Mathematical Statistics Professorship

1 month ago


Copenhagen, Copenhagen, Denmark IT-Universitetet i København Full time
Job Description

The IT University of Copenhagen invites applications for a faculty position as assistant professor or associate professor in mathematical statistics. The successful candidate will be part of the Danish Institute for IT Program Management and the Computer Science Department, conducting research and teaching activities in collaboration with fellow faculty members.

Key Responsibilities
  • Conduct research activities in mathematical statistics, including frequentist, Bayesian, and likelihood-based inference statistics.
  • Teach courses in statistics and mathematics, including experimental design and statistical methods.
  • Supervise PhD students and contribute to the IT University's education programs.
  • Engage with society through external collaboration and participate in securing external funding.
  • Contribute to the IT University's strategic goals and vision.
Requirements
  • PhD in statistics or mathematics with a strong emphasis on foundational statistics and its applications.
  • Expertise in frequentist, Bayesian, and likelihood-based inference statistics through research and teaching experience.
  • Experience in the design of experiments and application of statistical methods.
  • Experience with R statistical software.
  • Strong communication and interpersonal skills.
  • Ability to work effectively in a collaborative academic environment.
  • Publications of research at a high international level in well-respected peer-reviewed venues.
Working at the IT University

The IT University of Copenhagen is a teaching and research-based tertiary institution concerned with information technology (IT) and the opportunities it offers. The university has a diverse and international environment, and we value diversity as a valuable resource.

How to Apply

Applications should include a motivated application, a full CV, documentation of academic degrees, a statement of purpose, and copies of relevant publications. Applications without the required documents will not be assessed.



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