Computational Scientist

King Abdullah Bin Abdulaziz University Hospital; Thuwal; On-site; SAR 450,000 - 675,000; Full time

Job summary

King Abdullah University of Science & Technology seeks a senior specialist to provide broad user support for laboratory systems and software. The role includes advanced computational science, data analysis, and ML tasks, with opportunities to initiate impact projects in collaboration with KAUST faculty.

Senior candidates will lead lab projects, expand collaborations, and raise visibility of KAUST core labs through research leadership and outreach.

Qualifications

• Ph.D. in computer science, computational science and engineering or related discipline.
• Minimum 4 years of relevant post-PhD experience.
• Senior (L5) candidates should have at least 8 years of demonstrated relevant experience.

Responsibilities

• Provide broad support and training for users of laboratory systems and software.
• Deliver advanced support in computational science, data analysis, ML, or related fields.
• Lead or co-lead projects and collaborations within the lab and with other core labs.
• Develop software tools and benchmarks to support research projects.
• Document systems, tests and installations; create training materials for users.
• Communicate results and co-author papers when appropriate.

Skills

HPC programming

Python

C/C++

Fortran

MPI

English communication

Research collaboration

Education

Ph.D. in computer science or related discipline

Tools

Parallel computing tools

Job description

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Company: King Abdullah University of Science & Technology

Position Summary

The position consists in providing a broad range of support and training for users of laboratory systems and their software applications. In addition to user support through our ticketing system, the candidate is expected to provide advanced support in computational science and engineering, big data analysis, machine learning, or any related field. Senior candidate should initiate and autonomously work on scientific and/or operational impact project(s) in collaboration with KAUST faculty member or with teams in the lab or other core labs, in the framework of method development projects impacting a wide range of research groups by proposing new added-value services within the lab.

Major Responsibilities

• Support enablement activities for research work in computational science and 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 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
• Provides individual and/or group instruction and training on topics of interest to the user community. Become the reference on campus in a topic of expertise.
• Develop software tools and parallel application libraries as necessary 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 with personal strengths and 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 the 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 Shaheen 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 national and international visibility of KAUST and Core Labs through active participation and representation of the lab in relevant events.
• 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
• Demonstrated ability to work successfully in a highly collaborative research environment
• Proficiency in programming HPC applications and tools (e.g. Fortran, C/C++, Python, MPI,
• Excellent analytical, problem solving and decision-making skills
• Creative and innovative individual with clear initiatives to improve lab operation
• Flexible and delivers high-quality results within deadlines
• Planning and organizational skills
• Ability to work in teams, influence peers and achieve results.
• The ability to handle multiple projects simultaneously
• Ability to work effectively in multi-cultural environment
• Demonstrated ability to prepare written and to give oral reports in English
• Strong verbal and written communication skills in English.
• The ability to handle multiple projects simultaneously with autonomy.

Senior candidates (L5) are also expected to have the following competencies:

• Track record of publications and other contributions in computational science and 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 track record of initiative and responsiveness.
• Organizational understanding and global thinking.
• Mastering project management principles and practices.
• The 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 minimum 4 year after PhD is required.

Senior candidates (L5) are expected to have a minimum of 8 years of demonstrated relevant