The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences within Switzerland. We perform cutting-edge research in the fields of matter and materials, energy and environment and human health. By performing fundamental and applied research, we work on sustainable solutions for major challenges facing society, science and economy. PSI is committed to the training of future generations. Therefore about one quarter of our staff are post-docs, post-graduates or apprentices. Altogether PSI employs 2100 people.
For the Muon Physics group we are looking for aPhD StudentYour tasksApplications are invited for an Early Stage Researcher (ESR) position intended to lead to a PhD degree in Physics at the ETH Zurich (Switzerland). The ESR position is available as part of the Marie Skłodowska-Curie Innovative Training Network (ITN) “INTENSE” (Grant Agreement Number: 858199, website: itnintense.df.unipi.it/). The INTENSE programme is focused on experimental particle physics, particle accelerators and particle detectors including e.g. neutrino, flavor, dark matter, or BSM (Beyond the Standard Model) searches.
The objective is to strongly contribute to the running MEG-II experiment, the incoming Mu3e experiment and to the design of the new High Intensity Muon beam lines at PSI. It will include detector developments, data taking and analysis and search for charged lepton flavor violating decays and exotic particles with the MEGII and Mu3e apparatus. The employment contract with PSI will also lead to a PhD degree at the ETH Zurich.Your profile
You hold a Master's degree or equivalent degree in Physics
High level and proven accomplishment with excellent background in particle physics and in physics of fundamental interactions
Strong knowledge and demonstrated hands-on experience in particle and radiation detectors development, commissioning and operation; development and optimization of calibration algorithms and procedures; development of Monte Carlo simulations; data analysis and advanced statistical methods for data analysis; C/C++ programming
Good knowledge of FPGAs and microcontrollers, firmware, algorithms and software, embedded systems with Linux/Windows embedded environment and C/C++ programming, control and DAQ systems, performance simulations, experimental characterization, troubleshooting and qualification would be an advantage
Ability to produce scientific/technical reports
High motivation to learn and develop new technologies and creativity in applying them to relevant applications; collaborating on projects with external partners; research and innovation processes
Achieving results: planning and implementing tasks with a structured and organized approach; setting and reviewing priorities keeping in mind the expected results; Contributing actively to delivering results in an efficient and effective manner
Strong interpersonal skills and capability to work both in a team and independently
Independent/critical thinking as well as persistence in front of setbacks and self-discipline are important qualities taken into consideration
You have excellent oral and written communication skills in English (C1 level), basic knowledge of German or Italian would be an advantage
Please check your compliance with the special mobility rules that can be found here: LinkWe offerOur institution is based on an interdisciplinary, innovative and dynamic collaboration. You will profit from a systematic training on the job, in addition to personal development possibilities and our pronounced vocational training culture. If you wish to optimally combine work and family life or other personal interests, we are able to support you with our modern employment conditions and the on-site infrastructure.
For further information please contact Dr Andreas Knech phone +41 56 310 21 13.
Please submit your application online (including addresses of referees) by 31 October 2020 for the position as a PhD Student (index no. 3203-01).
Paul Scherrer Institut Human Resources Management, Silja Giacomini-Diebold, 5232 Villigen PSI, Switzerlandwww.psi.chApply nowApply with xeebo
