About the Role
This position involves creating, facilitating, and enhancing an effective SMSRC Data Ecosystem that encompasses the management of Big Data through the application of the 7 Vs (Volume, Variety, Velocity, Variability, Visualization, Veracity, Value). You will work to understand and improve how SMSRC’s assets—people, hardware, and software—interact to optimize data generation and flow. Furthermore, you will envision and implement integrations of the PML data ecosystem with broader global data environments, adhering to FAIR principles (Findability, Accessibility, Interoperability, and Reusability).
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Key Responsibilities
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Create an Effective SMSRC Data Ecosystem:
Design and facilitate the flow, exchange, and interchange of Big Data, ensuring efficient management and integration of SMSRC assets.
- Envision and implement interactions between the local and global data ecosystems.
- Apply FAIR principles to enhance the SMSRC data ecosystem.
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Facilitate the Use of Data:
Understand the purpose and value of datasets, and how they can be used, repurposed, and reconstructed for new scientific discoveries.
- Determine the most suitable data formats for particular problems.
- Implement methods for data synthesis and integration.
- Create a geographically referenced data portal to support data discovery and visualization.
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Support Autonomy and Digitization:
Envision and implement SMSRC’s digital strategy, integrating AI/ML as essential components.
- Recognize the importance of digital twins and implement interoperable data flows within the ecosystem.
Key Interactions
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Internal:
- Head of Research and Innovation
- Academic marine research and operational support staff at SMSRC
- UKF students
- Academic staff at UKF outside the School of Marine Science
- SMSRC/UKF Information Technology staff
- UKF operational staff (communications, partnerships, engagements, finance and procurement)
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External:
- Academic and research collaborators
- Contractors and logistics providers
- Off-site data storage providers
- Cybersecurity services
Qualifications & Experience
- Proven experience designing the flow, exchange, and interchange of Big Data in a research environment.
- Understanding the purpose and value of datasets and the appropriate formats for usage.
- Knowledge of data synthesis and best practices for data integration.
- Experience with digital twins, data visualization, and artificial intelligence is desirable.
- Proven knowledge in marine science and relevant research activities and outcomes.
Skills & Competencies
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Essential Skills:
- Strong organizational and project management skills
- Teamwork capabilities
- Innovative and creative thinking
- Excellent communication and stakeholder engagement skills
- Analytical thinking and problem-solving abilities
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Desirable Skills:
- Familiarity with marine science and associated research activities
- Flexibility and adaptability
- Background in, or association with, academic or marine research institutions or data centers
- Demonstrated interest in the marine environment.
