Research Associate in Statistics ( University of Luxembourg)

Contract Type: Fixed Term Contract Duration: 24 Months Work Hours: Full Time, 40 Hours per Week Location: Belval Campus, University of Luxembourg Internal Title: Research Scientist Job Reference: UOL07696 About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg 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 the society and environment we live in. Your Role Conduct research in risk analysis and statistical modelling of complex actuarial data Plan quality research, project manage scientific activity, and supervise the research team in cooperation with the Professor Conduct, on own initiative, research and/or develop own research projects in the above-mentioned area Identify, apply for, and manage research funding as well as allocate project resources Disseminate research at international conferences and to the actuarial industry Teaching activity of up to 90 hours per year in the new Master of Actuarial Science, including developing new courses for the Master Contribute to student assessment activities, including writing and reviewing assignments and questions for course components Supervise master students carrying out practical work May participate in dissertation supervisory committees Actively participate in and support the organization of the activities of the research group Team MIDAS and of DMATH Your Profile PhD of high quality, ideally in Actuarial Science, Statistics, Economics, or Finance Interest in interdisciplinary work, especially in actuarial/economic/finance research Detailed knowledge of relevant models, techniques, and methods, and able to develop new ones Demonstrated success in planning related work, building a team, and delivering research results Proven ability to formulate advice on and manage teaching and/or research programmes/projects Experience in programming languages such as Python or R Very good written and oral skills in English Capacity to integrate into a team and collaborate with its members, in particular with the researchers hired under the Chair in Applied Statistics of Actuarial Science We Offer 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 numerous non-academic partners such as ministries, local governments, associations, NGOs How to Apply Applications should include: Curriculum Vitae Cover Letter Early application is highly encouraged, as applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. Wenn Sie sich auf diese Stelle bewerben, erwähnen Sie bitte dass Sie sie auf Universitoxy gesehen haben.

Contract Type: Fixed Term Contract
Duration: 24 Months
Work Hours: Full Time, 40 Hours per Week
Location: Belval Campus, University of Luxembourg
Internal Title: Research Scientist
Job Reference: UOL07696

About the FSTM

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg 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 the society and environment we live in.

Your Role

Conduct research in risk analysis and statistical modelling of complex actuarial data
Plan quality research, project manage scientific activity, and supervise the research team in cooperation with the Professor
Conduct, on own initiative, research and/or develop own research projects in the above-mentioned area
Identify, apply for, and manage research funding as well as allocate project resources
Disseminate research at international conferences and to the actuarial industry
Teaching activity of up to 90 hours per year in the new Master of Actuarial Science, including developing new courses for the Master
Contribute to student assessment activities, including writing and reviewing assignments and questions for course components
Supervise master students carrying out practical work
May participate in dissertation supervisory committees
Actively participate in and support the organization of the activities of the research group Team MIDAS and of DMATH

Your Profile

PhD of high quality, ideally in Actuarial Science, Statistics, Economics, or Finance
Interest in interdisciplinary work, especially in actuarial/economic/finance research
Detailed knowledge of relevant models, techniques, and methods, and able to develop new ones
Demonstrated success in planning related work, building a team, and delivering research results
Proven ability to formulate advice on and manage teaching and/or research programmes/projects
Experience in programming languages such as Python or R
Very good written and oral skills in English
Capacity to integrate into a team and collaborate with its members, in particular with the researchers hired under the Chair in Applied Statistics of Actuarial Science

We Offer

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 numerous non-academic partners such as ministries, local governments, associations, NGOs

How to Apply

Applications should include:

Curriculum Vitae
Cover Letter

Early application is highly encouraged, as applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

Wenn Sie sich auf diese Stelle bewerben, erwähnen Sie bitte dass Sie sie auf Universitoxy gesehen haben.

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