DoD-Supported Pre- and Postdoctoral Fellow in Deep Learning, Realtime Video Analytics (available) NIH-Supported Pre- and Postdoctoral Fellow in Biomedical Volume Analysis and Visualization (available)
Single and collective aerial drone-based multi-domain, multi-spectral, multi-view imaging combined with breakthroughs in deep learning based vision and emerging computer architectures for parallel processing is creating a host of research opportunities for developing new classes of algorithms for fast large-scale image mosaicing, 3D video stabilization, georegistration, geolocalization, object recognition, 3D reconstruction and segmentation, multi-object tracking, and multi-dimensional visualization. These common computer vision, image analysis and visualization applications are shared across multiple domains and disciplines ranging from self-driving cars, robots and autonomous drones to privacy in social media. In our case several NSF, NIH and DoD funded projects use similar learnig, video analytics, computational and visualization approaches.
Desirable/required skills include a doctoral degree in EECS or related field with a solid background in AI, deep learning, computer vision, image analysis, machine learning and computer graphics with excellent programming experience (C++, Python and Matlab) including deep learning frameworks (pyTorch, TensorFlow, Keras), parallel programming (multithreading, OpenMP, CUDA), numerical optimization (Ceres, variational PDEs), multiresolution spatial data structures, OpenGL, Qt GUI design, use of libraries like VTK, ITK, OpenCV, etc. Knowledge of deep neural architectures, multi-object tracking, level-sets, kernel classifiers and pyramid data handling techniques would be highly advantageous.
NIH-Supported Postdoctoral Fellow in Bioimaging Informatics Dept. of EECS University of Missouri-Columbia Columbia, MO 65203
Postdoctoral positions are available to join an ongoing research project in the volumetric segmentation and quantification of 3D vascular structures in blood and lymphatics microvasculature in the dura mater of the brain and ocular tissues, deformable cellular motion in biology, with emphasis on cell tracking and lineage, mitosis, tissue growth and tumor development.
Our research has led to extremely promising algorithms for cell tracking (hundreds of motile cells over hundreds of time-lapse image sequences) with application to high throughput sequencing studies for genome analysis and drug discovery. Quantitative live cell imaging within a biological context offers promising new opportunities to understand cellular and sub-cellular processes that have never been observed before, ranging from the autophagic clustering behavior of cancer cells to microtubule regulation of actin and cell cycle biology. A series of recent papers listed below describe the computational algorithms for tracking deformable motion of biological objects, in particular motile animal cells and embryos. The position at Missouri is primarily computational (with bio-imaging opportunities possible based on candidate interest). The successful candidate for this position will have a strong background in image analysis, computer vision, or computer graphics with an emphasis in active contour and level set based image segmentation, data fusion and object tracking.
Those interested in the computational bioimaging position should contact Prof. Palaniappan (email: palaniappank@missouri.edu, bio) and the Visualization lab . The Univ of Missouri-Columbia has completed a new $60M Life Sciences building and there are many opportunities for collaboration with several life sciences and biomedical imaging experimental groups.
About the University of Missouri-Columbia
The University of Missouri is highly ranked as postdoctoral fellowship
training center and is a leading research university. It one of only
six American universities with the
greatest breadth of academic units on a single campus that includes
engineering, science, mathematics, medicine, business, law, journalism,
agriculture, natural resources, environmental sciences, veterinary
medicine, health sciences, nursing, education, humanities, and liberal arts.
This enables novel collaborations in multidisciplinary research
to be pursued, for example, engineering and medicine.
UMC's current endowment campaign goal is to raise $1 billion by the end
of 2008 - the 26th public university in the nation to have such a
campaign.
The University of Missouri-Columbia (UMC or MU) was established in 1839
as the first public university west of the Mississippi river in the
Louisiana Purchase - territory that was acquired from Napolean in 1803
by US President Thomas Jefferson. UMC is a nonprofit land grant
academic and research institution that is recognized as one of the
leading tier-one research and Carnegie-Doctoral-Research-Extensive
institutions in the country. UMC is the flagship public university in
the state of Missouri with over 21,500 undergraduate and 7,000
graduate and professional students. UMC has been a member of the
Association of American Universities since 1908; the AAU was founded in
1900 and is currently composed of 62 leading research universities in
the US and Canada.
The values embraced by the UMC academic community are
discovery, excellence, respect, and responsibility. In order to
maintain and extend leading accomplishments in teaching, research,
service and economic development (entrepreneurship), it is essential that our staff
members be of the highest merit and ability with outstanding research
and teaching potential.
We encourage applications from anyone regardless of ethnicity, religion, sex, sexual orientation, or nationality. The University of Missouri is an Affirmative Action/ Equal Opportunity/ employer and ADA Institution. To request ADA accommodations, please contact our ADA Coordinator at (573) 884-7278, or send e-mail to adawww@showme.missouri.edu.
Ongoing Postdoc Positions. Openings are available for postdoctoral fellowship or visiting research professor positions in video and image analysis, scientific visualization, computer vision, computer graphics and related fields in the Dept. of Computer Science at the Univ. of Missouri-Columbia. Candidates interested in conducting breakthrough research in the following areas are encouraged to apply:
We have some exciting new initiatives with the Air Force Research Lab, National Geospatial-Intelligence Agency, NASA, Naval Research Lab and Boeing in image understanding, data mining, CBIR, data fusion, automatic classification and compression of multispectral remote sensing datasets, collaborative visualization of 3D datasets over high speed networks, etc.
Candidates must have completed a doctoral degree in EECS, Bioengineering or related field. Applicants must have an excellent research record, high potential for publication, strong interest in collaboration, and good communication skills. Salary commensurate with prior experience.
Please send a resume, a statement of research plans (and teaching if appropriate), and three reference letters to:
Dr. K.Palaniappan
Dept. of Electrical Engineering & Computer Science
205 Naka Hall
University of Missouri-Columbia
Columbia, MO 65211-2060
(573) 884-9266, Fax: (573) 882-8318
email: palaniappank@missouri.edu
http://cell.missouri.edu
The University of Missouri is an Affirmative Action/ Equal Opportunity/ employer and ADA Institution. To request ADA accommodations, please contact our ADA Coordinator at (573) 884-7278, or send e-mail to adawww@showme.missouri.edu.
Updated Jan 7, 2022