Postdoctoral Fellow in Neutrino Astroparticle Physics with IceCube
Postdoctoral Fellow in Neutrino Astroparticle Physics with IceCube
Stockholm University
Stockholm, Sweden
Project description
The IceCube Neutrino Observatory at the South Pole, Antarctica, pursues a broad array of science objectives from particle physics to astronomy. IceCube discovered the cosmic high-energy neutrino flux in 2013, and has started to associate some of these neutrinos with supermassive black holes in active galaxies. IceCube has also recently made the first observation of neutrino emission from the Milky Way galaxy, thanks to improved data selection techniques with deep learning applied to previous data. This, combined with the continued acquisition of new data while the experiment prepares for the IceCube Upgrade, means many opportunties for significant progress are at hand.
Main responsibilities
The applicant will be expected to take part in and lead activities in one or more of the following areas, depending on research experience: identification and characterization of extragalactic and galactic sources of the neutrino flux; design and application of machine learning and neural networks for identifying and reconstructing neutrino events; design of the next generation of neutrino observatories including IceCube-Gen2.
Qualification requirements
Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country.
Assessment criteria
The degree must have been completed at latest before the employment decision is made, but no more than three years before the closing date. An older degree may be acceptable under special circumstances. Special reasons refer to sick leave, parental leave, elected positions in trade unions, service in the total defense, or other similar circumstances as well as clinical attachment or service/assignments relevant to the subject area.
In the appointment process, special attention will be given to research skills in either data analysis, machine learning, and/or computer simulation that are compatible with the responsibilities above. Previous experience with neutrino telescopes and demostrated leadership abilities are additional merits.
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