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Research Associate - Computational Connectomics (CoCo) Lab at Cornell University, Ithaca NY

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Research Associate - Computational Connectomics (CoCo) Lab at Cornell University, Ithaca NY

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Postdoctoral Fellowship - Multi-Modal Presurgical MRI in Patients with Brain Tumors

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Postdoctoral Fellowship - Multi-Modal Presurgical MRI in Patients with Brain Tumors

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Postdoc in AFNI Group - NIH - Bethesda MD USA

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Postdoc in AFNI Group - NIH - Bethesda MD USA

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Inquiries to Bob Cox via rwcox123@gmail.com or Twitter DM to @AFNIman
Also see
https://docs.google.com/document/d/1a7gfQMetm821d0zin2uLviAaRWcIAnqtIalvobNAvfM/edit?usp=sharing

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Junior Fellowship in Neuroimaging, Complex Systems, Machine Learning or other areas of Computer Science in Prague

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Junior Fellowship in Neuroimaging, Complex Systems, Machine Learning or other areas of Computer Science in Prague

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Inquiries to Jaroslav Hlinka (hlinka@cs.cas.cz or poster 2472 TWTh 12:45–13:45)

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Postdoctoral fellow position available at UCLA

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Postdoctoral fellow position available at UCLA

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The Laboratory of Molecular Neuroimaging (LMN) at the Semel Institute for Neuroscience and Human Behavior at UCLA in Los Angeles, California is now accepting applications for qualified and motivated postdoctoral fellows to conduct mentored research in human neuroimaging of social decision making.

LMN has a vibrant research program, applying multimodal imaging in studies that use molecular (PET), functional (BOLD fMRI, perfusion MRI), and structural measures (sMRI, DTI). Postdoctoral fellows, based in LMN, will have the opportunity to interact with a well-established group of investigators within the laboratory and with other neuroimaging scientists at UCLA.

The project on which the postdoc will be working will involve setting up behavioral experimental task paradigms for use in and out of the MRI setting, recruiting healthy adult participants, analyzing behavioral and MRI data, and writing manuscripts.

Interested applicants should meet the following criteria:

1) Interest in social neuroscience and decision making. Experience in social neuroscience or social psychology preferred

2) Technical experience in functional MRI data acquisition and analysis. Experience in both univariate and multivariate statistical analyses is preferred.

3) Strong programming skills (e.g., Matlab, Python, and/or shell scripting)

4) Strong statistical background

5) Doctoral degree (PhD in cognitive or affective neuroscience, cognitive science, experimental psychology, or related discipline)

Salary will be commensurate with training level. UCLA is an equal-opportunity employer. Women and minorities are encouraged to apply.

Earliest start date is August 2018.

APPLICATION PROCEDURE:

Applications must include the following items in order to be considered:

1. Current curriculum vitae

2. Letter of intent

3. Names of two references

Interested applicants should email Dara Ghahremani (darag@ucla.edu)

More information about LMN:
http://www.semel.ucla.edu/laboratory-molecular-neuroimaging

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Postdoctoral Position - Cognitive Neuroscience Lab, Duke-NUS Medical School

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Postdoctoral Position - Cognitive Neuroscience Lab, Duke-NUS Medical School

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Research Associate/Data Analyst in Deep Learning & Psychiatric Brain Imaging

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Research Associate/Data Analyst in Deep Learning & Psychiatric Brain Imaging

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MSc or PhD Position in Deep Learning & Psychaitric Brain Imaging 

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MSc or PhD Position in Deep Learning & Psychaitric Brain Imaging 

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Postdoctoral and visiting student/scholar positions -- Baby Connectome Project

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Postdoctoral and visiting student/scholar positions -- Baby Connectome Project

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Postdoctoral research associate and visiting student/scholar positions are available in the Department of Radiology and Biomedical Research Imaging Center (BRIC) at the University of North Carolina at Chapel Hill (UNC-Chapel Hill). Our current focuses are to better understand the dynamic development of brain structure, function and connectivity during critical early postnatal stages, via computational analysis of high-quality multimodal neuroimaging data acquired by UNC/UMN Baby Connectome Project. We are seeking highly motivated individuals who have extensive research experience in neuroimaging analysis (e.g., structural, diffusion or functional MRI) and demonstrated academic excellence, including publications in first-class journals and conferences. The postdoctoral candidate should have a Ph.D. (or equivalent) in Neuroscience, Computer Science, Applied Mathematics/Statistics, Electrical Engineering, Biomedical Engineering, or related fields. Good command of programming tools including Matlab, C++, Linux, and scripting are necessary to carry out the research work in this group. The candidate will support our efforts either in advancing neuroimaging analysis technologies or in neuroscience applications.

