The South African Centre for Digital Language Resources (SADiLaR), in conjunction with the North-West University (NWU), is offering a postdoctoral fellowship for suitably qualified candidates in the fields of digital humanities (DH), computational linguistics, corpus linguistics, digital lexicography, data mining and visualisation, digital curation, or related fields.

SADiLaR is a national research infrastructure whose mandate is to focus on digital text and speech resource development of the official languages of South Africa. It runs two programmes, one of which is a digitisation programme which includes the systematic creation of relevant digital text, speech and multi-modal resources for these languages, as well as the development of appropriate natural language processing tools for research and development purposes. The second is a DH programme which facilitates research capacity-building by promoting and supporting the use of digital data and innovative methodological approaches within the Humanities and Social Sciences.

The successful candidate will be required to:

Perform research on one or more South African languages in the context of DH or a related field
Produce and publish accredited, peer-reviewed articles in the domains of SADiLaR’s main programmes
Participate in research projects managed or executed by SADiLaR
Provide limited research support to junior researchers
Assist with capacity-building in the field of DH through the presentation of workshops, and assistance with the conceptualisation of DH projects on a national basis


South African Centre for Digital Language Resources


Minimum requirements

A doctoral degree in an appropriate field associated with digital humanities obtained within the past five years. Fields can include – AI; Machine Learning; Computer Studies; Data Science etc.
A proven track record of publications in journals and/or conference proceedings
Demonstrable programming experience for data processing and visualisation OR knowledge of data analysis and visualisation tools used in DH research

Good communication skills (written and verbal)
Experience in working in teams
Teaching experience

Educational level:

Ph. D.

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