[Ieee_vis_open_positions] Data Scientist Position

[Sohaib Ghani]

Data Scientist Position



The KAUST Visualization Core Lab (KVL) is seeking a highly motivated and collaborative data scientist with a strong background in machine learning and deep learning application design and support. KVL along with the Kaust Supercomputing Core Lab (KSL) advances the KAUST mission by providing cutting-edge visualization, HPC, and data science services; collaborating with domain researchers to accelerate discoveries through large-data analysis and visualization, machine learning, and data science; and supporting the needs of KAUST and In-Kingdom entities by providing access to and training on state-of-the-art visualization/HPC hardware and software for scientific discovery.



The scientist will work in collaboration with other team members to build cutting-edge machine learning and deep learning workflows for domain scientists and industry partners on a variety of platforms, including Shaheen (KAUST's Cray XC40 supercomputer) and Ibex (KAUST's NVIDIA GPU Cluster).



Major Responsibilities:

*        Assist KAUST stakeholders and their in-Kingdom partners in applying machine learning and deep learning tools and methods in their scientific research.

*        Survey relevant work from the HPC and data science communities to identify standard practices in optimizing machine learning and deep learning workflows for HPC machines.

*        Provide expert consulting on machine learning and deep learning methods as needed by KAUST stakeholders and their In-Kingdom partners.

*        Develop machine learning and deep learning workflows to analyze data collected by KAUST facilities and systems.

*        Provide hands-on data science and machine learning training to KAUST and In-Kingdom students/researchers.



Competencies:

*        Proficiency in machine learning, deep learning, and data analytics.

*        Experience working with machine learning and deep learning frameworks such as Scikit-Learn, PyTorch, Tensorflow, etc.

*        Experience using tools to support self-service software installation and workflow management such as Git, Conda (+Pip), Docker, and Snakemake.

*        Experience developing and maintaining high-quality software documentation and conducting training and outreach activities.

*        Experience deploying machine learning and deep learning applications at scale.

*        Experience working with data generated by High-Performance Computing (HPC) machines.

*        Excellent communication and interpersonal skills.

*        Demonstrated ability to work effectively as part of a cross-disciplinary team.



Qualifications:

*        Ph.D. degree in Computer Science or related field with demonstrated relevant expertise.

Apply Here: https://bit.ly/3sujEIU


Thank You

Regards
Sohaib

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Sohaib Ghani, Ph.D.
Lead Visualization Scientist,
KAUST Visualization Core Lab<https://corelabs.kaust.edu.sa/visualization/>,
King Abdullah University of Science and Technology,
Thuwal,  23955--‐6900, Saudi Arabia.

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