The successful candidate will be part of a diverse group including neuroscientists, radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's extensive foundation on neuroimaging analysis. If interested, please email resume to Dr. Gang Li (gang_li@med.unc.edu).

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Fellowship in the area of neuroimaging, complex systems or general computer science available in Prague, Czech Republic - in the heart of Europe

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Fellowship in the area of neuroimaging, complex systems or general computer science available in Prague, Czech Republic - in the heart of Europe

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POST-DOCTORAL POSITION IN DEVELOPMENTAL COGNITIVE NEUROSCIENCE AT AIX-MARSEILLE UNIVERSITY

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POST-DOCTORAL POSITION IN DEVELOPMENTAL COGNITIVE NEUROSCIENCE AT AIX-MARSEILLE UNIVERSITY

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Applications are invited for a two-years post-doctoral position in Marseille, to study the development of social cognition from late childhood to  adolescence.

Candidates should hold a PhD in  Neuroscience, Psychology or related area and have some research experience in fMRI, experimental design and advanced statistical analyses.

This interdisciplinary position will involve, in collaboration with other members of the team: setting up behavioural and fMRI designs, recruiting and testing children and adolescents, analysing the data and writing results.

The cognitive neuroscience community in Marseille is very active, and takes advantage of many facilities (state-of the art EEG, MEG, a newly renovated fMRI center, NIRS) and benefit from close interactions between healthy humans, clinical and animal research.

Marseille is one of the most vibrant city in the South of France, with wonderful beaches, eating and hiking possibilities

Applications should be sent by email (marie-helene.grosbras@univ-amu.fr) and should include a CV, a brief statement of research interests, the expected date of availability and the names of 2 references. Also here at OHBM Vancouver if you want more info!

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Post-doctoral Fellow Positions at the University of Hong Kong

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Post-doctoral Fellow Positions at the University of Hong Kong

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Applications are invited for two Post-doctoral Fellow positions (high-density EEG and fNIRS) in the Laboratory of Neuroscience for Education (NfE Lab) in the Faculty of Education, to commence as soon as possible for a period of two years, with the possibility of renewal for the third year.

Located at the heart of the culturally diverse and vibrant city of Hong Kong, where the East meets and mixes with the West, the newly established NfE Lab is part of the Science of Learning Strategic Initiative, dedicated to both basic and translational research. By investigating learning in the natural social, emotional, and developmental context, the NfE Lab aims to uncover generalizable learning principles at multiple levels of analysis and in multiple domains of learning (e.g. math and language) and create societal impact via enhancement of learning, improvement of teaching practice, and informing educational policy making. Leveraging recent advances in neurotechnology development, the NfE Lab sets its priority on bringing laboratory-based neuroimaging research into the real world of learning.

Applicants should possess a Ph.D. degree in fields associated with Science of Learning, including but not limited to cognitive neuroscience, psychophysiology, neuroimaging, computational neuroscience, computer science, electrical and computer engineering, and physics, with at least two years of experience in either high-density EEG (post 1– Ref.: 201700564) or fNIRS (post 2 – Ref.: 201700565) research. Applicants with technical skills in both fNIRS and hdEEG are particularly welcome to apply.

The appointees are expected to have substantial experience and a publication record in interdisciplinary and collaborative neuroscience research on learning broadly defined; and demonstrated ability to design and conduct research projects and mastery of either high-density EEG or fNIRS techniques.

The duties and responsibilities of the appointees include participating in proposal writing and research designs; implementing and performing hd EEG or fNIRS experiments involving participants across a wide range of ages in the laboratory or school/home settings; analyzing data; and writing and submitting manuscripts for peer reviewed journals relevant to science of learning.

Information about the Faculty and NfE Lab can be obtained at http://www.hku.hk/education and http://nfe.edu.hku.hk. Enquiries about the post should be addressed to Professor Akaysha Tang, Director of the NfE Lab, Faculty of Education (e-mail: actang@hku.hk).

