About the Role
This position involves providing a broad range of support and training for users of laboratory systems and their software applications. The successful candidate will deliver user support through a ticketing system and be expected to provide advanced assistance in computational science and engineering, big data analysis, machine learning, or any related field.
Senior candidates should autonomously initiate and work on scientific and/or operational impact projects in collaboration with faculty members or teams in the lab or other core labs. These projects will be within the framework of method development affecting various research groups and proposing new value-added services within the lab.
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Major Responsibilities
- Support enablement activities for research work in computational science, engineering, and data analysis, including but not limited to:
- Provide timely and useful user support via telephone, walk-in, email, and ticketing system submissions for all types of inquiries with the ability to handle advanced level support.
- Maintain high customer service standards in dealing with and responding to user issues and questions.
- Installation, porting, and tuning of parallel applications, tools, and data analysis software stack.
- Maintain scientific, technical, and professional currency through collaboration, practice, training, conferences, independent learning, and other means.
- Maintain a broad knowledge of state-of-the-art computer technology, equipment, and systems, and support benchmarking activities in the lab for future procurements.
- Review and prepare documentation for systems, tests, and installation of software.
- Provide individual and/or group instruction and training on topics of interest to the user community. Be the reference on campus in a chosen area of expertise.
- Develop software tools and parallel application libraries to support the research projects in the cluster systems and subsystems.
- Develop software application benchmarks for periodic upgrades of laboratory systems.
- Articulate and pursue research activities aligned with the laboratory and personal strengths/interests; pursue co-authorship of papers/presentations as appropriate; engage in scientific communication and outreach.
- Any additional duties as required for the operation of the lab and assigned by line managers.
Senior candidates (L5) are also expected to:
- Contribute and take charge of major tasks in lab leadership projects, such as the refresh of a supercomputer, as assigned by Lead and Lab Director.
- Initiate collaborative projects and activities with other groups within the lab and across other core labs when applicable.
- Increase the national and international visibility of Core Labs by actively participating in and representing the lab at relevant events.
Competencies
- Expertise in using or supporting computational science and engineering, data analysis, and artificial intelligence applications and libraries in different HPC environments.
- Demonstrated ability to support research activities in an HPC environment.
- Proven ability to work successfully in a highly collaborative research environment.
- Proficiency in programming HPC applications and tools (e.g., Fortran, C/C++, Python, MPI, OpenMP, CUDA, OpenACC, etc.).
- Excellent analytical, problem-solving, and decision-making skills.
- Creative and innovative individual with clear initiatives to improve lab operations.
- Flexible and able to deliver high-quality results within deadlines.
- Strong planning and organizational skills.
- Ability to work in teams, influence peers, and achieve results.
- Capacity to handle multiple projects simultaneously.
- Ability to work effectively in a multicultural environment.
- Demonstrated ability to prepare written and oral reports in English.
- Strong verbal and written communication skills in English.
Senior candidates (L5) are also expected to have the following competencies:
- A track record of publications and contributions in computational science, engineering, and data analysis venues.
- Become the reference scientist of commonly used concepts, practices, and procedures within the related field of expertise.
- Strong team player with a record of initiative and responsiveness.
- Organizational understanding and global thinking.
- Mastering project management principles and practices.
- Ability to handle multiple projects simultaneously with autonomy.
Qualifications & Experience
- Ph.D. in computer science, computational science and engineering, or any closely related discipline.
- A demonstrated relevant experience of a minimum of 4 years after Ph.D. is required.
- Senior candidates (L5) are expected to have a minimum of 8 years of demonstrated relevant experience after Ph.D.
