PhD positions are available at the Functional and Molecular Neuroimaging Laboratory, Queensland Brain Institute, University of Queensland, Brisbane, Australia. The focus of the lab is to understand the relationship between functional network and the molecular pathology in the brain. We are developing advanced in vivo imaging techniques (MRI/MRS, PET and optical imaging) to track the structural, functional and molecular changes longitudinally in transgenic mice that express specific disease-related mutations. Correlations can then be drawn between animal behaviour, neuropathology, neurotransmission and the neural network. There is currently an opportunity for highly motivated PhD students to join this collaborative project. The student will learn and refine in vivo functional imaging in rodents to understand how neurotransmission and functional connectome are disrupted in the disease progression. QBI has state-of-the-art core facilities for electrophysiology, super resolution microscopy, flow cytometry, molecular genetics, histochemistry and cognitive testing. Access is also available to an state-of-the-art imaging facility, the Centre for Advanced Imaging, equipped with 16.4T MRI, 9.4T MRI with cryoprobe, 7T MR-PET and microPET/CT for small animal imaging, and Siemens 7T, Siemens 3T Trio, PET/CT, and a cyclotron for human imaging. For more detail, please see: http://jobs.uq.edu.au/caw/en/job/497609/phd-position-in-imaging-disease-connectome For inquiry, please email to: k.chuang@uq.edu.au — Kai-Hsiang Chuang, PhD Associate Professor Queensland Brain Institute and Centre for Advanced Imaging University of Queensland, St Lucia, QLD, Australia ============================ PhD Opportunities at IMPRS NeuroCom The International Max Planck Research School on Neuroscience of Communication (IMPRS NeuroCom) (http://imprs-neurocom.mpg.de/main.html) now offers several positions for excellent students holding a Master´s degree (or equivalent) to perform research resulting in a PhD. IMPRS NeuroCom is based at the Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, and the University of Leipzig, and also involves the Max Planck Institute for Evolutionary Anthropology, Leipzig, and the Institute of Cognitive Neuroscience at University College London, UK. Deadline for the next round of open applications is January 4th, 2016. The interviews are expected to take place in March/April 2016. The programme will start in Autumn 2016. The IMPRS NeuroCom aims to recruit and educate excellent young scientists who wish to extend their knowledge and research experience in a structured 3-year research programme, in order to pursue a successful career in cognitive neuroscience. The school is intended for students holding a very good Master's degree (or equivalent) in a wide spectrum of potential disciplines such as cognitive neuroscience, psychology, medicine, neurobiology, linguistics, computer science, engineering, mathematics, physics, biochemistry, or related fields, awarded by an internationally recognized university-level institution. Research experience is essential for successful candidates. Applications are evaluated by IMPRS faculty members. Interview selection is based on academic qualifications, personal references, recommendation, research experience and interests, and suitability to the programme. PhD students of the IMPRS NeuroCom will receive funding based on the guidelines of the Max Planck Society. There are no tuition fees. Enrollment at the University of Leipzig is optional for German students and mandatory for international students. The enrollment fee is approximately €190 per semester. Please find more information about the research school and PhD programme at: http://imprs-neurocom.mpg.de/main.html and see http://imprs-neurocom.mpg.de/applications for details and use https://s-lotus.gwdg.de/mpg/mlnp/imprs_neurocom_2016.nsf/registration for your application. For further information please contact Dr. Veronika Krieghoff: vkrieghoff@cbs.mpg.de
A
3-years doctoral position (60% TVL E13) is available
from January 2016 in the research group of Stefan
Klöppel at the Freiburg Brain Imaging Center (FBI, http://www.uniklinik-freiburg.de/fbi/live/index_en.html) in
Germany. The candidate can obtain a PhD in the field of
Psychology, Medicine or Biology.
The
candidate will apply non-invasive brain stimulation
techniques (e.g. tDCS and TMS) in combination with
MR-imaging to patients in different stages of
neurodegenerative disorders such as Alzheimer’s disease.
The project aims to improve cognitive functioning
through cognitive training, etc. Imaging and TMS will
contribute to a detailed characterisation of individual
patients to motivate tailored interventions.
We offer
The FBI
integrates the efforts in neuroscience research of the
departments of Psychiatry/Psychotherapy, Neurology,
Neuroradiology and Neurosurgery. The research group is
closely collaborating with the Department for Pattern
recognition methods (http://lmb.informatik.uni-freiburg.de/index.en.html), the
local memory clinic (https://www.uniklinik-freiburg.de/zggf-en.html) and
the Cluster of Excellence (http://www.brainlinks-braintools.uni-freiburg.de/). The
project offers a wide range of research opportunities,
closely linked with clinical demands.