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Applicants should send a completed application form together with an up-to-date C.V. to eduface@hku.hk. Applicants should state clearly which post(s) and the reference number(s) they wish to be considered for. Application forms (341/1111) can be downloaded at http://www.hku.hk/apptunit/form-ext.doc.

For more information about the lab, please visit nfe.edu.hku.hk/.

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Tenure-Track Assistant Professor Position at the University of Hong Kong

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Tenure-Track Assistant Professor Position at the University of Hong Kong

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Applications are invited for tenure-track appointment as Assistant Professor in Neuroscience for Education (NfE) in the Faculty of Education, to commence as soon as possible, preferably no later than January 2018, on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract.

Applicants must have (i) a Ph.D. in a discipline associated with Science of Learning and expertise in quantitative analysis and computational skills; (ii) strong evidence of foundational research training in methods of brain imaging (e.g. high-density EEG, fNIRS, MEG, and fMRI); (iii) an innovative research program that translates (or has the potential to translate) real world educational challenges into experimentally trackable neuroscience problems and solutions; (iv) a track record of working collaboratively across disciplines; (v) strong interest in and commitment to team development and delivery of core courses in Neuroscience for Education at Undergraduate, Master’s and Ph.D. levels. Undergraduate teaching will include contributing to Common Core courses, as well as cross-Faculty programs in Neuroscience, working with the Psychology Department (Faculty of Social Sciences).

The appointee will be responsible for developing a research program in Neuroscience for Education (inclusive of combined neuroimaging and behavioral experimentation) as an integral part of the Science of Learning Strategic Research Theme; securing external competitive research grants and publications in peer reviewed journals; enhancing collaboration between the Faculty of Education and other Faculties with interests and expertise in Science of Learning research; engaging in teaching and program development, graduate student mentorship, and disseminating research findings to schools and the general public.

Information about the Faculty of Education can be obtained at http://www.hku.hk/education.  Enquiries relating to the roles and responsibilities of the position should be addressed to Professor Akaysha Tang, Faculty of Education (e-mail: actang@hku.hk).

A highly competitive salary commensurate with the appointee’s qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable.

Applicants should send (1) a completed application form (Form 341/1111), which can be downloaded at http://www.hku.hk/apptunit/form-ext.doc); (2) an up-to-date C.V.; (3) a cover letter discussing: (i) evidence of your qualifications, (ii) publications and other forms of research outputs, (iii) research programs you have led or participated, if any, (iv) details of how your expertise can inform life-long learning across diverse populations, or how you plan to do so in the future, (v) your teaching experiences and teaching philosophy; and (4) three representative publications to edufaca@hku.hk.

For more information about the lab, please visit http://nfe.edu.hku.hk/.

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Neural Engineering Post-Doc in New York City

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Neural Engineering Post-Doc in New York City

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A Postdoctoral Position in the area of Neural Engineering is available in the lab of Jacek Dmochowski at the City College of New York (CCNY).  Research in the lab is directed towards the development of non-invasive techniques for stimulating the human brain and decoding its activity.  For this we employ a variety of tools including electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and transcranial direct current stimulation (tDCS).  The Department of Biomedical Engineering at CCNY has a core strength in human neuroscience and is home to three neural engineering labs that closely collaborate.

Candidates should have a Ph.D. in engineering, physics, computational neuroscience, or a closely-related field.   Experience with computer programming in Matlab or Python is strongly preferred.  The successful candidate will be given the opportunity to lead one or more projects that involve both experimental (human subjects research) and computational (machine learning, biophysical modeling) components.   The candidate will be involved in all facets of the research including experimental design, data collection, analysis, and preparation of manuscripts.

The position is for two years and has a flexible start date.  Salary is competitive and based on years of experience.  Interested candidates should submit a C.V., a short statement of research experience and interests, as well as contact information for at least two references to jdmochowski@ccny.cuny.edu.

For more details about the lab, please visit the website at jd-lab.org.

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Full Time Research Assistant Position at Stanford University

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Full Time Research Assistant Position at Stanford University

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Division of Interdisciplinary Brain Sciences Research, Stanford University

A full-time Research Assistant position is available in Dr. Hosseini’s group within the Center for Interdisciplinary Brain Sciences Research (CIBSR) at Stanford University.

