Jie Han [Only registered and activated users can see links. ]

Immediate opportunities for graduate students are available. Please contact me for details.

Research

Reliability and fault tolerance
Nanoelectronic circuits and systems
Novel nanocomputing architectures

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Tớ mở thread này để post các cơ hội nhận funding cho PhD position in databases mà tớ đọc được ở DBworld mailing list. Bạn nào quan tâm thì cứ tự đọc và tìm hiểu.

University of Maine
Department of Spatial Information Science and Engineering
National Center for Geographic Information and Analysis


Two funded research assistantships for PhD students
There are currently available two funded research assistantships in the Department of Spatial Information Science and Engineering, University of Maine, USA. Students will be working with advisor Prof. Mike Worboys. Students will register for the degree of PhD. The funding will cover a stipend, tuition expenses, and a contribution to health insurance.
The first position relates to a recent project funded by the US National Science Foundation entitled "Information integration and human interaction for indoor and outdoor spaces". The project abstract may be found at [Only registered and activated users can see links. ].
The second position relates to recent funding received on the use of spatial information systems and sensor technologies in emergency management.
The main focus of both assistantships will be the creation of underlying models and fundamental theories.
Candidates for either position should hold a master’s degree, or equivalent, in a subject that can be applied to spatial information systems and geographic information science (e.g., computer science, information systems, mathematics, or geography). The positions are available to be taken up immediately, but we are prepared also to wait for as long as it takes for the right candidates. Further information can be obtained by emailing Mike at [Only registered and activated users can see links. ]. The Department’s website is at [Only registered and activated users can see links. ]
The University of Maine is an Equal Opportunity/Affirmative Action Employer.

Funded PhD Studentship at the Clique Research Cluster,
Digital Enterprise Research Institute (DERI), NUI Galway, Ireland

At the Clique Research Cluster ([Only registered and activated users can see links. ]), we are
investigating and analysing how very large real-life social networks,
biological networks and other networks of interest evolve. Some areas
we are interested in include:
- Analysing how communities in these networks form and change with time;
- Analysing how information and innovation diffuses and formulating
models to describe the observed diffusion behaviour;
- Analysing churn in online communities and mobile call networks.

We are seeking applications for a PhD candidature in dynamic graph
analysis. The successful candidate will analyse how particular
properties of the networks change, and use network changes to detect
abnormal underlying events or to predict how information diffusion is enhanced or
hampered. The successful candidate should have a bachelors degree in
computer science, maths, science or engineering, and have the
pre-requisites for PhD studies at NUI Galway ([Only registered and activated users can see links. ]).
The PhD studentship covers academic fees and includes a generous stipend
for a four year period.

In addition, desired, though not necessary, requirements are:
- Familiarity with basic graph theory (e.g., finding connected components, shortest paths);
- Familiarity with modelling and simulation
- Familiarity with social network analysis;
- Familiarity with dynamic data analysis (e.g., data streaming algorithms, incremental algorithms);
- Familiarity with text mining, feature extraction and machine learning
- Masters or equivalent degree in graph analysis, modelling or social network analysis.

The successful candidate will work with the PI Dr. Conor Hayes and Dr.
Jeffrey Chan as part of the Clique Research Cluster at DERI, NUI Galway.
Interested applicants should send an application with the subject
header CLIQUE_PhD_09 to [Only registered and activated users can see links. ]. The application should
contain a CV, a one page statement explaining how the candidate's
background is compatible with the aims of the Clique Research Cluster
and a list of references.

Several postdoctoral / research assistant (RA) positions are available in IDEA lab ([Only registered and activated users can see links. ]), UNC-Chapel Hill, NC.


Position 1 (One Postdoctoral Position on Breast MRI Analysis): The successful candidate will be expected to develop novel enhancement segmentation and classification methods for significantly improving the specificity of dynamic MRI in detecting and diagnosing breast cancer. Both a spatiotemporal registration method and an enhancement segmentation method will be developed. Also, a novel enhancement classification method for differentiating between benign and malignant enhancements for both mass and non-mass enhancement cases will be developed.
The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image registration, segmentation, and classification. Experiences on deformable registration, adaptive segmentation (i.e., graph cut), and non-linear classification are highly desirable.

Position 2 (Two Postdoctoral / RA Positions on Brain Image Segmentation and Surface Labeling): The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image processing and pattern recognition. Experience on medical image segmentation and analysis is highly desirable. People with machine learning background are particularly encouraged to apply. Knowledge on neuroscience and programming background (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of methods for atlas-based tissue segmentation (of neonatal brain images) and cortical surface labeling of brain images.

Position 3 (One Postdoctoral / RA Position on Deformable 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 statistical deformable segmentation methods for lung, liver, prostate, and brain.

Position 4 (Two Postdoctoral / RA Positions on Brain Image Registration): The successful candidate should have a strong background on Electrical or Biomedical Engineering, or Computer Science, preferably with emphasis on image analysis, or computer vision. Experience on medical image registration and analysis is highly desirable. People with machine learning background are particularly encouraged to apply. Knowledge on neuroscience and programming background (good command of LINUX, C and C++, scripting, and Matlab) are desirable. The research topic will be the development and validation of 3D, 4D, and group-wise image registration methods for brain image analysis.

Position 5 (One Postdoctoral Position on Brain Network Analysis): Applications are invited for a postdoctoral fellowship to develop and apply network analysis methods on brain MR images, e.g., structural MRI, functional MRI, and DTI. Candidates should have a doctoral degree in Biomedical Engineering, Computer Science, Mathematics, or related field; excellent interpersonal, organizational, and oral and written English communication skills.

Position 6 (One Postdoctoral / RA Position on Multivariate Multimodality Analysis): The successful candidate should have a strong background on Electronic Engineering, Biomedical Engineering, Statistics, or Computer Science, preferably with emphasis on data mining, multivariate image analysis, pattern classification, Bayesian methods, or computer vision. Experience on data mining with applications in neuroimage analysis is highly desirable. People with machine learning and statistics background are particularly encouraged to apply.
Position 7 (Programmer / Data Analyst): A programmer / data analyst position is available in Biomedical Research Imaging Center (BRIC) at UNC Chapel Hill ([Only registered and activated users can see links. ]), for conducting biomedical image analysis research. The successful applicant will be trained to work broadly in biomedical image analysis field, and to help integrate various software packages developed in the research labs. This position needs to work with a multidisciplinary team on biomedical imaging.
The successful applicant must have a master degree in computer science or related engineering fields. He/She must be strong in programming, and familiar with C/C++, Matlab, ITK/VTK, and SPM. Experience with Linux is highly desired. Knowledge on biomedical imaging, computer vision, pattern recognition, and image processing is very helpful.

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 (dgshen@med.unc.edu).

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Stay hungry, never foolish - Hãy cứ khát khao, nhưng chớ dại khờ

Info for Graduate Student Applicants
Thank you for your interest in my research group. Please apply to our graduate program. You may find admissions information at

[Only registered and activated users can see links. ]
[Only registered and activated users can see links. ]
[Only registered and activated users can see links. ]

I am planning to admit a couple of new graduate students in Fall 2010. My new $2.8 million NSF grant will support several research assistants for a period of five years.

Your application is considered most favorably if you have strong programming skills and have published a paper in computer vision, HCI, medical imaging, or a related field.

I am looking forward to receiving your application. I will make admissions decisions for Fall 2010 in early 2010.

Sincerely,
Margrit Betke

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Prof. Margrit Betke
Computer Science Department
Boston University
111 Cummington Street
Boston, MA 02215

Email: [Only registered and activated users can see links. ]
URL: [Only registered and activated users can see links. ]