Stellenbosch University
1 month ago
Postdoctoral Research Fellowships in Scientometrics, Bibliometrics, and STI Policy Stellenbosch University in South Africa
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two postdoctoral research fellowships are offered; the post does not specify stipend amount, tuition, or other financial details.
Country
South Africa
University
Stellenbosch University
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About this position
Postdoctoral Research Fellowship opportunities are available at the Centre for Research on Evaluation, Science and Technology (CREST) and SciSTIP, the NRF-DSTI Centre of Excellence in Scientometrics and STI Policy, at Stellenbosch University in South Africa.
The positions are part of a research team led by Professor Johann Mouton and focus on scientometrics, bibliometrics, science, technology and innovation (STI) studies, sociology and history of science, and research on the state of science in Africa. The post is especially suitable for early-career researchers interested in science systems, research evaluation, and STI policy.
Applicants should hold a PhD awarded within the past five years. Strong candidates will have quantitative training in areas such as Computer Science, Data Science, Information Science, Physics, Engineering, Agriculture, Mathematics, or Statistics, along with experience working with large relational databases, advanced programming skills in R, SQL, Python, or similar languages, and a strong publication record.
This is a postdoctoral opening rather than a scholarship. The post is based at Stellenbosch University, South Africa. Interested candidates should follow the linked post for application details and submit the required materials through the provided application route.
Funding details
Two postdoctoral research fellowships are offered; the post does not specify stipend amount, tuition, or other financial details.
What's required
Applicants should hold a PhD awarded within the past five years and have a strong interest in science systems, research evaluation, and STI policy. Competitive applicants will have strengths in one or more quantitative disciplines such as Computer Science, Data Science, Information Science, Physics, Engineering, Agriculture, Mathematics, or Statistics, plus experience with large relational databases, advanced programming skills in R, SQL, Python, or similar languages, and a strong publication record demonstrating scientific writing and research excellence.
How to apply
Use the linked application post to access the fellowship details and application instructions. Prepare evidence of your PhD date, research background, programming/database skills, and publication record before applying.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.