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Position: Postdoctoral Researcher in Mathematical Statistics
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: This position is supported by the ERC Consolidator Grant entitled “Statistical Methods for High Dimensional Diffusions”. The relevant themes include inference for stochastic processes, high dimensional statistics, minimax theory, concentration inequalities and random matrix theory
Requirements: PhD Degree (or equivalent) in mathematics or related disciplines; Good command of written and spoken English; Strong dedication to doing mathematics at a research level
   
Text: UOL04434 31-Dec-2099 The University | About us... The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide. The Faculty of Science, Technology and Medicine (FSTM) contributes multidisciplinary expertise in the fields of Mathematics , Physics , Engineering , Computer Science , Life Sciences and Medicine . Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens, in order to better understand, explain and advance society and environment we live in. Your Role... This position is supported by the ERC Consolidator Grant entitled “Statistical Methods for High Dimensional Diffusions”. The relevant themes include inference for stochastic processes, high dimensional statistics, minimax theory, concentration inequalities and random matrix theory. What we expect from you… PhD Degree (or equivalent) in mathematics or related disciplines. Good command of written and spoken English Strong dedication to doing mathematics at a research level We offer... The department offers an outstanding and dynamic environment for postdoctoral fellows, with multiple seminars, working groups, colloquia, and a doctoral school which also includes access to multiple training opportunities, including some not only focused on mathematics. In addition, our modern campus provides excellent facilities, creating an invigorating research environment. In Short... Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Student and employee status Location: Belval Internal Title: Postdoctoral researcher/Research associate Job Reference: UOL04434 How to apply... Applications should include: Curriculum Vitae Cover letter Track records Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by email will not be considered. Application deadline: 15 November 2021. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. In return you will get… Multilingual and international character . Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR). A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure. A partner for society and industry . Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … Find out more about the University Addresses, maps & routes to the various sites of the University Further information... For further information, please contact Professor Mark Podolskij at mark.podolskij@uni.lu
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