PhD student in Experimental Neutrino Astrophysics with Deep Learning - Hiring in process/Finished, not possible to apply

The Department of Physics and Astronomy at Uppsala University is one of the largest and strongest environments for both theoretical and experimental research in physics and astronomy. The department is strongly involved in research carried out at national and international research infrastructures for which we also develop and manufacture advanced instruments. The High Energy Physics Division focuses its research on three areas: high-energy physics at collider experiments, particle theory, and astroparticle physics with neutrinos.

Read more about our benefits and what it is like to work at Uppsala University

Duties/Project description

The astroparticle physics group is involved in the IceCube neutrino observatory at the South Pole, engaged in the in-ice radio technique with the experiments ARIANNA and RNO‑G, and works towards building the next-generation facility IceCube-Gen2. The successful candidate will work at the intersection of experimental neutrino physics and state-of-the-art deep learning to develop analysis and reconstruction methods for high- and ultra-high-energy neutrinos. The successful candidate will work in an international team and will be part of the RNO-G and IceCube(-Gen2) collaborations.

Requirements
To meet the entry requirements for doctoral studies, you must

• hold a Master’s (second-cycle) degree in physics, or a related field with excellent results
• have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15 credits, or
• have acquired substantially equivalent knowledge in some other way.

Excellent communication and writing skills in English, as well as the ability to work both independently and collaboratively, are required. Applications may be submitted by candidates that have not fully completed the Master of Science degree (or equivalent) -  however, all applicants should state the earliest feasible starting date of employment.

Additional qualifications

Good Python programming and data analysis skills are a benefit but there will be opportunities to improve those skills. Experience in radio detection of cosmic rays or neutrinos and/or deep learning is a merit.

The application should include a statement of research interests and relevant experience, a CV and a transcript of grades (please indicate grading system if not evident). You are encouraged to provide the names and contact information for 2-3 people who can act as references.

Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines.

About the employment
The employment is a temporary position according to the Higher Education Ordinance chapter 5 § 7. Scope of employment 100 %. Starting date 1 September or as agreed. Placement: Uppsala

For further information about the position, please contact: Dr. Christian Glaser (christian.glaser@physics.uu.se). 

Please submit your application by 22 May 2023, UFV-PA 2023/1449.

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