[Afridig] Job Opening for Data Scientist (with a focus on natural language processing)

Menno Van Zaanen Menno.VanZaanen at nwu.ac.za
Mon Mar 17 15:33:03 SAST 2025


Job Opening for Data Scientist (with a focus on natural language
processing)

Application link: https://bit.ly/4iUSSAN
Application deadline: 20 April 2025

As a Data Scientist at the South African Centre for Digital Language
Resources (SADiLaR) you will have the opportunity to initiate and lead
projects focusing on Human Language Technology and Digital Humanities
stemming from your own research interests. You will work closely
together with a team of researchers as part of SADiLaR’s extended
network, both on your own and commissioned projects. Dissemination of
project results at national and international conferences will be
encouraged and supported. This position is crucial for research and
development in Human Language Technology and Digital Humanities, fields
that form the essence of SADiLaR, which is a national Research
Infrastructure supported by the Department of Science and Innovation.
Read more at https://www.sadilar.org.

KEY RESPONSIBILITIES:
* Research: Research in the area of Human Language Technology and
Digital Humanities.
* Project work: Initiating and contributing to Human Language
Technology and Digital Humanities projects.
* Teaching: Teaching in the area of Human Language Technology and
Digital Humanities.
* Mentorship: Mentorship of researchers in the field of Human Language
Technology and Digital Humanities.

Minimum requirements
* A PhD (NQF level 10) in one of the following fields: Computational
Linguistics, Natural Language Processing, Human Language Technology,
Digital Humanities, Data Science, Computer Science, Information
Technology, Artificial Intelligence, or related fields. The PhD should
have a focus on computational aspects of linguistics.
* A minimum of (five) 5 years’ experience in the use of Python (other
programming languages used within the computational linguistics or
Digital Humanities domain can also be considered).
* Evidence of peer-reviewed academic publications.
* A minimum of (three) 3 years’ experience as a supervisor/co-
supervisor of students or playing a mentorship/supervising role for
individuals.
* A minimum of (three) 3 years’ experience with using and/or developing
computational tools.
* A minimum of (three) 3 years experience related to research within
the domain of Language Technology or Digital Humanities.
* A minimum of (one) 1 year experience related to teaching or training
within the domain of Language Technology or Digital Humanities.

ADDED ADVANTAGE
* Membership with Academic subject communities.

Functional / Technical Competencies (Knowledge and Skills)
* Advanced computer literacy.
* Ability to lead research projects.
* Experience in the presentation of research-based results at national
and international conferences.
* Experience with writing research reports.
* Evidence of acquiring research funding.

KEY BEHAVIOURAL COMPETENCIES:
* Ability to work independently or as part of a team.
* Ability to effectively liaise and communicate with public, students,
colleagues, and other stakeholders at various levels and from diverse
backgrounds.
* Demonstration of language proficiency in order to function optimally
in the various multilingual environments of SADiLaR.
* Strong interest in the advancement of under-resourced South African
languages.

REMUNERATION
The annual total remuneration package will be commensurate with the
level of appointment as advertised and in line with the NWU policy
guidelines.

ENQUIRIES REGARDING JOB CONTENT MAY BE DIRECTED TO: Prof. Menno van
Zaanen, E-mail: Menno.VanZaanen at nwu.ac.za

ENQUIRIES REGARDING RECRUITMENT PROCESS MAY BE DIRECTED TO: Mr. Byron
Louw, Tel No. 018 285 2304

CLOSING DATE: 20 April 2025

PLANNED COMMENCEMENT OF DUTIES: As soon as possible

Kindly take note: applications must be submitted online through the
official nwu vacancy website.

Incomplete applications and those submitted through any other platform
will not be considered.

Application link: https://bit.ly/4iUSSAN
Job Opening for Data Scientist (with a focus on natural language
processing)

Application link: https://bit.ly/4iUSSAN
Application deadline: 20 April 2025

As a Data Scientist at the South African Centre for Digital Language
Resources (SADiLaR) you will have the opportunity to initiate and lead
projects focusing on Human Language Technology and Digital Humanities
stemming from your own research interests. You will work closely
together with a team of researchers as part of SADiLaR’s extended
network, both on your own and commissioned projects. Dissemination of
project results at national and international conferences will be
encouraged and supported. This position is crucial for research and
development in Human Language Technology and Digital Humanities, fields
that form the essence of SADiLaR, which is a national Research
Infrastructure supported by the Department of Science and Innovation.
Read more at https://www.sadilar.org.

KEY RESPONSIBILITIES:
* Research: Research in the area of Human Language Technology and
Digital Humanities.
* Project work: Initiating and contributing to Human Language
Technology and Digital Humanities projects.
* Teaching: Teaching in the area of Human Language Technology and
Digital Humanities.
* Mentorship: Mentorship of researchers in the field of Human Language
Technology and Digital Humanities.

Minimum requirements
* A PhD (NQF level 10) in one of the following fields: Computational
Linguistics, Natural Language Processing, Human Language Technology,
Digital Humanities, Data Science, Computer Science, Information
Technology, Artificial Intelligence, or related fields. The PhD should
have a focus on computational aspects of linguistics.
* A minimum of (five) 5 years’ experience in the use of Python (other
programming languages used within the computational linguistics or
Digital Humanities domain can also be considered).
* Evidence of peer-reviewed academic publications.
* A minimum of (three) 3 years’ experience as a supervisor/co-
supervisor of students or playing a mentorship/supervising role for
individuals.
* A minimum of (three) 3 years’ experience with using and/or developing
computational tools.
* A minimum of (three) 3 years experience related to research within
the domain of Language Technology or Digital Humanities.
* A minimum of (one) 1 year experience related to teaching or training
within the domain of Language Technology or Digital Humanities.

ADDED ADVANTAGE
* Membership with Academic subject communities.

Functional / Technical Competencies (Knowledge and Skills)
* Advanced computer literacy.
* Ability to lead research projects.
* Experience in the presentation of research-based results at national
and international conferences.
* Experience with writing research reports.
* Evidence of acquiring research funding.

KEY BEHAVIOURAL COMPETENCIES:
* Ability to work independently or as part of a team.
* Ability to effectively liaise and communicate with public, students,
colleagues, and other stakeholders at various levels and from diverse
backgrounds.
* Demonstration of language proficiency in order to function optimally
in the various multilingual environments of SADiLaR.
* Strong interest in the advancement of under-resourced South African
languages.

REMUNERATION
The annual total remuneration package will be commensurate with the
level of appointment as advertised and in line with the NWU policy
guidelines.

ENQUIRIES REGARDING JOB CONTENT MAY BE DIRECTED TO: Prof. Menno van
Zaanen, E-mail: Menno.VanZaanen at nwu.ac.za

ENQUIRIES REGARDING RECRUITMENT PROCESS MAY BE DIRECTED TO: Mr. Byron
Louw, Tel No. 018 285 2304

CLOSING DATE: 20 April 2025

PLANNED COMMENCEMENT OF DUTIES: As soon as possible

Kindly take note: applications must be submitted online through the
official nwu vacancy website.

Incomplete applications and those submitted through any other platform
will not be considered.

Application link: https://bit.ly/4iUSSAN

--
Prof Menno van Zaanen     menno.vanzaanen at nwu.ac.za
Professor in Digital Humanities
South African Centre for Digital Language Resources
https://www.sadilar.org
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