This section contains a list of job opportunities for imaging researchers. If you would like to post a job advertisement, please email the information to firstname.lastname@example.org. The BME department also maintains a list of job opportunities.
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Position description: The Computational Radiology Laboratory (CRL) at Boston Children’s Hospital invites applications for post-doctoral research fellowships to develop techniques for the analysis of brain development in projects funded by the National Institutes of Health.
The researchers will develop highly innovative machine learning and image processing techniques and tools in C++ to analyze images, correct for motion and distortion, and reconstruct high-resolution images of the developing brain using in-vivo MRI and diffusion-weighted MRI. In these exciting and high-impact projects, researchers will work closely with neurologists, radiologists, and MR physicists, will receive mentorship from an expert team of principal investigators, and will attend courses and seminars offered at Boston Children’s Hospital, Harvard Medical School, and Harvard Catalyst, in addition to major conferences.
About CRL: The mission of CRL is improving our understanding of the structure and function of the brain and other organs of the human body, in order to improve our capacity to diagnose and treat disease. CRL is located at Boston Children’s Hospital (BCH), which is ranked #1 in US News ranking of pediatric hospitals. Researchers at CRL are affiliated with Harvard Medical School which is ranked #1 in US News ranking of medical schools. Boston is known as a hub for healthcare and medical innovations. Opportunities for cross-training and networking are enormous with several top-rank universities (Harvard, MIT, Northeastern, and Boston University), top-rank hospitals and medical research centers, and biotechnology and pharmaceutical companies in the neighborhood.
Highly desired qualifications:
To apply: Please send your CV along with a copy of a technical paper, the desired start date, and a brief statement of goals to Dr. Ali Gholipour at: email@example.com
Computational Radiology Laboratory, Boston, Massachusetts, USA; http://crl.med.harvard.edu/
The Department of Radiology at UC Davis invites applications for a postdoctoral research position focusing on the development and optimization of computational techniques for biomedical image analysis. Specific projects will involve image segmentation, registration, and visualization spanning preclinical and clinical data. The successful candidate will have a Ph.D. in the Engineering or Medical Physics fields and a strong background in both the theoretical aspects and practical implementation of algorithms for image analysis, as evidenced by first author journal papers and conference abstracts. Experience in the validation of image processing methods, atlas-based image analysis, MRI reconstruction, and inverse problems are highly desirable. Ability to communicate and collaborate with an interdisciplinary group of clinicians and scientists is necessary. Both fresh Ph.D. and more experienced candidates will be considered.
UC Davis offers outstanding research and training opportunities for the successful candidate. The infrastructure consists of a range of preclinical and clinical imaging systems, and access to high performance computing resources. There are established collaborations with the Center for Molecular and Genomic Imaging and the Departments of Medicine, Surgery, Pathology, Oncology, Physical Medicine and Rehabilitation, Mechanical Engineering and Biomedical Engineering. UC Davis is ranked 9th among U.S. public universities (U.S. World and News Report). The university is located in Northern California, within easy reach of Lake Tahoe, San Francisco, Napa Valley, Yosemite and the Northern California coast.
Interested candidates should contact Dr. Abhijit J. Chaudhari by email at firstname.lastname@example.org with “Postdoc position in Image Analysis” in the subject line. Applicants must attach a detailed CV, and contact information for at least two referees. More information about the research group is here: http://bme.ucdavis.edu/chaudhari/
The Stanford Cancer Imaging Training (SCIT) Program is currently recruiting postdoctoral fellows.
More information can be found at:
Available Immediately: The Translational Research Center for TBI and Stress Disorders (TRACTS) at VA Boston Healthcare invites applications for a research assistant position in magnetic resonance imaging (MRI) of brain structure and function (diffusion tensor imaging; arterial spin labeling perfusion; functional connectivity) and positron emission tomography (PET) of dopamine receptor mapping in individuals with a history of binge drinking. The research assistant position will involve supporting several aspects of the study including (but not limited to) participant enrollment, characterization, and testing, operation of the MRI and PET scanners, data management, organization, processing and analysis.
