The successful candidate is expected to play a leading role within the IceCube collaboration, especially on neutrino astrophysics topics related to the recently installed Upgrade. Research focused on areas of deep learning, low energy astrophysics, and/or multimessenger astronomy will be given priority. In addition, the successful candidate will be responsible for enhancing the interface between SNEWS and other multi-messenger experiments as a member of the ACME project.
PhD degree in physics or astronomy or a foreign degree equivalent to a PhD degree. The degree needs to be obtained by the time of the decision of employment. Priority will be given to applicants who have completed their degree no more than three years before the deadline for applications. Due to special circumstances, the degree may have been obtained earlier. The three-year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.
Proficiency in spoken and written English is required.
Experience in software programming including proficiency in Python and deep learning, data analysis, neutrino astrophysics and/or neutrino detection will be considered assets. Candidates should be able to work independently, as well as integrate into the framework of a large collaboration.