The position involves leading/assisting with various aspects of multimodal neuroimaging studies in human including assessments, neuroimaging data collection, preprocessing and analysis as well as taking part in manuscript preparation. The focus of the computational neuroimaging studies is on investigating alterations in the organization of human connectome in health and disease (Alzheimer’s, ADHD, Stroke, etc.) using state of the art neuroimaging techniques (fMRI, sMRI, DWI, fNIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses). The translational projects involve developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders.

Requirements:

-  Bachelors in Neuroscience, Psychology, Computer Science, Statistics, Physics or a related field.

-  Experience with programming in Matlab, Python, and/or other related computing languages.

-  Strong analytical skills.

-  Strong interpersonal and organizational skills.

Preferred Qualifications:

-  Familiarity with neuroimaging (fMRI, fNIRS) data collection and related analysis packages (SPM, FSL, AFNI, HOMER, etc.).

-  Strong written communication skills.

-  Previous experience with human subject (behavioral/neuroimaging) research.

To apply: Applicants are invited to send their resume and a cover letter (optional) to study_brain@stanford.edu.

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Postdoctoral Position in Computational Neuroimaging at Stanford University

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Postdoctoral Position in Computational Neuroimaging at Stanford University

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Division of Interdisciplinary Brain Sciences Research, Stanford University

To apply: Applicants are invited to send a CV, names of three references with contact information, representative publications (up to 3), and a cover letter (optional) to study_brain@stanford.edu (ask for potential meet up at OHBM 2017).

Description:
A full-time postdoctoral position is available in computational neuroimaging, connectomics and cognitive intervention in Dr. Hosseini’s group within the Center for Interdisciplinary Brain Sciences Research (CIBSR) at Stanford University.

The postdoctoral fellow will lead neuroimaging projects involving multimodal MRI (functional, diffusion) and NIRS imaging to understand the effect of cognitive and neurofeedback training on brain networks in children and older adults. The postdoctoral fellow will participate in collecting and analyzing multimodal neuroimaging data, training and supervising students and research assistants, preparing manuscripts for publication, as well as assisting with grant applications. The position provides a unique training opportunity in advanced neuroimaging, graph theoretical and connectomics methods, and neurocognitive intervention.

Requirements:

-       PhD (or MD) or equivalent in neuroscience, computer science, psychology, statistics, engineering or a related field.

-       Familiarity with neuroimaging data collection and related analysis packages

-       Experience with programming in Matlab, python and/or other related computing languages.

-       Strong writing skills demonstrated by peer reviewed publications

-       Strong interpersonal, organizational and mentoring skills

-       Familiarity with advanced data analysis methods, multivariate statistics, machine learning, data mining and visualization, and cloud computing is a plus.

The research in Dr. Hosseini’ group crosses multiple disciplines including computational neuropsychiatry, cognitive neuroscience, multimodal neuroimaging and neurocognitive rehabilitation. The computational neuropsychiatry research mainly involves investigating alterations in the organization of connectome in health and disease (ADHD, Alzheimer’s, Stroke, etc.) using state of the art neuroimaging techniques (fMRI, sMRI, DWI, functional NIRS) combined with novel computational methods (graph theoretical and multivariate pattern analyses). The ultimate goal is to translate the findings from computational neuropsychiatry research toward developing personalized interventions. Dr. Hosseini’s group have been developing personalized interventions that integrate computerized cognitive rehabilitation, real-time functional brain imaging and neurofeedback, as well as virtual reality (VR) tailored toward targeted rehabilitation of the affected brain networks in patients with neurocognitive disorders.

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Postdoctoral Positions in the Honey Lab at Johns Hopkins University

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Postdoctoral Positions in the Honey Lab at Johns Hopkins University

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We are recruiting postdoctoral researchers with interests in the following two areas:

• Processing Timescales: How do our brains combine patterns of information over time? How do we detect and learn sequential structure? How are different timescales of information processing related within the cortical hierarchy? We are working on both empirical and computational projects in this area.

• Brain Networks: How are large-scale brain networks measured at the centimeter scale related to circuit-level interactions at the sub-millimeter scale?
To address this question we are combining data from experiments conducted by a team of neuroscientists. Projects in this area will model and inter-relate data from fMRI, EEG and ECoG recordings in humans, as well as single unit and LFP recordings in non-human primates.