Individuals with training in computer science, biomedical engineering, neuroscience, psychology, or related fields are welcome. Individuals with prior experience in brain imaging research and use of brain imaging software (FSL/Freesurfer/AFNI/SPM) preferred. It is additionally expected that the individual will devote time to training to learn image processing and analysis procedures while in this position. The ideal candidate will have strong expertise in Unix/Linux operating systems, MATLAB, shell scripting, some knowledge of statistics, and some prior experience in brain imaging research. This position requires a minimum of a two year commitment (with opportunity for a longer position), and is available beginning immediately. Salary will be consistent with levels in accordance with the Boston VA Medical Center policies for research assistants. Compensation includes full staff benefits, including health insurance, and vacation time.
To apply or request more information, please send a resume and contact information for three references to Dr. Regina McGlinchey (Regina_McGlinchey@hms.harvard.edu) with the subject line "TRACTS RA position".
Available Immediately: The Translational Research Center for TBI and Stress Disorders (TRACTS) at VA Boston Healthcare invites applications for a Postdoctoral Fellow position in magnetic resonance imaging (MRI) of brain structure and function (diffusion tensor imaging; arterial spin labeling perfusion; functional connectivity) and positron emission tomography (PET) of dopamine receptor mapping in individuals with a history of binge drinking. The postdoctoral fellow will have a major role in the primary research project including management of the technical/imaging aspects of the study. The fellow will contribute to all aspects of the work including (but not limited to) participant enrollment, characterization, and testing, operation of the MRI and PET scanners, data management, organization, processing and analysis, manuscript preparation and publication.
Individuals with training in computer science, biomedical engineering, neuroscience, psychology, or related fields are welcome. Prior experience in brain imaging research and use of brain imaging software (FSL/Freesurfer/AFNI/SPM) is required. It is additionally expected that the individual will devote time to training to learn image processing and analysis procedures while in this position. The ideal candidate will have strong expertise in Unix/Linux operating systems, MATLAB, shell scripting, and statistics, and strong prior experience in brain imaging research. This position requires a minimum of a two year commitment (with opportunity for a longer position), and is available beginning immediately. Salary will be consistent with levels in accordance with the Boston VA Medical Center policies for research assistants. Compensation includes full staff benefits, including health insurance, and vacation time.
To apply or request more information, please send a resume and contact information for three references to Dr. Regina McGlinchey (Regina_McGlinchey@hms.harvard.edu) with the subject line "TRACTS Postdoc position".
The Johns Hopkins University School of Medicine, Department of Psychiatry and Behavioral Sciences, Division of Psychiatric Neuroimaging (PI: Arnold Bakker, Ph.D.) has a vacancy for 1-2 postdoctoral scholars to perform federally-funded research in the areas of learning and memory, aging, dementia and depression using human functional neuroimaging methods. As part of the research team, the candidate will be responsible for the design and implementation of behavioral and imaging experiments aimed at assessing learning and memory performance, or the effects of depression on learning and memory and cognition, broadly in both young and older adults and in individuals with memory complaints or mild cognitive impairment. Our studies focus primarily on the role of the medial temporal lobe and particularly the hippocampus in memory function, age- and disease-related memory impairment and neuropsychiatric conditions. We are also interested in neural network approaches to learning and memory, cognitive aging and intervention using studies of resting state activity and functional connectivity.
The Division of Psychiatric Neuroimaging is affiliated with the Johns Hopkins Alzheimer’s Disease Research Center (JHADRC), the Division of Geriatric Psychiatryand Neuropsychiatry, the Kirby Center for Brain Imaging, the Center for Imaging Science (CIS) and the HOPE4MCI study. These affiliations and the Johns Hopkins community in general provide a rich and unique environment for collaboration and education for candidates interested in learning and memory in aging and disease, and neuropsychiatry.
The successful candidate will have a strong background in cognitive neuroscience and will have significant experience with functional MRI, as well as a background in learning and memory. A Ph.D. in Neuroscience, Cognitive Science or Psychology is required. The successful candidate should also have excellent writing and communication skills and be willing to learn new MRI analysis methods. Salary will be dependent on the experience of the individual candidate.
