[Apologies for cross-posting]
I am looking for a PhD student interested in studying explainable semantic change detection.
Current computational approaches to modeling synchronic and diachronic semantic change achieve considerable success as measured by scores in shared tasks and the number of research papers. But they are mostly non-transparent and obscure for historical linguists and lexicographers. One of the reasons is that these methods lack explanatory power. This PhD project is supposed to address this issue. The overall aim is to transform numerical change predictions into human-readable explanations linked to rich linguistic tradition of semantic shift categorization.
We will define particular paths towards this aim jointly, in discussion with the PhD student.
The position is fully-funded and linked to the Language Technology Group (LTG) in the Machine Learning Section at the Department of Informatics, University of Oslo (UiO), Norway. The fellowship period is 3 years, starting no later than August 2023. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance.
For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/239381/phd-research-fellow-in...
The application deadline is February 28th, 2023.
Please feel free to contact me for any further information.