Timing: Start date is flexible. Funding is available for at least three years. The initial appointment will be for one year, with the opportunity for renewal.

Contact: Chris Honey (chris.honey@jhu.edu); please include a current CV and an example publication.

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Postdoctoral and PhD position in Neuroimaging

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Postdoctoral and PhD position in Neuroimaging

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The main research project in QNL is to investigate the physiological and neural bases of the fMRI-BOLD deactivations or negative hemodynamic response during task performance. Almost any goal-oriented task performance generates negative BOLD response in some regions of the brain. While the evidence for the physiological and neural bases of positive fMRI-BOLD activation is emerging in the neuroimaging field, little or none is known about its negative counterpart. In theory, under the perfect cerebral auto-regulated condition, in which the brain's total input blood flow is kept constant, the brain cannot generate positive hemodynamic response without inducing negative hemodynamic response in other regions. However, how such a dynamic is regulated in the brain, how the brain decides what regions to be deactivated, and where in the brain this process takes place are all currently unknown.
We are seeking outstanding doctoral and predoctoral functional imaging researchers to join our team. If you are interested please contact me and preferably let's meet during the conference to discuss our projects in more detail.

Ray Razlighi
Columbia University
qr2108@columbia.edu
http://www.columbia.edu/cu/qnl/

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Icahn School of Medicine at Mount Sinai, New York

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Icahn School of Medicine at Mount Sinai, New York

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We seek an outstanding individual for a postdoctoral fellow position in computational neuroimaging and mental health. This is a key position for a 3-year NIMH funded project to examine the efficacy of attention bias modification in mood disorders. The position will be in The Department of Psychology (http://liberalarts.utexas.edu/psychology/) and the Institute for Mental Health Research (http://liberalarts.utexas.edu/imhr/) at the University of Texas, Austin

The postdoctoral fellow will be responsible for overseeing all aspects of the neuroimaging component of this project. Collecting high quality MRI data and then apply advanced data analytic approaches (graph theoretical network analysis, machine learning, multivariate modeling).

Necessary qualifications include: 1) a PhD in neuroscience, psychology, cognitive science, computer science or a related field; 2) experience with collecting, processing and analyzing functional and structural MRI data; 3) experience with typical neuroimaging software packages - fMRI/MRI/DTI (e.g., FSL, AFNI, SPM, Freesurfer); 4) experience implementing quality coding, particularly with python, unix and/or matlab; and 5) meticulous attention to detail.

Preference will be given to candidates who additionally have: 1) experience working with individuals with mood disorders; and/or 2) have previous experience with advanced analytic techniques (e.g., multivariate approaches, machine learning, and/or graph theory).

Interested persons may send their CV and a cover letter to David Schnyer – schnyer@utexas.edu. Here at OHBM Vancouver if you want to meet and chat!

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Postdoctoral Research Fellow Position in Infant Brain MRI analysis at the A.A. Martinos Center, MGH and Harvard Medical School under Dr. Lilla Zöllei

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Postdoctoral Research Fellow Position in Infant Brain MRI analysis at the A.A. Martinos Center, MGH and Harvard Medical School under Dr. Lilla Zöllei

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JOB DESCRIPTION
A postdoctoral fellow is recruited for an NIH funded project for developing Freesurfer-compatible brain image analysis tools for children between 2-6 years of age. Code development will focus on pair- and group-wise registration tools, segmentation methods and surface-based image analysis algorithms.

This position is hosted in the Laboratory of Computational Neuroimaging and the position offers great opportunities to collaborate with a large group of scientists from diverse research disciplines. Approximate start date is summer/ fall 2017. Successful applicants will be appointed at Massachusetts General Hospital, Boston and Harvard Medical School.

REQUIREMENTS
The successful applicant should have a doctoral degree in a field related to medical imaging (e.g., computer science, electrical engineering, biomedical engineering, applied mathematics, computational neuroscience). The successful applicant must possess excellent English verbal and written communication skills. Applicants are expected to have a very strong research background in method development and brain image analysis and should be able to work independently. Strong programming skills (for example, C/C++, MATLAB, and/or Python) are a must and prior experience with brain image-analysis packages (such as SPM, FSL, FreeSurfer, AFNI) is desirable.

