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National University of Singapore
Funded PhD and postdoc positions in NUS Singapore  
  Posted Tuesday, September 19, 2017

The Decision Lab in the Department of Psychology and Graduate School for Integrative Sciences and Engineering (NGS), National University of Singapore ( has openings for two postdocs (funded by the MOE Tier 2) and three PhD students (funded by NGS).

Primary responsibilities for postdocs involve data analyses and manuscript preparation for studies using EEG/fMRI to investigate decision making. Essential qualifications for postdocs: PhD in neuroscience, psychology, or related field. Prior experience with EEG/fMRI data analysis is required. The successful candidate also should have strong writing skills and the ability to work independently as well as collaboratively. The start date is flexible. Review of applications will begin immediately and continue until the position is filled. The salary is highly competitive for strong candidates.

Essential qualifications for PhD candidates: background in psychology or related field. Strong interest in research in social psychology or neuroimaging. Please send inquiries and CVs to Dr. Rongjun Yu (


Rongjun Yu
National University of Singapore

Research Associate  
  Posted Friday, June 16, 2017

Research Associate Position Currently Available  

Perinatal Institute

The multidisciplinary team in the laboratory of Nehal Parikh, DO, MS is seeking a creative and highly motivated individual with solid training in image processing, computer science, and/or neuroscience to conduct research to develop advanced MRI (diffusion, functional) biomarkers in high-risk neonates and infants. The lab’s research goals are to: 1) develop prognostic biomarkers of neurodevelopmental impairments (e.g., intellectual impairments, learning disabilities, autism) using advanced statistical approaches (e.g. machine learning); and 2) develop neuroprotective therapies in high-risk newborns. Programming expertise in Matlab, C/C++ and in UNIX environment preferred. The work promises to be challenging and presents a highly exciting opportunity to work on two NIH R01 projects.


Qualifications: Qualified applicants will have a PhD and post-doctoral experience with peer-reviewed research publications and expertise in image processing, biomedical engineering, machine learning, and/or neuroscience, and highly motivated to work in the areas of neuroimaging, brain development, and/or computational sciences as it relates to newborns and infants.  

Please submit your application to Dr. Sivaprasad with the following information: A cover letter, a statement of interest, and a CV with contact details for 3 referees. 

Contact: Uma Sivaprasad, PhD; Scientist Recruiter, HR                               Email:


Cincinnati Children’s Research Foundation

Cincinnati Children’ s Hospital Medical Center (CCHMC) is a premier pediatric research institution with over 900 diverse and productive faculty members. Here, researchers work collaboratively across specialties and divisions to address some of the biggest challenges we face today in improving child health. A strong network of research support services and facilities, along with institutional commitment to research, push our team of faculty, postdocs and support staff to explore the boundaries of what is possible, leading to significant breakthroughs. We are driven by our mission to improve child health and transform the delivery of care through fully integrated, globally recognized research, education and innovation.

Post-doctoral research fellows at Cincinnati Children’s are valued for their unique interests and strengths, and are supported by our institution’s strong programming for post-docs through the Office of Postdoctoral Affairs and the Office of Academic Affairs and Career Development. Mentoring, support for international students and an emphasis on crafting high-quality grant proposals are only a few of the features that set our program apart. Cincinnati Children’s is a respected part of the broader, and very vibrant, Cincinnati community. With a thriving arts scene, numerous festivals celebrating music and food, a passionate fan following for our college and professional sports teams, and a variety of opportunities for outdoor activities, our region is truly a great place to work and live.

Please visit our website for more information about Postdoctoral Research at CCHMC:

To apply online go to: and search for job (requisition) number 93066.

Cincinnati Children’s Hospital Medical Center is an AffirmativeAction/Equal Opportunity Institution



Uma Sivaprasad, Scientist Recruiter 
Phone: 6142640196 ext. 2640196
Fax: 6142640196

University of North Carolina at Chapel Hill
Postdoctoral Research Associate  
  Posted Thursday, April 13, 2017

Dr. Gabriel Dichter’s Clinical Affective Neuroscience laboratory at UNC-Chapel Hill, in close collaboration with Dr. Moria Smoski’s clinical psychology lab at Duke University Medical Center, is currently accepting applications for a postdoctoral research fellow and/or research associate to advance research evaluating a novel transdiagnostic anhedonia treatment using functional magnetic resonance imaging (fMRI) in samples with clinically impairing anhedonia. The primary duties of the postdoctoral research fellow will be to collect and analyze fMRI data associated with a new NIMH experimental therapeutics trial. The postdoctoral research associate will work with project investigators to select and evaluate optimal pulse sequences, run quality assurances on fMRI data, collect fMRI data from outpatient study participants,
conduct task-based fMRI activation and connectivity analyses, including motion detection and correction, pre-processing, post-processing, and integration with behavioral measures under the supervision of the project PIs. The postdoctoral research fellow will also assist with other aspects of the study, including but not limited to collecting behavioral and clinical data. The postdoctoral research fellow will have the opportunity to present study results at conferences and in publications. The postdoctoral research associate will also assist with submitting data for sharing to NIMH though the NIMH RDoCdb portal and will assist with all aspects of study regulatory compliance, including IRB protocol and submissions and modifications and NIMH Recruitment Milestones Reporting (RMR) submissions.

