Alpen-Adria-Universitaet Klagenfurt is establishing a Karl Popper Kolleg (graduate school) entitled ”Modelling - Analysis - Simulation - Optimization of Discrete, