CMPTL AND DATA SCI RSCH SPEC 5 – 127251

This is a 100% Contract position for 1 year with the possibility of extension or conversion to career status.

The mission of the The Halicioglu Data Science Institute (HDSI) is to lay the groundwork for the scientific foundations of the emerging discipline of data science, develop new methods and infrastructure, and train students, faculty and industry partners to use data science in ways that will allow them to solve some of the world’s most pressing problems. HDSI has been established as an independent and innovative academic unit that works collaboratively with schools, divisions, departments, centers, students and faculty across multiple disciplines throughout the entire campus.

HDSI has 22.66 Faculty FTE on board, through a headcount of more than 48 faculty with split appointments in multiple departments. This highly talented data-driven ecosystem of thought leaders is only expected to grow in the coming years. HDSI is the administrative home for the undergraduate B.S. major and minor in Data Science, and three new graduate programs; Master of Data Science Online, MS in Data Science and PhD in Data Science. The undergraduate program has 1,000+ students across our major and minor programs. Our newly launched graduate programs are home to 199 MS students, 44 of which belong to our Online Master of Data Science degree, and 40 PhD students.

The Computational and Data Science Research Specialist 5 will have wide-ranging, extensive experience with computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, performs up to and including the most complex research, technology and software development projects with sitewide, institution-wide and / or multi-institutional scope. They will represent the organization at national and international meetings, conferences and committee and is considered a research and technology expert in multiple aspects of computation, data science, information science, and cyberinfrastructure. The incumbent will advise on and resolves highly complex research and technology projects or issues, direct the design, implementation and selection of new hardware and software technologies for advancing complex HPC, data science, and CI projects as well as present research and technical briefings to senior management, institution-wide, national and international audiences. Additionally, they will contribute to the research and technical direction in one or more technical specialties and perform advanced research and technology development to contribute to design of future HPC, data science, and CI hardware and software systems. As a recognized national expert in CI-heavy, computational and data science offerings, the incumbent will identify gaps in the current ecosystem needed by researchers, suggesting new research data services and strategic competencies to develop. This position will find, initiate, design, and lead/co-lead data intensive research proposals with domain scientists, especially in the geosciences, information, and biomedical sciences. The incumbent will identify, author, and host trainings and workshops to disseminate research and research products, including new platforms and services, as well as to build community and map the science landscape.

Global Impact on AI in Education:

The CDSR5 position is uniquely positioned to make a global impact by exploring and implementing innovative ways in which AI can be integrated into education, not just at UCSD and in HDSI but globally. With the growing influence of technology in our interconnected world, the ability to prepare students for the future demands a deep understanding of computation and data science. This role will play a pivotal part in shaping the educational landscape on a global scale, ensuring that students are equipped with the skills needed in an AI-driven world.

Enhancing Accessibility and Attainability:

This position will be instrumental in advancing university and community-wide efforts to make education more accessible and attainable for all students. By harnessing the power of AI, this position can contribute to the development of inclusive learning environments that cater to the diverse needs of students. This is particularly crucial in addressing the challenges faced by underrepresented minorities and first-generation students, thereby bridging educational gaps and fostering a more equitable academic landscape.

Innovation in Training Methodologies:

The incumbent will lead the charge in revolutionizing training methodologies for both graduate and undergraduate students. By leveraging AI technologies, this role can introduce cutting-edge approaches to curriculum development, personalized learning experiences, and adaptive assessment tools. Such innovations will not only enhance the quality of education but also empower students with the skills necessary to thrive in the digital age.

Strategic Collaboration and Community Engagement:

Collaboration is key to achieving lasting impact. The CDSR5 will engage in university and community-wide initiatives, fostering partnerships that strengthen the bridge between academia and real-world applications of AI in education. By actively involving stakeholders, this position can contribute to the creation of sustainable programs that address the unique challenges faced by different communities, ultimately making education a more collaborative and community-driven endeavor.

For more information, please visit: https://datascience.ucsd.edu

Expert knowledge of HPC / data science / CI. Expert knowledge in computational and data science architectures, HTC/HPC architectures, and data science concepts and technologies including machine learning. Expert knowledge of information science topics including semantics, linked data, FAIR, FDOs, as well as related areas such as reproducibility.

Understanding of pedagogical theories and methodologies related to teaching AI concepts. Familiarity with learning styles, educational technologies, and assessment strategies.

Expert skills and experience in independently resolving highly complex computing / data / CI problems using introductory and / or intermediate principles. Expert experience distilling patterns, architectures, use cases, and best practices/methods from data-driven science research challenges.

Expert ability to successfully lead and manage multiple concurrent projects. Excellent research and technology project leadership and management skills.

Proven ability to establish realistic research priorities and lead, motivate and guide colleagues and staff for a sustained effort. Demonstrated ability to align strategy of the Center and institution with national and international research initiatives.

• Job offer is contingent upon satisfactory clearance based on Background Check results.

• Ability to travel to regional, national, and international meetings, workshops, and conferences, as well as to funding agencies, as needed to accomplish work objectives and to share in representation of the Center in these venues.

Pay Transparency Act

Annual Full Pay Range: $124,400 – $243,600 (will be prorated if the appointment percentage is less than 100%)

Hourly Equivalent: $59.58 – $116.67

Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable).

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