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Position: Postdoc Position (f*m)
Institution: Österreichische Akademie der Wissenschaften
Location: Wien, Austria
Duties: Lead the development of a search for dark matter in scenarios with a long-lived co-annhihilation partner and apply it to CMS Run 2 and 3 data; Work with unconventional experimental signatures, such as long-lived particle decays and low-momentum objects including development and optimization of their reconstruction and identification; Make use of novel data processing and analysis approaches
Requirements: PhD in experimental particle physics; Excellent data analysis, computing and programming skills, notably C++ and Python; Interest in, and experience with, modern machine learning techniques; Solid communication skills and full English language proficiency
   
Text: Job ID: HEPHY 156 PD 222 The Institute for High Energy Physics ( HEPHY ) of the Austrian Academy of Sciences ( OeAW ), Austria â s leading non - university research and science institution, performs a rich experimental particle physics research program participating in accelerator and non - accelerator - based experiments. The institute has significant involvements in Compact Muon Solenoid (CMS) experiment at CERN, the Belle II exper iment at KEK, several direct Dark Matter P OSTDOC P OSITION ( F * M ) on a search for long - lived particles in CMS using machine learning techniques (full - time, 40h per week) Your tasks: ⢠Lead the development of a search for dark matter in scenarios with a long - lived co - annhihilation partner and apply it to CMS Run 2 and 3 data ⢠Work with unconventional experimental signatures, such as long - lived particle decays and low - momentum objects including development and optimization of their reconstruction and identification ⢠Make use of novel data processing and analysis approaches ⢠Play a leading role in the subject within the CMS collaboration ⢠Supervise a PhD thesis on the subject Your profile: ⢠PhD in experimental particle physics ⢠Ability to carry out an independent research program ⢠Excellent data analysis, computing and programming skills, notably C++ and Python ⢠Interest in, and experience wit h, modern machine learning techniques ⢠Capability to work in an international environment ⢠Solid communication skills and full English language proficiency Our offer: ⢠Work in a lively and constructive research environment collaborating with international experts in the field ⢠Membership in the CMS collaboration, participation in working meetings, interaction with other CMS teams ⢠An opportunity to live in Vienna, one of the world's highest living standard cities ⢠Regular travels to CERN and international conferences ⢠An annual gross salary of ⬠56.861,00, according to the salary scheme of the Austrian Science Fund ( FWF ) ⢠The position is offered for a period of th ree years We invite you to send your application with a CV, a statement of research interests, and a list of publications you significantly contributed to, by e - mail to ivan.mikulec@oeaw.ac.at with a copy to hephy - office@oeaw.ac.at mentioning Job ID HEPHY156PD222 e - mail address. The application deadline is December 31 st , 2022 . Application s will be considered until the position is filled. The Austrian Academy of Sciences (OeAW) pursues a non - discriminatory employment policy and values equal opportunities, as well as diversity. Individuals from underrepresented groups are particularly encou raged to apply.
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