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The assistant professor will perform three roles: teaching, research, and statistical consultancy. As teacher of statistics course(s) at the bachelor and master levels in the study programs Health Sciences and Global Studies, and possibly also in another bachelor program, you will be involved in all teaching aspects, including development, coordination, implementation and assessment. As researcher, you will do statistical research independently, but in collaboration with your colleagues of the interfaculty Methodology & Statistics department of the Faculty of Health, Medicine and Life sciences (FHML) and the Faculty of Psychology and Neuroscience (FPN). Your research is preferably, but not necessarily, in one of the four following domains: causal inference, Bayesian inference, multilevel/mixed regression modeling, structural equations modeling. . Consultancy will be both to students (statistics advising for theses) and to staff.
We offer a full-time position (38 hours/week) at the Department Methodology of the Faculty of Health, Medicine and Life Sciences.
You will be employed temporarily for 12 or 18 months (depending on your employment history) as assistant professor (level 2) and will co-develop and agree to specific development goals. Towards the end of this contract period and upon satisfactory performance, this initially 12 or 18 months position will become permanent. Your development goals will also allow you to grow further to the position of assistant professor (level 1).
The salary depends on academic qualifications and experience. The salary will be set between minimum gross month salary € 3,974 and maximum gross month salary of
€ 5,439 based on a full-time employment and in accordance with scale 11 of the Collective Labour Agreement of the Dutch Universities. For people recruited from abroad a reduced income tax rate may apply.
Maastricht University has attractive employment conditions, which include a pension scheme, holidays, holiday allowance (8%) and an end of year bonus (8.3%) and partially paid parental leave.
The university’s relocation policy stipulates that you need to move to (the vicinity of) Maastricht. If not already living in Maastricht (or its surroundings), you could be eligible for an allowance for moving costs.
The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl > About UM > Working at UM.
Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 22,000 students and about 5,000 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.
For more information, visit www.maastrichtuniversity.nl.
The assistant professor will work in the Department of Methodology and Statistics of the Faculty of Health, Medicine and Life Sciences. This Department works closely together with the dept. of Methodology and Statistics of the Faculty of Psychology and Neuroscience of Maastricht University, under a common leadership. Together, these two departments comprise 17 staff members from PhD student to full Professor, and provide the statistics education in six different Bachelor programs and various master and PhD courses. Current research is on multilevel/mixed models, mixture models, clustering techniques, optimal design and sample sizes, missing data methods, and reliability and agreement analysis of intensive longitudinal data. Further, the department offers statistical consulting and support for advanced data analyses to researchers from other departments.
Maastricht University (UM)
P. Debyeplein 1, 6229 HA, Maastricht
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