We
require
Applicants
must hold a master degree or equivalent in medicine,
psychology or a related field. Experience with tDCS and
TMS is advantageous but not required. Candidates should
be motivated to acquire basic programming skills (e.g.
Matlab). Disabled applicants are preferred if
qualification is equal. As the
University of Freiburg intends to increase the
proportion of female employees in science, women are
particularly encouraged to apply.
Please
send applications to PD Dr. Stefan Klöppel (stefan.kloeppel@uniklinik-freiburg.de)
Informal enquiries may call +49 761 270 52960 or
the email address given above.
Candidates should send a message to neuroimagem.ipq@hc.fm.usp.br with his/her CV and a letter of support.
Deadline: 13 Dec 2015
JOB DESCRIPTION
We are looking for a full-time researcher with previous experience in the use of software for the analysis of neuroimaging data. This post-doctoral fellow will be requested to work mainly with data acquired using resting-state functional magnetic resonance imaging methods (rs-fMRI) to evaluate patterns of functional connectivity in the brain.
In our project, funded by the FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO, BRAZIL (FAPESP), such brain imaging data is being acquired in groups of cognitively-intact elderly individuals, patients with Alzheimer´s disease (AD), and patients with mild cognitive impairment (MCI).
Pre-processing steps will be carried out using the software Analysis of Functional NeuroImages (AFNI), while the actual processing of data will be conducted using Matlab-based programs. The work will also involve use of software to evaluate the diagnostic accuracy to distinguish between AD, MCI and healthy elderlies, generating multivariate classifiers based on machine-learning methods (support vector machine).
With such strategy, we aim to identify which are the functional connectivity characteristics in the brain that are most critical for the progression from normal cognition to MCI and then to AD. The post-doctoral fellow should have knowledge about the acquisition and analysis of fMRI data and other neuroimaging modalities.
We aim to bring an individual with abilities to carry out, independently, analyses and organization of computational brain imaging data, interaction with other researchers involved in the same project, and participating in the writing up of scientific papers. These characteristics are expected to boost the scientific productivity from the funded project, both quantitatively and qualitatively.
The professional will also have the opportunity to interact with scientists who are at the forefront of technologies for amyloid imaging in the brain, and data will be combined with fMRI analyses in the same elderly subjects evaluated with those two imaging technologies. The post-doctoral fellow will have the opportunity to practice abilities in analysing data of a challenging scientifc project, and he/she will be expected to establish and use optimized processing pipelines for the analysis of rs-fMRI data and other neuroimaging modalities.
Requirements
- Completed PhD in areas related to computer sciences, neuroscience, neurology or psychiatry
- Research interest and brain imaging applied to research studies of brain aging
- Previous experience in the usage of processing and statistical analysis methods for research studies applied to magnetic resonance imaging studies of the brain.
best
regard
There is an opportunity for international student to apply for a postdoctoral fellowship at University of British Columbia affiliated hospital: http://www.cfri-training.ca/funding/cfri-funding/postdoctoral-fellowships CFRI M.I.N.D Postdoctoral Fellowships - For postdoctoral fellows whose supervisor is a member of the M.I.N.D theme and whose long term research outcomes and goals address one or more of the theme’s core areas of interest: 1) visualizing the brain using advanced neuroimaging, 2) mental health and behaviours in infants, children and youth 3) early diagnosis interventions and therapeutics for neurodevelopmental disorders. $50,000/year Application Process To apply download the 'CFRI Studentships & Fellowships - Guidelines & Application Form' and submit the completed application to reseduc@cfri.ca by December 1, 2015. The applicant would work in the CNoS lab, directed by Todd Woodward. All the best, Todd Woodward -- Todd S. Woodward, Ph.D. Cognitive Neuroscience of Schizophrenia Lab (CNoS) http://www.cfri.ca/our-research/researchers/results/Details/todd-woodward http://www.cnoslab.com/donate.html 604-875-2000 x4724 ***** Associate Professor Department of Psychiatry University of British Columbia BC Mental Health and Addiction Research Institute Vancouver, Canada ======================== Applications are invited for a postdoctoral researcher who will be in charge of a study on the representation of gustatory stimuli in the context of visual perception of food and other cues, as well as their hedonic and motivational potential. The study combines standard fMRI acquisition procedures with custom gustatory stimulation sequences. The project will be executed as a collaboration of the departments of Biological Psychology (T. Noesselt) and Psychoinformatics (M. Hanke), Institute of Psychology at the University