Work with me as a post-doctoral or ambitious doctoral researcher to develop Bayesian statistical specifications and implement their estimation in the statistical programming language ‘Stan’ to reconcile education indicators at different ages along cohort lines. This is a joint project by the International Institute for Applied Systems Analysis (IIASA), where this position will be based (near Vienna, Austria), the Global Education Monitoring Report, and the UNESCO Institute for Statistics.
Full details are available here:
This is genuinely a one-of-a-kind opportunity that will allow you to both directly influence how SDG 4 indicators are tracked by the UN and to add to your portfolio of rigorous academic statistical research. For instance, a pre-cursor project led to the following publication in the Journal of the Royal Statistical Society:
https://academic.oup.com/jrsssc/article/71/5/1822/7073267
For a doctoral researcher, we could help arrange academic supervision at the University of Vienna or the University of Linz.
For this particular role, a prior interest or experience with education indicators is helpful but less crucial than technical methodological expertise and statistical creativity and problem-solving skills.
The application deadline is May 7.
By the way, your workplace would be in an old Habsburg summer palace…