Applicants should have (or anticipate having) a Ph.D. and research background in Cognitive Neuroscience and Clinical Psychology. Individuals with backgrounds similar fields and a strong interest/background in Clinical Psychology and human neuroimaging are also encouraged to apply. Applicants should be experienced at designing and implementing cognitive neuroscience experiments. Preferences given to candidates who have experience with conducting fMRI studies, working with MRI scanners, processing MRI and fMRI datasets, and running neuroimaging data analysis using software packages, such as FSL, Matlab, SPM, E-Prime, and AFNI. Applicants should also possess strong interpersonal skills, have experience working with clinical populations, and be able to work independently with minimal supervision.

The postdoctoral fellow will be responsible for conducting ongoing imaging projects, analyzing neuroimaging data, as well as planning and conducting future studies. Duties will also include manuscript preparation, and management of research assistants. The most successful applicants will have a demonstrated interest in pursuing publication and grant opportunities. Facilities include research-dedicated 3T and 7T full-bore MR scanners as well as eyetracking and ERP equipment.


Lori Durham
University of North Carolina at Chapel Hill

Dalhousie University
PhD Student Positions in Brain Networks (Canada)  
  Posted Thursday, November 10, 2016

Applications are invited for two PhD students to join the Brain Networks and Neurophysiology (NetPhys) Lab in Dalhousie University. The degree is multidisciplinary with options of admission through different graduate departments (Physics, Computer Science, Medical Neuroscience, Psychology and Neuroscience).

The NetPhys Lab is dedicated to understanding the behavioral relevance of neural communication in large-scale brain networks. We use pain as our modality for understanding how the brain processes internal and external information to generate perception. We also observe how ongoing mental processes alter pain perception. Our overall goal is to establish the scope and limits as to which we will be able to use brain imaging for predicting complex behavior such as pain. Our core focus is on predictive analytics geared at using multimodal brain imaging data to develop tools that can predict treatment outcomes, especially in chronic pain patients in all ages and across the lifespan. Other projects will study brain networks in altered states of consciousness—such as general anesthesia or mindful-awareness meditation—in multimodal data.

The planned studies will use leading-edge-imaging methods to analyze multimodal data (MEG, EEG, fMRI, DTI and EEG) combined with quantitative data analysis with a special focus on intrinsic and dynamic brain networks. We will use opensource resting and task related data to build new knowledge on brain function. This is thus a unique opportunity to contribute to the scientific models of the brain and to build transferable skills such as use of multimodal brain imaging, machine learning, dynamic connectivity and graph theory based network analysis in predictive analytics.

The student will learn how to use high dimensional data and cognitive neuroscience to develop neuropsychiatric biomarkers.

Applicants should submit a cover letter stating their research interests and current CV (including a list of scholarly publications), along with the names and contact information for three referees to asap.

The NetPhys lab is based in the Department of Anesthesia, Pain Management and Perioperative Medicine at Dalhousie University. Brain imaging projects will be conducted in collaboration with the leading neuroimaging facility in the Canadian Atlantic region ( and The Big Data Institute and with several other departments. You will work in collaboration with neuroscientists, computer scientists and clinical research experts.

Halifax is a port city, rich with culture and history, and is encircled in extraordinary coastal line and landscapes. The city has a bustling academic environment with six major universities located in the city municipality. It offers opportunities to think creatively, learn in a nurturing environment and to explore pristine nature.

We encourage students from all backgrounds including international students, women and minorities to apply.


Follow us @netphys1 and see #NetPhysJC on twitter


The student needs to have demonstrated academic excellence, proficiency in writing code and should have strong analytical skills in processing data (especially time series data), writing code in BASH and in at least one of the following packages: Matlab/Python/R.

Experience in machine learning, computational modelling, mathematical modelling is a big plus. This ideal candidate will have undergraduate or Masters level training in physics, electrical engineering, biomedical engineering, statistics or will have already demonstrated excellence in neuroimaging (fMRI, MEG/EEG).  

We are especially interested in a devoted interest in the brain and motivation to gain expertise in advanced quantitative data analysis.

The successful candidate will be well organized, will demonstrate a thorough and conscientious approach to performing her/his duties, be a compassionate and strong team player and will be able to handle multiple tasks simultaneously.

About Javeria Ali Hashmi
Dr. Hashmi is the Director of the Brain Networks Neurophysiology (NetPhys) Lab and a Canada Research Chair Tier II nominee. Dr. Hashmi was recently awarded a five year Discovery grant from NSERC and is funded by startup funds from Dalhousie University and the Department of Anesthesia, Pain Management and Perioperative Medicine. She is cross appointed to the Department of Psychology and Neuroscience, Department of Medical Neuroscience and the Department of Physics and Atmospheric Sciences at Dalhousie University.


Javeria Ali Hashmi
Dalhousie University
Halifax NS

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