Position:	PhD or Postdoctoral position, Machine learning in the Social Sciences and Humanities
Institution:	Universität Basel
Location:	Basel, Switzerland
Duties:	In addition to the academic qualification at the University of Basel, the assistant's tasks include participation in teaching (2 hours per week per semester), academic administration, and cooperation in the supervision of students and the scientific projects of the Digital Humanities Lab. Specifically, the candidate will be working closely with incoming Associate Professor Rosa Lavelle-Hill on projects that intersect social science topics and data science/machine learning methods
Requirements:	A master's degree or equivalent (licentiate, Magister Artium) and a doctorate (for the post-doc position) in either digital humanities, computer science or data science (with an interest in applications to the social sciences/digital humanities) or in a social science or humanities discipline (e.g., psychology, sociology, economics, cognitive science, political science, education science, media studies) where experience in data/computer science methods and coding can be demonstrated
Text:	PhD or Postdoctoral position, Machine learning in the Social Sciences and Humanities In addition to the academic qualification at the University of Basel, the assistant's tasks include participation in teaching (2 hours per week per semester), academic administration, and cooperation in the supervision of students and the scientific projects of the Digital Humanities Lab. Specifically, the candidate will be working closely with incoming Associate Professor Rosa Lavelle-Hill on projects that intersect social science topics and data science/machine learning methods A master's degree or equivalent (licentiate, Magister Artium) and a doctorate (for the post-doc position) in either digital humanities, computer science or data science (with an interest in applications to the social sciences/digital humanities) or in a social science or humanities discipline (e.g., psychology, sociology, economics, cognitive science, political science, education science, media studies) where experience in data/computer science methods and coding can be demonstrated

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