MICCAI 10 Job Bulletin
Job 1: Assistant/Associate/Full Professors in Computational Medicine
University of Electronic Science and Technology of China (UESTC)-Center for Computational Medicine (CCM), a new joint center with LIAMA, National Laboratory of Pattern Recognition, Institute of Automation of Chinese Academy of Sciences (CASIA), seeks applicants for up to five faculty positions from the assistant to full professor levels in computational medicine, especially in brain imaging and medical image analysis. A 100% research facility located within the Key Laboratory for NeuroInformation of the Ministry of Education, at University of Electronic Science and Technology of China (www.uestc.edu.cn). We specifically seek individuals with expertise in any of the following fields:
magnetic resonance imaging, especially diffusion MRI and functional MRI, EEG/MEG, optical imaging, medical image processing and analysis, pattern recognition.
Candidates with expertise in psychology, cognitive neuroscience, neurology and psychiatry are also welcome. A PhD in a relevant field is required.
The Key Laboratory for NeuroInformation of the Ministry of Education (www.neuro.uestc.edu.cn) at UESTC and LIAMA at CASIA have a long record of excellence, a firm belief in interdisciplinary research that cuts across traditional areas, a commitment to excellence and innovation in research, graduate training, and undergraduate education. Interested individuals are encouraged to contact the CCM director, Professor Tianzi Jiang, for further information and informal enquiry at +86 10 82614469. Applicants should send an e-mail attachment with their full dossiers, including a curriculum vita, statement of research goals, and pertinent preprints and publications to email@example.com or firstname.lastname@example.org for an initial screening.
More information about CCM at CASIA is at www.ccm.org.cn. The search will continue until all the positions are filled.
Position: Medical Imaging Research Scientist
Organization: Siemens Corporate Technology China
Center for Medical Imaging Validation (CMIV) in Siemens Corporate Technology China has an immediate opening for a "Research Scientist". CMIV is located in Beijing and is a joint research team of Siemens Corporate Research, US and Siemens Corporate Technology China. CMIV is developing an innovative Advanced Validation Workspace that integrates, analyzes and reports on complex data from medical imaging applications, and turning it into insight that is used to deliver the highest quality of applications possible.
The successful candidate will be responsible for developing innovative technology for a variety of applications in medical image processing/analysis and medical imaging, with an emphasis on validation methods and tools for medical imaging applications.
- The ideal candidate should have a doctoral or master degree in EE, CS, or BME, with strong R&D experience in the fields of image processing, image analysis, computer vision, and computer graphics, Strong programming skill in C/C++ or Java is required.
- Expertise in ITK, VTK, OpenGL or Open Inventor is preferable.
- Working experience in developing medical imaging applications is highly desirable (segmentation, registration, PACS, etc.). Good communication skills in English and Chinese are required.
- Doctoral degree with 1 year experience minimum or master degree with 3 years experience minimum
Qualified applicants may submit their resume via email to "email@example.com". Only candidates being considered will be contacted.
Position: Graduate Research Assistant Positions in Medical Image Analysis
Several graduate research assistant positions are available in IDEA lab (https://www.med.unc.edu/bric/ideagroup), UNC-Chapel Hill, NC.
Segmentation: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image feature extraction, shape representation, and shape statistics. Experience on medical image segmentation using deformable surface, level sets, and graph cut is highly desirable. People with machine learning background on image features and shape statistics are particularly encouraged to apply. Strong knowledge on programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of deformable segmentation and registration methods for serial CT images of prostate acquired during the radiotherapy of prostate cancer.
Registration: The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image matching. Experience on medical image registration is highly desirable. People with machine learning background are particularly encouraged to apply. Strong knowledge on neuroscience and programming (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of various methods for deformable registration of a set of images, or a set of serial (4D) images from different subjects.
The successful candidates will be part of a diverse group including radiologists, psychologists, physicists, biostatistician, and computer scientists, and will build upon the group's previous work on medical image analysis. If interested, please email resume to Dr. Dinggang Shen (firstname.lastname@example.org).
Philips Research North America
Several openings are currently available at Philips Research North America, Biomedical research scientist, Ultrasound scientist, clinical research scientist, etc.
Philips Research is a global research organization with laboratories in Europe, North America and Asia and is the source of many advanced developments in Healthcare, Lifestyle and Lighting. Building on 90 years’ experience in industrial research and our world-leading patent position, we’re dedicated to meaningful innovations. In the healthcare domain, we are enhancing imaging and monitoring systems, as well as exploring innovative personal healthcare. Philips Research North America (PRNA) focuses significantly on healthcare systems, apart from other things. We are located on a 100-acre campus overlooking the Hudson River, about an hour north of New York City. Our vision focuses on simplicity, making technology an integral – but invisible – part of everyday life.
Please contact Ameet Jain (ameet.jain at philips.com) during the conference if you are interested or have any questions.
Siemens Corporate Research (SCR), Princeton, NJ (USA) is Siemens’ largest research center outside of Europe. With more than 250 scientists, engineers, and technical experts, the company helps its customers and strategic partners grow their businesses in the fields of healthcare, energy, and industry. SCR offers a stimulating research environment and rewarding career opportunities.
The Medical Imaging Department of Siemens Corporate Research (SCR), has an immediate opening for a Research Scientist in the general field of Medical Image Analysis with a focus on Neuro-imaging.
Ideal candidates will have a strong theoretical and applied background in computer vision, machine learning, pattern recognition, statistical methods, and numerical methods. The candidates will have extensive knowledge and experience in fMRI Analysis, Diffusion MRI (HARDI reconstruction, Tractography, Connectivity). The candidates will have a Ph.D. in CS/EE/Applied Math/Statistics with a proven record in neuro-imaging research, innovative thinking, real world problem solving, and fast prototyping. Experience with C++ and Matlab programming is required.
Candidates with solid background in medical image analysis, and the desire and ability to learn new technologies and apply them to challenging problems will find a stimulating and rewarding career at SCR.
Mariappan S. Nadar, (email: Mariappan.Nadar@siemens.com)
Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.EOE/AA/MFDV
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