Staff Scientist, O'Donnell Data Science and Research Computing Institute

About the role

This role is an on-campus, in-person position. The Staff Scientist in the O'Donnell Data Science and Research Computing Institute (ODSRCI) will support SMU’s research activities in data science, artificial intelligence/machine learning (AI/ML), and high-performance computing (HPC).

Responsibilities

• Contribute to research activities in data science, AI/ML, high-performance computing, and related emerging technologies through participation in assigned projects and collaborative initiatives.
• Identify external funding opportunities and contribute to proposal development and submission.
• Collaborate with industry and academia to advance the O'Donnell Institute's research and development efforts.
• Promote the mission and capabilities of SMU and the O'Donnell Institute in the areas of data science, AI/ML, and HPC.
• Communicate SMU's strengths and accomplishments to support the Institute's continued growth.
• Design and execute events to communicate the Institute's mission and progress to the public and various stakeholders.
• Provide mentorship to graduate students to help establish a culture of innovation, interdisciplinary research, and scholarship.
• Occasional travel to meet sponsors and attend workshops and conferences is required.

Requirements

A doctoral degree is required. A degree in Computer Science, AI/ML, or related field is preferred. A minimum of two years of research experience and established track record in the fields of data science and AI/ML is required. Experience working across disciplinary boundaries to develop research conditions is preferred. Experience in mentoring student is preferred.

Qualifications

Candidate must demonstrate strong interpersonal and verbal communication skills, with the ability to communicate broadly across the University and develop and maintain effective relationships with a wide range of constituencies. Must also demonstrate strong written communication skills. Candidate must possess strong problem-solving skills with the ability to identify and analyze problems, as well as devise solutions. Must also have strong organizational, planning and time management skills. Candidate must have a good understanding of the interface of academia and industry. Candidate must have awareness of current and upcoming changes in the funding and research landscape. Knowledge of HPC software stacks and parallel computing is required. Experience with GPU and accelerated computing is preferred.

Skills and Abilities

Knowledge of HPC software stacks and parallel computing is required. Experience with GPU and accelerated computing is preferred.

Physical and Environmental Demands

Sit for long periods of time.