APPLICATION
For consideration please send a statement of interest, a CV and a list of three potential references via email to Lilla Zöllei, PhD (lzollei@nmr.mgh.harvard.edu). The search will continue until the position is filled.

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Postdoctoral Position at Boston/Children’s Hospital & Harvard Medical School

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Postdoctoral Position at Boston/Children’s Hospital & Harvard Medical School

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JOB DESCRIPTION:
The GaabLab at the Laboratories of Cognitive Neuroscience at Boston Children’s Hospital/Harvard Medical School invites applications for a post-doctoral associate position in the area of developmental cognitive neuroscience/pediatric (f)MRI. The candidate will be expected to oversee the analysis of pediatric and infant (f)MRI experiments, analyze behavioral and (f)MRI data, develop new analysis tools, prepare manuscripts for publication, and participate in conferences. The current projects in the lab aim to characterize trajectories of early structural, functional and metabolic brain development in infants and young children. Participant populations include infants/young children who grow up in adverse environments, young children exposed to alcohol in uterus or children with a genetic or behavioral risk to develop language-based learning disabilities.

REQUIREMENTS:
The successful applicant should have a doctoral degree in a field related to developmental cognitive neuroscience (e.g., cognitive neuroscience, neuroscience, psychology, developmental psychology, medicine) or a background in electrical engineering, biomedical engineering or computer science. The successful applicant must possess excellent English verbal and written communication skills. Applicants are expected to have a very strong research background in the design and analysis of functional brain-imaging experiments. Experience with (f)MRI analyses programs (e.g., SPM, FSL, Freesurfer, AFNI) a must. Programming skills (MATLAB, C++; Python) are desirable and experience with MVPA or connectivity analyses a plus. Experience with the analysis of pediatric neuroimaging data sets and language and reading research are useful. Approximate start date is summer/ fall 2017. Successful applicants will be appointed at Children’s Hospital Boston and Harvard Medical School.

APPLICATION:
For consideration please send a statement of interest, a CV and a list of three potential referees via email to Nadine Gaab, PhD (nadine.gaab@childrens.harvard.edu). The search will continue until the position is filled

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Post-doctoral Research Scientist in Connectivity in Australia

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Post-doctoral Research Scientist in Connectivity in Australia

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Job Description: The “MRI Blood Flow and Brain Connectivity” Laboratory (Head of Lab: Fernando Calamante) at The Florey is internationally recognised for the development and implementation of advanced perfusion and diffusion MRI techniques, with the advantage that this work is taking place within a world-class clinical neuroscience research environment. The Lab’s main research interests include the development and application of MRI methods to study brain structural and functional connectivity.

The Post-Doctoral MR position will be for a 3 year period initially; the successful candidates will undertake the development and implementation of novel MR acquisition and/or processing techniques to investigate: functional connectivity, structural connectivity (fibre-tracking and/or track-weighted imaging methods), the structural-functional connectivity link, and the connectome.

The principal neuroscience interests of the Lab are in the fields of epilepsy, stroke and mental health, and the development work will have the ultimate goal of applicability to problems in these fields.

Requirements for applicants: A doctorate in MR physics, engineering or equivalent, and experience in high level MRI image processing are essential. Previous experience in structural and/or functional connectivity method development are highly desirable.

Further information: please contact Prof. Fernando Calamante (Email: fernando.calamante@florey.edu.au).

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POSTDOCTORAL RESEARCH FELLOW IN DIFFUSION MRI

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POSTDOCTORAL RESEARCH FELLOW IN DIFFUSION MRI

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A postdoctoral research fellow position is available at the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, under the supervision of Dr. Anastasia Yendiki.

Responsibilities:

The postdoc will work on an R01-funded project that aims to map human white-matter anatomy using ex vivo diffusion-weighted MRI and optical coherence tomography at microscopic resolutions; and to use this mapping to inform algorithms for analyzing in vivo diffusion-weighted MRI data. Involvement is also possible in other ongoing projects, including in vivo MRI studies of white-matter connections in psychiatric disease, and ex vivo validation of diffusion-weighted MRI with chemical tracing. For more information on research projects, see: http://scholar.harvard.edu/a-y

The position is within the Laboratory of Computational Neuroimaging, offering exposure to research on a wide range of MRI data analysis and acquisition methods, as well as opportunities to teach in courses and training workshops.