of Magdeburg. It is embedded in the DFG-funded collaborative research center on the "Neurobiology of Motivated Behavior" (SFB 779; http://www.sfb779.de/en/index.html). The position is 100% FTE (E13 TV-L, with all benefits) and available for two years, with the possibility to be extended ed for an additional two-year period. This position offers an excellent opportunity to acquire expertise for a wide range topics. This includes versatile fMRI data acquisition techniques, analysis (statistical parametric mapping, pattern classification), and experimental algorithms (e.g. functional inter-subject alignment). Magdeburg, one of Germany's leading imaging facilities, offers a rich research landscape. Institutions, such as the Otto-von-Guericke- University, the Leibniz-Institute for Neurobiology, and the German Center for Neuro-Degenerative Diseases, contribute comprehensive infrastructure for brain imaging research, such as a multitude of research-dedicated MRI-scanners (Siemens 7 Tesla, fMRI-PET, Siemens Trio, Verio, Skyra und Philips Achieva). The close collaboration of research groups in Magdeburg offers many opportunities for interactions within the SFB779. The Institute of Psychology operates its own compute cluster for data analysis. Requirements: - Master degree (or Diploma, or an equivalent degree) _and_ PhD in psychology, neuroscience, or a related field of science - good publication record - English language skills - experience in planning, executing, and analysis of fMRI studies - profound knowledge of (at least) one of the programming languages Python or Matlab – as well as the ability to demonstrate this knowledge in practice - experience with scientific Python packages (e.g. SciPy, sklearn, Nipype, PyMVPA), and with the application of multivariate and machine learning algorithms is advantageous - experience with gustatory stimulation is desirable The University of Magdeburg is an equal opportunity employer. For more information, please see the official job posting: http://www.ovgu.de/unimagdeburg_media/Stellenausschreibungen/2015/Wissenschaftliche+Mitarbeiter/263_2015_Wiss_+MA_FNW_Hanke_Stellenausschreibung-p-31356.pdf (German only) or contact: Michael Hanke tel.: +49 391 67-18481 email: michael.hanke@ovgu.de www: http://www.psychoinformatics.de Interested candidates should send their applications including CV with transcripts or degree certificates, publication list, and a brief statement of research interests in a single file to: bewerbung@ovgu.de (cc: michael.hanke@ovgu.de) Reference: 263/2015 Application deadline is Dec 18 2015. ================================
The Center for Investigating Healthy Minds (CIHM) at the University of Wisconsin-Madison seeks an accomplished scientist with a strong record of academic achievement and scientific leadership. Commitment to and enthusiasm for an interdisciplinary approach to contemplative, affective and social neuroscience. Candidates with a developmental focus are especially encouraged to apply.
This position will provide oversight and direction to CIHM's contemplative, affective and social neuroscience research operations. The Scientist will work in partnership with Dr. Richard Davidson and his collaborative leadership team in three key areas: strategic planning and setting research direction, ensuring the research conducted is at the highest quality level and providing high-level project oversight to ensure the research is conducted as efficiently as possible.
Well-qualified candidates will have the following required experience:
- PhD. A degree in psychology, neuroscience or a related discipline is preferred.
- A minimum of 3 years' of post-doctoral experience in a research setting.
- A demonstrated ability for strategic thinking and a methodical approach to the implementation of neuroimaging research.
- Experience with at least one of the following neuroimaging analysis methodologies and/or software packages:
BOLD GLM, multivariate modeling, functional connectivity, VBM, FSL, SPM, and Freesurfer.
Well-qualified candidates will have the following preferred experience:
- A record of serving as Principal Investigator (PI) or co-investigator on extramurally supported research fellowships and/or projects.
- Competency in and experience with at least several of the key methodologies: structural MRI, fMRI, EEG, psychophysiology, neuroendocrine, immune, genetic, and epigenetic measures.
- Competency in at least one of the following: R, SPSS, MATLAB and/or Python.
- Experience with writing grant proposals and budget preparation.
- Experience providing team leadership in a scientific environment.
- Self-motivated and have excellent organizational, interpersonal, writing and communication skills.
Additional Information:
Salary is negotiable and commensurate with skills and experience.
Please see the attached PDF or visit our website for more detailed information about the job duties: http://www.investigatinghealthyminds.org/cihmEmployment.html#employmentOpp
Application Procedures:
To apply, please submit a cover letter and resume highlighting your relevant experience to Brittany.Thomson@wisc.edu by 12/23/15, or apply through UW-Madison’s JobApply website at https://www.ohr.wisc.edu/Weblisting/External/PVLSummaryApply.aspx?pvl_num=84242
Thank you!
