Lead Computational Scientist

Provides research support for the integration of computing hardware and software tools for accomplishing research tasks across a variety of scholarly disciplines. Partners with faculty, students and research staff across various departments and research centers to understand scientific problems and the application of advanced research computing tools to help achieve research outcomes. Recommends computational and/or visualization tools, techniques and methodologies, and serves as an architect and developer for the computational aspect of research investigations. Develops, ports, installs and optimizes software for high performance computing and data-intensive architectures, including Graphics Processing Units (GPUs), massively-parallel systems, and cloud environments. Teaches workshops and tutorial sessions focused on scientific programming and data analysis. Guides students, faculty and collaborators to assist with research project development and implementation. Develops, maintains and improves department computing and visualization infrastructure. Consults on computational research project design and implementation.

Responsibilities

Serves as a consultant, collaborator or co-investigator on one or more sponsored research projects while working collaboratively with principal investigators, research staff, and students on projects; Oversees and mentors students and research staff; Contributes technical and analytical content for research publications; Presents or contributes to scientific presentations; Installs, maintains, and supports scientific applications and libraries in a variety of high performance computing environments, including support of specialized components such as accelerators (GPUs), parallel file systems, low-latency networks, specialized visualization systems, virtual machines, and cloud-based systems; Works with system administrators, network engineers or other professionals to design, build, and maintain research computing software and hardware systems; Develops, ports, and optimizes applications supporting high-performance computing (HPC) and cloud-based architectures; Serves as architect and developer for the computational aspect of research investigations; Provides technical end-user support for faculty, student, and research staff who utilize CIRC systems; Develops documentation and provides support to diagnose issues and provide solutions; Develops training materials, conducts workshops, and serves as a guest lecturer in courses that leverage CIRC technologies; Remains current on trends as they relate to the research computing field, with particular emphasis on high performance computing environments; Contributes to manuscripts and proposals based on developments in research and technology and evolving needs; Other duties as assigned

Requirements

PhD in a scientific or engineering related discipline with a computational focus and 3 years of related experience; or equivalent combination of education and experience; Experience with computer simulations, data analytics, computational tools, high-performance computing software and/or supercomputing hardware; Experience designing, writing and porting scientific applications; Experience developing computational tools and constructing data analysis pipelines; Experience developing or debugging software and using software management systems; Knowledge of programming with a high-level programming language such as C/C++, Fortran, or Java; Knowledge of shell scripting and interpreted programming languages such as Perl, Python, R, etc.; Knowledge of parallel programming techniques and libraries such as MPI, OpenMP and CUDA; Strong verbal and written communication skills including strong presentation skills; Ability to manage programming projects, collaborations, and personnel in an academic environment

Nice to have

Experience conducting and/or publishing research; Experience supervising research students; Experience as a faculty member or educator; Multidisciplinary research projects spanning a variety of fields