The Experimental Neutrino Physics Group (https://neutrinos.ific.uv.es/) invites applications for a PhD position in experimental particle physics at the Instituto de Física Corpuscular (IFIC, https://webific.ific.uv.es/web/). The successful candidate will join the group’s activities within the NA64 experiment at CERN (https://na64.web.cern.ch), focusing on searches for Light Dark Matter, and other physics beyond the Standard Model.
Job description:
The PhD project will be centred on the exploitation of the NA64 data collected so far as well as the optimisation and design of the experiment for the next phase after CERN shutdown. The student will be mainly involved in the electron and muon programs participating in the following activities:
- Analysis of current NA64 data and Monte Carlo simulations.
- Development of reconstruction and analysis software.
- Development of new trigger algorithms for real time analysis and detector optimisation.
- Participation in CERN test beams and data-taking campaigns.
The student will work within an international collaboration. The position offers opportunities for traveling to CERN and participation in international conferences, workshops, and schools.
The position is fully funded for 3.5 years. Applications will be reviewed on a rolling basis until the position is filled. The position is expected to start in December 2026, although the exact starting date will depend on administrative procedures.
The successful candidate will join the Experimental Neutrino Physics Group (https://neutrinos.ific.uv.es/) at the Instituto de Física Corpuscular (IFIC, https://webific.ific.uv.es/web/), to work on searches for light dark matter and other physics beyond the Standard Model within the NA64 experiment at CERN.
Requirements
Applicants must hold a Master’s degree (or equivalent) in high-energy or particle physics. Previous experience in experimental particle physics, Monte Carlo simulations or data analysis is desirable. Programming skills in Python and/or C++, as well as familiarity with ROOT, Geant 4 or machine learning techniques will be valued positively.
Application procedure
Interested candidates should submit their complete application, including a motivation letter, CV, academic transcripts and two letters of recommendation, to Dr. Laura Molina Bueno (laura.molina@ific.uv.es) by November 6th.
We are committed to fostering an inclusive and diverse research environment and welcome applications from candidates of all backgrounds.
Contact: Molina-Bueno, Laura (laura.molina@ific.uv.es)
Letters of Reference should be sent to: laura.molina@ific.uv.es
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