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My collaborators and I have openings at the University of Rochester for two postdoctoral researchers, three PhD students, and one data scientist to study fluid dynamics of brain cerebrospinal fluid, starting 1 June 2022.
The work will focus on fluid flow and transport of solutes, including wastes and nutrients, in the glymphatic system, which circulates cerebrospinal fluid through the brain during sleep. That circulation has important implications for human health: diseases such as Alzheimer's and Parkinson's correlate with accumulation of brain metabolic wastes, and pathologies such as stroke and cardiac arrest involve damaging swelling caused by the inrush of cerebrospinal fluid. Our team will make predictions using direct numerical simulations, develop a brain-wide model of solute transport, and analyze in vivo measurements of mouse and human brains, produced by three teams of neuroscientists involved in the same project.
Please spread the word to strong candidates! Applicants should send a CV and cover letter to d.h.kelley@rochester.edu. More information is below and also here.
—Doug
OPENING: Data Scientist
Applications are invited for a data scientist to support a new, multi-institutional scientific program studying the flow of cerebrospinal fluid in the brain, with the hypothesis that flow is ultimately controlled by neural circuits, often via blood flow modulations. The data scientist will work as part of a Data Science Core, led by Douglas H. Kelley, Mujdat Cetin, and Jiebo Luo, all in the Hajim School of Engineering and Applied Sciences at the University of Rochester. Also employing two PhD students and part-time undergraduate researchers, the Data Core will provide integrated data storage and analysis infrastructure for the four scientific Projects and the Viral Core that together comprise the scientific program. The Data Core will also build and refine novel data analysis tools and facilitate public sharing of data and software. Diverse and large data will be produced by the Projects, including MRI imaging in humans, two-photon imaging in mice, brain-wide microscopy in mice, electrophysiological measurements in mice, vital sign measurements, computational fluid dynamics simulations, and network simulations of flow and transport through the brain. Key tasks for the data scientist include streamlining existing workflows for data pre-/post-processing and analysis, providing organized and searchable storage infrastructure, developing new statistical and machine-learning algorithms for quantitative information extraction and analysis from multi-modal brain imaging, and linking brain states to CSF flow patterns via artificial intelligence. An MS or PhD in a data-intensive field is required. Experience with imaging, large data sets, and modern AI methods is key; experience with neuroscience or other biological applications is desirable but not required.
The data scientist will enjoy excellent resources and opportunities for collaboration. The position will be affiliated with the Goergen Institute for Data Science (directed by Mujdat Cetin) and will involve frequent interactions with the Center for Integrated Research Computing, making extensive use of its BlueHive computing cluster. The data scientist will benefit from close collaborative links with the four Projects, led by Maiken Nedergaard (University of Rochester), Patrick Drew (Penn State University), Laura Lewis (Boston University), and Douglas H. Kelley. Interactions with PhD students and postdoctoral researchers in the Data Core and the Projects will be direct and frequent. Optionally, the data scientist might take on a research faculty role allowing formal mentoring of PhD students. We anticipate hiring for one year, with opportunity to renew; funds are available for five years. Longer-term career opportunities may also be available (e.g., at GIDS or CIRC).
This position will be available starting 1 June 2022. For full consideration, applicants should email a curriculum vitae and cover letter by 1 May 2022, but applications will be considered until the position is filled.
OPENINGS: Postdoctoral Researchers
Applications are invited for two postdoctoral researchers to model the dynamics of cerebrospinal fluid in the brain at the University of Rochester. The work will focus on fluid flow and transport of solutes, including wastes and nutrients, in the glymphatic system, which circulates cerebrospinal fluid through the brain during sleep. That circulation has important implications for human health: diseases such as Alzheimer's and Parkinson's correlate with accumulation of brain metabolic wastes, and pathologies such as stroke and cardiac arrest involve damaging swelling caused by the inrush of cerebrospinal fluid. The postdoctoral researchers will develop high-fidelity models of local flows using direct numerical simulations and extend an existing, brain-wide hydraulic network model of the fluid pathways. They will also develop local and brain-wide models for solute transport, caused by both advection and diffusion, based on the flow models. Several related questions about brain fluid flow might also be addressed. Experience with computational fluid dynamics is key; experience with neuroscience or other biological applications is desirable but not required.
The postdoctoral researchers will join a team in the Department of Mechanical Engineering, led by Douglas H. Kelley and John H. Thomas. The researchers will benefit from close collaborative links with three experimental projects funded simultaneously, producing groundbreaking in vivo observations in both mice and humans,and led by Maiken Nedergaard, Patrick Drew, and Laura Lewis. Iterative collaboration, in which experiments inform models and models suggest new experiments, is a central goal for all. Collaboration is also encouraged with other researchers in the Department of Mechanical Engineering studying brain fluid flows, currently including one other faculty member, two other postdoctoral researchers, a few PhD students, and a few undergraduate students. Further benefits will come from a Data Science Core dedicated to support the projects by providing data infrastructure, developing code, and performing analyses, led with Mujdat Cetin and Jiebo Luo.
These positions will be available starting 1 June 2022. We anticipate hiring for one year, with opportunity to renew; funds are available for five years. For full consideration, applicants should email a curriculum vitae and cover letter by 1 May 2022.
