Job Postings
Click the links below for job posting details:
- The Maryland Psychiatric Research Center
Research Assistant Positions in clinical cognitive neuroscience at the Maryland Psychiatric Research Center
Up to three research assistant positions are available in the laboratory of Dr. James Gold to work on studies of the nature of cognitive and affective disturbances in schizophrenia. We use behavioral, ERP, and fMRI methods. Previous experience with experimental task programming, image analysis, or working with people with schizophrenia experience is desirable. Ongoing NIMH supported projects include work on attention and working memory (in collaboration with Steve Luck), cognitive measure development and validation with fMRI (in collaboration with Cam Carter, Deanna Barch, Angus MacDonald, Dan Ragland, Charan Ranganath), reward processing ( in collaboration with Michael Frank, James Waltz, Elliot Stein). Positions offer opportunities to be involved with both basic cognitive neuroscience method development and applications with clinical populations.
Please send CV and letter of support to jgold@mprc.umaryland.edu. Formal applications should also be submitted through U. Maryland Baltimore HR website : http:// www.hr.umaryland.edu/careers/....for Research Assistant, Clinical requisition #s 5447, 5445 - The University of South Carolina
Two post-doctoral fellowships in visual cognition
Two post-doctoral research positions are available in John Henderson's Visual Cognition Lab at the University of South Carolina. The lab houses state-of-the-art eyetracking facilities including two SR Research Eyelink 2000 eyetrackers, one interfaced with the Psychology Department's 3T Siemens Trio MRI scanner. One of the two positions focuses on attention in high-level vision and visual cognition using eyetracking as the primary measure. The other position will investigate neural correlates of attention and visual cognition using fMRI. This work will also involve recording eye movements in the scanner.
Candidates with a PhD in any of the cognitive sciences broadly defined (e.g., Psychology, Neuroscience, Computer Science, or a related field) are encouraged to apply. For the fMRI post-doc, experience with fMRI experimental design, data collection, and data analysis is necessary, and working knowledge of Matlab is highly desirable. For the behavioral position, programming skills (Matlab or C) and/or familiarity with eyetracking data analysis methods are desirable. Salary will be at NIH post-doctoral rates and commensurate with experience. Initial appointments will be for one or two years with opportunity for extension to three years.
The University of South Carolina is an affirmative action, equal opportunity employer. Women and minorities are encouraged to apply. The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation or veteran status.
Informal enquiries and formal applications should be addressed to John Henderson (jhenderson.psy@gmail.com). Formal applications should include CV, publication list, brief statement of research interests, and three letters of reference. The positions are available immediately but start date is flexible. Applications will be assessed as they arrive. - Brigham & Women's Hospital
Positions available in the Center for Advanced Medical Imaging (CAMI), Brigham & Women's Hospital, Boston, MA
Project Key Idea:
We are looking for people to lead and/or execute CAMI research projects that can translate an understanding of visual perception and attention into improved performance in Radiology.
What is the main motivation for this project?
Radiologists perform difficult perceptual tasks in order to interpret medical images, detect disease and render an expert opinion to guide medical management. In spite of extensive training, performance on these tasks is not good as would be hoped. Our belief is that there is room for improvement in the stimuli that are presented to radiologists and ways in which those stimuli are used. Moreover, we believe that by bringing radiology tasks into the lab, we can address interesting and important questions in basic vision science.
What might be an example?
Radiologists sometimes assert that they can sense the presence of a problem (e.g. breast cancer) in an image in their first glance at that image - even if they cannot immediately localize that lesion. We have found that this is a reliable phenomenon. Radiologists can indeed classify breast images as normal or abnormal at above chance levels after 250 msec exposure even when the subtle signs of disease are not salient in the image. Apparently, there is some global/statistical signal in the images. We would like to identify that signal. If we could identify a candidate signal, we would want to conduct psychophysical experiments to test that hypothesis. We would like to design displays that drew a radiologist's attention to the presence of this signal and we would want to determine of that intervention improved performance.
What would success look like?
Success for a CAMI project could take any of several forms. A successful project could produce publishable results in the basic, applied, or clinical literature. It could give rise to changes in the practice of radiology that improved performance. It could lead to a program of further research that attracts extramural funding.
Who might contribute?
We are looking for people who believe that they could make a contribution at this interface between medicine and behavioral research. At the present time, we would consider hiring college graduates with appropriate skills, current graduate students, or post-doctoral fellows. This could include Radiologists seeking a non-clinical fellowship for a year or two.
Appropriate individuals would have some of the following:
Strong programming skills (e.g. Matlab, Javascript,Java,C,C++)
Background in image processing (e.g. jpegs, Photoshop, digital images)
Familiarity with medical imaging (e.g. CT,MRI, DICOM, PACS)
Experience in human behavioral research
Experience in some aspect of radiology (e.g. MD, previous employment in the field)
Background in some aspect of vision science (e.g. psychophysics, computer vision)
Interested?
Send a resume and a letter describing your interest to Karla Evans kevans@search.bwh.harvard.edu - Harvard Medical School, Massachusetts General Hospital
IMMEDIATE POSTDOCTORAL RESEARCH POSITIONS TO STUDY THE COGNITIVE NEUROSCIENCE OF PREDICTIONS IN VISUAL COGNITION.
Harvard Medical School, Massachusetts General Hospital.
If your are fluent in fMRI and/or have been doing research very related to ours, and are looking for a Postdoctoral position to start soon, come join our team in Dr. Moshe Bar's laboratory at the Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School. Research in the lab focuses on issues in high-level vision with an emphasis on object recognition, contextual associations and the mechanisms of predictions in cognition. See http://barlab.mgh.harvard.edu for more information about our research involves functional neuroimaging (fMRI), possibly combined with high- temporal resolution imaging (MEG). Experience in either technique is a must. Some acquaintance with UNIX, Linux, Macs and Matlab would facilitate a smooth start. The position would give the holder experience of research in a variety of topics in cognitive neuroscience, as well as an extensive training in using some of the best neuroimaging design and analysis tools available. A minimum commitment of two years would be necessary.
Please email a curriculum vitae, description of research experience, and a statement of goals and interests to: Professor Moshe Bar, bar@nmr.mgh.harvard.edu (Three letters of recommendation may required at a later stage of the screening.) Only relevant applications will receive a response. Inquiries are welcome.
The Massachusetts General Hospital is an Equal Opportunity/Affirmative Action Employer.
- University of Western Australia, ARC Center for Cognition and Disorders