Requirements:

The ideal candidate has a Ph.D. in electrical engineering, biomedical engineering, computer science, or related field. Prior research experience with diffusion-weighted MRI data analysis or acquisition is preferred. Creativity, initiative, proven ability to publish, and excellent oral and written communication skills are key.

Application:

Applicants should submit a curriculum vitae, the contact information of least two references, and a cover letter describing their research background, interests, and professional goals by email to Dr. Anastasia Yendiki (ayendiki@mgh.harvard.edu).

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Neuropsychiatry Professor position opening at University of Pennsylvania

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Neuropsychiatry Professor position opening at University of Pennsylvania

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The Department of Psychiatry at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Associate or Assistant Professor position in the tenure track. Responsibilities include development of a research program that includes synergistic interaction with other basic and clinical researchers. Applicants must have an M.D. and/or Ph.D degree and have demonstrated excellent qualifications in research.

The successful applicant will have substantial experience in the field of neuroimaging and interest in contributing to projects that incorporate neuromodulatory strategies, in particular Transcranial Magnetic Stimulation (TMS) or magnetic seizure therapy (MST). Other techniques such as ECT, VNS, biofeedback with a focus on task-based and resting state fMRI are also of interest, particularly in conjunction with TMS. Responsibilities include collaborative and independent research on fundamental properties of neural networks, neuroplasticity, and the application of computational techniques to interrogate brain circuitry in psychiatric disorders. Ultimately the goal is the development of prognostic biomarkers and treatment targets through understanding the underlying pathogenesis of neuropsychiatric disorders. We are especially interested in candidates whose research focuses on addiction and PTSD. The candidate must have demonstrated excellent qualifications in research and teaching in neuroimaging, neuromodulatory techniques, cognitive neuroscience and/or translational research. Must have at least 4 years (Assistant)/ 7 years (Associate) experience conducting research in the area of neuroimaging in psychiatric populations. A track record of publications and NIH funding in this area is expected. Competitive candidates will have strong programming and computational skills. Prior experience with interfacing to data acquisition hardware and/or creating real-time systems is desirable.

Interested individuals should provide a brief cover letter, curriculum vita, 2-3 page research statement, and names of 2-3 references. The primary faculty appointment will be in Psychiatry with the possibility of dual appointments with one or more other appropriate departments at Penn.

We seek candidates who embrace and reflect diversity in the broadest sense.

The University of Pennsylvania is an EOE. Minorities/Women/Individuals with disabilities/Protected Veterans are encouraged to apply.

Apply for this position online at: https://www.med.upenn.edu/apps/faculty_ad/index.php/g/d4511

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Postdoctoral FellowshipHuman Neuroimaging in Mental Health at the Center for Imaging of Neurodegenerative Diseases (CIND) and VA Medical Center & University of California San Francisco, CA, USA

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Postdoctoral FellowshipHuman Neuroimaging in Mental Health at the Center for Imaging of Neurodegenerative Diseases (CIND) and VA Medical Center & University of California San Francisco, CA, USA

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A postdoctoral position in human neuroimaging is available at the University of California San Francisco and the VA Medical Center in San Francisco with
Drs. Dieter J. Meyerhoff and David L. Pennington.

The focus is on brain magnetic resonance studies in mental health/substance abuse that use structural MRI, proton MRS, functional MRI, perfusion and diffusion MRI. We have 2 dedicated Siemens research scanners (3T and 7T) located within the VA Medical Center. The research environment is stimulating, patient oriented, and fostered by the greater UCSF and VA research environment that provides excellent work, training, and career opportunities for dynamic and motivated individuals interested in addiction-oriented translational and clinical research.

Our neuroimaging research has two primary aims: 1) to understand the chronic effects of alcohol, tobacco, and other drug use on the brain and its functions, and 2) to investigate the neurobiological substrates of pharmaco- and behavioral therapies for substance use disorders. Research responsibilities include hands-on conduct of studies incl. neuroimaging acquisition, processing and analysis, cognitive assessment, manuscript preparation, as well as dissemination of the research in scientific and clinical research communities. Fellow may participate in pilot projects, have opportunities for first-author publications and conferences presentations using new and existing datasets, and opportunity to prepare independent research grants.

