complementary physiological recording devices (MEG compatible
128–channel EEG, plethysmography, EMG, ECG, eyetracking), and
sophisticated stimulus delivery platforms (visual, auditory, olfactory,
pain, somatosensory; including a robot system for tactile stimulation of
the hands).
The ideal candidate will have expertise in the acquisition and analysis
of MEG data, (preferably on an Elekta Triux or Vectorview system),
expertise in analysis of MEG data (preferably on FieldTrip and/or MNE),
as well as excellent programming skills (preferably including MatLab and
Neurobs Presentation). Expertise in analysis of EEG data would be an
advantage. The candidate is expected to work on projects in which MEG
methods are applied to questions relating to how multisensory signals
from the body are integrated at the levels of cortical structures to
give rise to dynamic changes in the feeling of ownership of limbs. Good
social skills are important as the candidate is expected to actively
collaborate with other members of the laboratory, in addition to running
his or her own project. Applicants should be able to demonstrate a
consistently good academic record, including publications in
international journals.
Entry requirements
Scholarships to pursue postdoctoral studies may be awarded to
individuals who come from other countries with the intention of
remaining in Sweden only while obtaining all or part of their education.
The head of the department determines whether their previous training
and scholarly qualifications correspond to a Swedish PhD or higher.
Having received a salary or other remuneration from Karolinska
Institutet during the past two years may be disqualifying.
One requirement for receiving a scholarship for postdoctoral studies is
central registration as a postdoc.
Type of scholarship
Karolinska Institutet awards scholarships to pursue postdoctoral
studies. This educational scholarship, which is paid for a maximum of
two years within four years after the receipt of a PhD or the
equivalent, is tax-exempt.
The amount is set for twelve months at a time and is paid out on a
monthly basis. In exceptional cases, shorter periods may be acceptable.
Application process
An application must contain the following documents in English:
• Curriculum vitae and qualifications, presented in accordance with
Karolinska Institutet’s qualifications portfolio
(http://ki.se/meritportfolj )
• A complete list of publications
• A summary of current research (no more than one page)
• Verifications for crediting of illness, military service, work for
labour unions or student organisations, parental leave or similar
circumstances
• Verification from the thesis defence committee or the equivalent (only
if the thesis defence is scheduled within three months after the
application deadline)
• Contact details for two reference persons
The application is to be submitted through the MyNetwork recruitment system.
Karolinska Institutet is one of the world´s leading medical
universities. Its mission is to contribute to the improvement of human
health through research and education. Karolinska Institutet accounts
for over 40 per cent of the medical academic research conducted in
Sweden and offers the country´s broadest range of education in
medicine and health sciences. Since 1901 the Nobel Assembly at
Karolinska Institutet has selected the Nobel laureates in Physiology or
Medicine.
Pursuant to the regulations of the Swedish National Archives,
applications are kept on file for two years after the appointment has
gained legal force. The regulations do not apply to attachments that
have been printed or otherwise published.
Karolinska Institutet strives to provide a workplace that has
approximately the same number of women and men, is free of
discrimination and offers equal opportunity to everyone.
For temp agencies and recruiters, and to salespersons: We politely, yet
firmly, decline direct contact with temp agencies and recruiters, as
well as those selling additional job announcements.
Type of employment:Postdoctoral studies.
Working hours:Full time
First day of employment:As soon as possible
Reference number:2-1291/2015
Contact:
• Henrik Ehrsson, professor, henrik.ehrsson(a)ki.se
<mailto:henrik.ehrsson@ki.se>
Union representative:
• Peter Århem, SACO, 46-8 524 869 03
• Anne Edgren, OFR, 08-616 16 29
• Gunnar Stenberg, SEKO, 08-524 880 75
Last application date:07.May.2015
To submit the application visit:
https://ki.mynetworkglobal.com/en/what:job/jobID:61655/
/Henrik
Henrik Ehrsson, M.D., Ph.D.
Professor
Karolinska Institutet
Department of Neuroscience
Brain, Body and Self Laboratory
Adress: Retzius väg 8, SE-17177 Stockholm, Sweden
Phone: +46-(0)852487231
Fax: +46-(0)852487126
Email: Henrik.Ehrsson(a)ki.se <mailto:Henrik.Ehrsson@ki.se>
Web: www.ehrssonlab.se <http://www.ehrssonlab.se>