To be considered, please send a letter of interest including a brief description of research interests, a curriculum vitae including a record of research accomplishments, and the names of three professional references to Dr. Arnold Bakker (email@example.com).
Data and image analyst position at CBICA-SBIA, UPENN
A full-time data and image analyst position is available at the Center for Biomedical Image Computing and Analytics, Section for Biomedical Image Analysis (CBICA-SBIA). The Center for Biomedical Image Computing and Analytics (http://www.cbica.upenn.edu) has been a dynamically growing medical image analysis group, including several laboratories and many collaborators from diverse fields.
We are looking for highly motivated candidates with a Master's Degree in Biomedical Informatics, Bioinformatics, Computational Biology or a related field. The work will involve applying, testing and extending image processing algorithms and protocols on magnetic resonance brain images, performing data analysis, as well as communicating with clinical collaborators. Projects include computational neuroanatomy of aging and neurodegenerative diseases.
Experience with medical images is a plus. Strong computer skills (knowledge of Python and/or Matlab, statistical analysis packages, basic shell scripting, experience in Unix platform) will be preferred.
Interested candidates should send a cover letter and a CV to "firstname.lastname@example.org"<mailto:email@example.com>
We are looking for a talented individual to work on a large-scale neuroimaging project funded by the Indiana CTSI. The project aims at applying cutting-edge neuroimaging and connectomics methods (Pestilli et al., Nature Methods 2014; Mišić et al., Neuron 2015) on the latest generation of data from the Indiana Alzheimer Disease Center. The project is a collaboration between groups at Indiana University Bloomington (Franco Pestilli and Olaf Sporns), Indiana University School of Medicine, Indianapolis (Andrew Saykin, Li Shen, and Yu-Chien, Wu) and Purdue University, Lafayette (Joaquin Goñi). The team has strong expertise in aging and Alzheimer’s disease, imaging genetics, network science, magnetic resonance imaging measurements and computational modeling.
The ideal candidate will have a PhD in Computer Science, Engineering, Neuroscience, Informatics or Cognitive Science. Strong programming skills (e.g., in Python, MATLAB, or C/C++) and previous background in neuroimaging, computational modeling, or machine learning will be highly valued. The project will involve developing and publishing software products as well as contributing to ongoing software projects such as: https://francopestilli.github.io/life and https://sites.google.com/site/bctnet/.
Preference will be given to candidates demonstrating successful productivity by means of scientific articles and software publishing. Interested candidates should send CV, statement of research interests, and names of three references to Dr. Franco Pestilli firstname.lastname@example.org. Review of the applications will start immediately and continue until the position is filled. Dr. Pestilli and Professor Sporns will be available at SfN in Chicago for informal meetings with potential candidates.
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, national origin, disability status or protected veteran status.
A recent Johns Hopkins BME alumnus, Alan Huang, has alerted us to a big pool of openings for Ph.D.-level imaging and data scientists at Philips. Here are some of the job titles for currently open positions (with Job IDs):
Bioinformatics Scientist - Next Generation Sequencing (144757)
Clinical Informatics Research Scientist (062971)
Research Scientist - Cardiology Medical Imaging Informatics (129829)
Machine Learning Scientist (137372)
Clinical Imaging Informatics Scientist - Machine Learning (144761)
Clinical Informatics Research Scientist (154338)
Business/Data Analytics Solutions Scientist (144758)
Image Guided Interventions Systems Scientist (144764)
To check out the descriptions for these, enter the Job ID(s) into the Careers Search: https://philips.taleo.net/careersection/2/moresearch.ftl
Additionally, these opportunities and others aggregated on the EDGE Job Opportunities page: http://www.edge.bme.jhu.edu/#!jobs-list/c19bu
The Stanford Cancer Imaging Training (SCIT) Program is currently recruiting postdoctoral fellows.
We would appreciate it if you could forward this information on to your graduate students and postdoctoral fellows.
More information can be found at:
SCIT Program: http://scitprogram.stanford.edu/
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