Douglas H. Kelley
Associate Professor, Mechanical Engineering, University of Rochester
http://hajim.rochester.edu/me/sites/kelley
The work will focus on fluid flow and transport of solutes, including wastes and nutrients, in the glymphatic system, which circulates cerebrospinal fluid through the brain during sleep. That circulation has important implications for human health: diseases such as Alzheimer's and Parkinson's correlate with accumulation of brain metabolic wastes, and pathologies such as stroke and cardiac arrest involve damaging swelling caused by the inrush of cerebrospinal fluid. Our team will make predictions using direct numerical simulations, develop a brain-wide model of solute transport, and analyze in vivo measurements of mouse and human brains, produced by three teams of neuroscientists involved in the same project.
Please spread the word to strong candidates! Applicants should send a CV and cover letter to d.h.kelley@rochester.edu. More information is below and also here.
—Doug
OPENING: Data Scientist
Applications are invited for a data scientist to support a new, multi-institutional scientific program studying the flow of cerebrospinal fluid in the brain, with the hypothesis that flow is ultimately controlled by neural circuits, often via blood flow modulations. The data scientist will work as part of a Data Science Core, led by Douglas H. Kelley, Mujdat Cetin, and Jiebo Luo, all in the Hajim School of Engineering and Applied Sciences at the University of Rochester. Also employing two PhD students and part-time undergraduate researchers, the Data Core will provide integrated data storage and analysis infrastructure for the four scientific Projects and the Viral Core that together comprise the scientific program. The Data Core will also build and refine novel data analysis tools and facilitate public sharing of data and software. Diverse and large data will be produced by the Projects, including MRI imaging in humans, two-photon imaging in mice, brain-wide microscopy in mice, electrophysiological measurements in mice, vital sign measurements, computational fluid dynamics simulations, and network simulations of flow and transport through the brain. Key tasks for the data scientist include streamlining existing workflows for data pre-/post-processing and analysis, providing organized and searchable storage infrastructure, developing new statistical and machine-learning algorithms for quantitative information extraction and analysis from multi-modal brain imaging, and linking brain states to CSF flow patterns via artificial intelligence. An MS or PhD in a data-intensive field is required. Experience with imaging, large data sets, and modern AI methods is key; experience with neuroscience or other biological applications is desirable but not required.
The data scientist will enjoy excellent resources and opportunities for collaboration. The position will be affiliated with the Goergen Institute for Data Science (directed by Mujdat Cetin) and will involve frequent interactions with the Center for Integrated Research Computing, making extensive use of its BlueHive computing cluster. The data scientist will benefit from close collaborative links with the four Projects, led by Maiken Nedergaard (University of Rochester), Patrick Drew (Penn State University), Laura Lewis (Boston University), and Douglas H. Kelley. Interactions with PhD students and postdoctoral researchers in the Data Core and the Projects will be direct and frequent. Optionally, the data scientist might take on a research faculty role allowing formal mentoring of PhD students. We anticipate hiring for one year, with opportunity to renew; funds are available for five years. Longer-term career opportunities may also be available (e.g., at GIDS or CIRC).
This position will be available starting 1 June 2022. For full consideration, applicants should email a curriculum vitae and cover letter by 1 May 2022, but applications will be considered until the position is filled.
OPENINGS: Postdoctoral Researchers
Applications are invited for two postdoctoral researchers to model the dynamics of cerebrospinal fluid in the brain at the University of Rochester. The work will focus on fluid flow and transport of solutes, including wastes and nutrients, in the glymphatic system, which circulates cerebrospinal fluid through the brain during sleep. That circulation has important implications for human health: diseases such as Alzheimer's and Parkinson's correlate with accumulation of brain metabolic wastes, and pathologies such as stroke and cardiac arrest involve damaging swelling caused by the inrush of cerebrospinal fluid. The postdoctoral researchers will develop high-fidelity models of local flows using direct numerical simulations and extend an existing, brain-wide hydraulic network model of the fluid pathways. They will also develop local and brain-wide models for solute transport, caused by both advection and diffusion, based on the flow models. Several related questions about brain fluid flow might also be addressed. Experience with computational fluid dynamics is key; experience with neuroscience or other biological applications is desirable but not required.
The postdoctoral researchers will join a team in the Department of Mechanical Engineering, led by Douglas H. Kelley and John H. Thomas. The researchers will benefit from close collaborative links with three experimental projects funded simultaneously, producing groundbreaking in vivo observations in both mice and humans,and led by Maiken Nedergaard, Patrick Drew, and Laura Lewis. Iterative collaboration, in which experiments inform models and models suggest new experiments, is a central goal for all. Collaboration is also encouraged with other researchers in the Department of Mechanical Engineering studying brain fluid flows, currently including one other faculty member, two other postdoctoral researchers, a few PhD students, and a few undergraduate students. Further benefits will come from a Data Science Core dedicated to support the projects by providing data infrastructure, developing code, and performing analyses, led with Mujdat Cetin and Jiebo Luo.
These positions will be available starting 1 June 2022. We anticipate hiring for one year, with opportunity to renew; funds are available for five years. For full consideration, applicants should email a curriculum vitae and cover letter by 1 May 2022.
Douglas H. Kelley
Associate Professor, Mechanical Engineering, University of Rochester
http://hajim.rochester.edu/me/sites/kelley