Qualified applicants are highly motivated, creative, and interactive clinical scientists who have a PhD in Psychology, the Neurosciences, or related area. Excellent verbal/written communication skills, strong quantitative/analytical skills, creative problem solving skills, and computer aptitude is required. Hands-on experience with in vivo MRS, MRI, fMRI, SPSS/Stata/R statistical analyses, as well as Matlab programming and data analysis expertise is highly desirable.

Please submit a CV and 3 names of references to

Dieter J. Meyerhoff, PhD            or            David L. Pennington, PhD

dieter.meyerhoff@ucsf.edu                          David.Pennington2@va.gov

415-221-4810 x24803                                    415-221-4810 x24504 at the SF VA

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Data Analyst in Multimodal Imaging - Contemplative Neuroscience & Integrative Medicine Laboratory

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Data Analyst in Multimodal Imaging - Contemplative Neuroscience & Integrative Medicine Laboratory

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Vanderbilt University – Osher Center for Integrative Medicine – Data Analyst

The Contemplative Neuroscience and Integrative Medicine lab (CNIM) at the Osher Center for Integrative Medicine at Vanderbilt University Medical Center invites applications for a data analyst position. The appointment is for 1-3 years with the possibility to establish an independent program and a faculty appointment at VUMC

The mission of The Osher center's new CNIM research laboratory is to alleviate suffering and improve well-being through rigorous investigation of the mind. Under the direction of David Vago, PhD, the CNIM utilizes a translational approach to identify and characterize neurobiological substrates mediating psychopathology, to better predict outcomes and clarify potential biologically-based diagnostic and therapeutic strategies for those suffering with mental illness and chronic pain.

This is an exciting opportunity to contribute your technical expertise and creativity to innovative research projects in a collaborative, multi-disciplinary environment and to gain experience in patient-centered research using psychological, first-person phenomenological, cognitive-behavioral, genomic, neuroendocrine, physiological (e.g., EEG, EMG, ECG, HR, BP, pupillary, skin conductance) and multimodal (e.g., fMRI, MRI, DTI, MRS, EEG-fMRI) brain imaging techniques. The successful candidate will have access to state-of-the-art brain imaging and computational facilities at the Vanderbilt University Institute of Imaging Science (VUIIS), the VU Brain Institute, the largest DNA databank (BioVU) in the world, and Vanderbilt Institute for Clinical and Translational Research (VICTR) in order to carry out high-impact multi-disciplinary research and development of innovative mental health applications. Access to de-identified medical record information and data associated with participation in integrative medicine therapies is also available from Bravenet, the nation's largest practice-based integrative medicine research network across 19 collaborative institutions.

The successful candidate will work closely with our expert team of clinicians and research staff, neuroimaging faculty, and collaborators across the Vanderbilt University campus to contribute to the rigorous investigation of mind-brain-body interactions and their therapeutic relevance in health care settings. The post-doctoral fellow will be expected to contribute to ongoing projects and to develop an independent line of research. Mentorship, training, and professional development opportunities will be provided to facilitate the fellow's future career in academic, research, or industry settings with expertise in affective neuroscience, the science of meditation and integrative medicine.

We are seeking a candidate with the following qualifications/experience:
**A PhD and relevant research experience in cognitive neuroscience, computational neuroscience, brain network modeling, biostatistics, bioinformatics, or related fields.
**Experimental paradigm design/implementation (e.g., E-Prime, Presentation, PsychoPy, etc.), Psychophysiological experimentation (e.g., Startle-blink, skin conductance, etc.)
**Neuroimaging analyses (e.g., GLM, MVPA, ICA, functional and anatomical connectivity/morphometry) using both BOLD and ASL.
**Computational methods and programming/scripting skills used in neuroimaging (e.g., Matlab, C/C++, Python, AFNI, FSL, SPM, Freesurfer).
**Exceptional skills in experimental design, quantitative methods, statistical modeling, and the ability to carry out independent data entry and statistical analyses using standard software packages (e.g., SPSS, SAS, R) are particularly desirable.
**Solid mastery of written English and show evidence of peer-reviewed publications. Candidate must be eligible to work in United States.

We offer a competitive salary that is commensurate on experience plus full benefits. Start date as soon as possible. This is a 1-3 year full-time position that depends upon leveraging future funding and performance. Please email a CV, statement of research interests and relevant background, and names of three referees to David Vago at david.vago@vanderbilt.edu