美国利弗莫尔劳伦斯国家实验室应用科学计算中心招聘博士后

NATURE AND SCOPE OF JOB
The Center for Applied Scientific Computing (CASC) has an opening for a postdoctoral researcher in the development of scalable and robust algorithms for the simulation of suspended bodies through patient-specific vascular geometries with application to cancer research. The primary focus will be on the development of techniques to run massively parallel fluid-structure interaction simulations, which will involve designing data structures, domain decompositions, and communication optimizations to enable efficient scaling to greater than 100,000 cores. Project goals include enabling the simulation of large regions of the circulatory system at realistic hematocrit level, creation of a tight feedback loop between the model results and data obtained through in vitro experiments, and the development of algorithms to include a range of cell description parameters such as shape, size, and stiffness. Will work in a multidisciplinary team environment, interacting with scientists from LLNL as well as with outside collaborators. Will report to the Scientific Computing Group Leader within CASC.

ESSENTIAL DUTIES
- Design and implement robust and scalable coupling of fluid-structure interaction algorithms.
- Develop novel computational techniques and implement them in the HARVEY lattice Boltzmann simulation code to enable large-scale simulations.
- Establish a method to compare simulation results to in vitro measurements.
- Publish research results in external peer-reviewed scientific journals and participate in domestic and international conferences.
- Define and carry out the research in collaboration and interaction with a broad spectrum of scientists internally and externally.
- Conduct independent but complementary research interests.
- Contribute to group grant proposals, including both preparation and presentation of proposals that will provide future research opportunities in the field.
- Perform all assignments in accordance with ES&H, security, and business practice requirements and policies.

ESSENTIAL SKILLS, KNOWLEDGE, AND ABILITIES
- Recent Ph.D. in computer science, applied mathematics, or related field.
- Experience with MPI and parallel programming.
- Experience with discretization methods for PDEs.
- Demonstrated expertise working with and in a large, complex scientific code system.
- Experience with object oriented software development in C/C++.
- Experience with software development in Linux/Unix environments.
- Demonstrated ability to perform independent research successfully.
- Demonstrated publication record in peer-reviewed journals and/or conferences.
- Demonstrated effective verbal and written communication skills necessary to author technical and scientific reports and papers and to deliver scientific presentations.
- Demonstrated interpersonal skills necessary to interact professionally and productively with a diverse set of scientists, engineers, and other technical and administrative staff.

DESIRED SKILLS, KNOWLEDGE, AND ABILITIES
- Knowledge of the lattice Boltzmann and immersed boundary methods.
- Experience working with parallel computational biology simulation codes.
- Knowledge of human physiology, especially blood physiology and the cardiovascular system.
- Experience working with experimental data and conducting code validation.
- Experience with code development and visualization tools such as Paraview.