The University of the Free State (UFS) is one of the oldest institutions of higher education in South Africa. It opened its doors in 1904 on the Bloemfontein Campus with a mere six students in the Humanities. Since then, our institution has grown to more than 34 127 students, spread across seven faculties over three campuses. https://www.ufs.ac.za/about-the-...
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Structure and manage social listening data within Omeka S.
Maintain and update the Github repository for ICDF-related projects.
Organise and maintain digital heritage data in Omeka SCurate and process social listening datasets within Omeka S.
Provide support across multiple digital backbone projects.
Develop a Streamlit interface for deep learning applications in HLT.
Build an annotation system for HLT research using Streamlit.
Conduct UX design experiments within the DSC framework.
Deploy a deep learning model for public access and collaborative improvements on GitHub.
Meet to discuss the integration of Forgotten Highway data into Omeka S for digital heritage management.
Verify the accuracy and reliability of data collected for the Forgotten Highway project.
Finalise the upload and structure of Forgotten Highway data in Omeka S.
Manage and organise social listening data using Omeka S for better accessibility and analysis.
Extract and analyse data from various sources to understand social media narratives (Data mining).
Develop a framework for ethical and effective data sharing (Book - Data sharing framework).
Write an article on Human Language Technology research and applications (Book - HLT Article support).
Write a book on ethical considerations in digital research and data sharing.
Build and refine a deep learning model for research applications (Deep learning model).
Draft a magazine article summarising project outcomes (Magazine support draft - for project closure).
Develop and refine outputs for the Lebitso project (Products for Lebitso).
Inherent requirements:
A bachelor’s degree or a B-Tech degree on NQF Level 7 in the field of Computer Science, plus any other undergraduate interdisciplinary qualification on NQF Level 7 or an interdisciplinary postgraduate qualification on NQF Level 8.
Minimum of two (2) years’ relevant working experience in Data Science and IT.
Recommendations:
Three (3) years’ relevant experience in IT and at least 6 months of data science and data engineering.
Two discipline degrees in Computer science and another discipline (either a natural science or humanities qualification).
Knowledge of interdisciplinary data science support.
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