--
Brittany Thomson
--
Davidson Admin Team
T-229 / (608) 890-0143
Waisman Laboratory for Brain Imaging & Behavior
Center for Investigating Healthy Minds
====================
Human Magnetic Resonance Center
Director - The College of
Natural Sciences & Institute for Applied Life
Sciences, University of
Massachusetts Amherst
POSITION: The Human Magnetic Resonance (MR) Center
at the University of
Massachusetts Amherst is scheduled to open in April
2016. As part of the $95
million investment of the University and the
Commonwealth into the new
Institute of Applied Life Sciences (http://www.umass.edu/ials/),
the Center will house a state-of-the-art Siemens
Skyra 3T magnetic resonance
system. We invite applications for a tenured
position in a Department in the
College of Natural Sciences from Ph.D.-level
scientists at the rank of
ASSOCIATE PROFESSOR or PROFESSOR to serve as
director for this new MR Center.
The new hire will collaborate with IALS faculty and
industry scientists, and
provide essential training for the next generation
of scientists. IALS and the
UMass Amherst campus are committed to the
development of translational research
programs and to fostering interactions with
industry. IALS will fill a number
of faculty positions at both senior and junior level
over the next two years.
IALS has recently made major investments in campus
infrastructure and core
facilities (see http://www.umass.edu/ials/core-facilities for more details) and is also
partnering with the
Massachusetts Green High Performance Computing
Center (see http://www.mghpcc.org/).
STARTING DATE: September 1, 2016
QUALIFICATIONS: The successful candidate should have
a PhD in Neuroscience,
Psychology, Physics, Biology or related field.
RESPONSIBILITIES: As a faculty member with a home in
one of the departments in
the College of Natural Sciences, the director will
lead his or her own research
lab and related student training. The director is
expected to lead the MR
Center in all its functions and to carry out his or
her own neuroimaging research,
with approximately 50% time dedicated to each of
these activities. The director
will build and lead a highly productive center and
support the development of
MR research of new and existing faculty and industry
users. The director will
also oversee center staff including physicists and
technicians.
REQUIREMENTS: Preference will be given to a
candidate with demonstrated
leadership and extensive experience and involvement
in a successful MR center.
We seek relevant expertise in areas such as:
anatomical or functional
neuroimaging; development of new neuroimaging
methodologies; or neuroimaging of
cognition. Successful candidates will have a strong
track record of
research publications and federal funding focused on
the development or use of
state-of-the-art magnetic resonance techniques and
approaches for the study of
human brain structure and function.
Department, School, Institute, University and
Community: The University of
Massachusetts Amherst (http://www.umass.edu), the
flagship campus of the University of Massachusetts
system, is a nationally
ranked public research university and home to over
22,000 undergraduate and
6,000 graduate students. The 1,430 acre campus is
located in the scenic Pioneer
valley of western Massachusetts, 90 miles from
Boston and 175 miles from New
York City. The University of Massachusetts Amherst,
along with Amherst College,
Hampshire College, Mount Holyoke College, and Smith
College, is a member of the
Five College Consortium and the Academic Career
network. The region boasts a
rural setting with easy access to Boston, Hartford,
and New York City. Amherst
is nestled between the Berkshire Mountains, Holyoke
Range and Pelham Hills
providing many recreational opportunities.
APPLICATION PROCESS: IALS and CNS are strongly
committed to increasing the
diversity of the faculty, student body, and
curriculum. The search committee
will begin reviewing applications on January 6,
2016. The search will continue
until the position is filled. Applicants should
submit a current CV,
research statement, and contact information for
three references.
These materials should be submitted to: http://umass.interviewexchange.com/jobofferdetails.jsp?JOBID=66077
For questions about the position, contact search
committee co-chair, John
McCarthy at jmccarthy@grad.umass.edu
The university is committed to active recruitment of
a diverse faculty and
student body. The University of Massachusetts
Amherst is an Affirmative
Action/Equal Opportunity Employer of women,
minorities, protected veterans, and
individuals with disabilities and encourages
applications from these and other
protected group members. Because broad diversity is
essential to an inclusive
climate and critical to the University's goals of
achieving excellence in all
areas, we will holistically assess the many
qualifications of each applicant
and favorably consider an individual's record
working with students and
colleagues with broadly diverse perspectives,
experiences, and backgrounds in
educational, research or other work activities. We
will also favorably consider
experience overcoming or helping others overcome
barriers to an academic degree
and career.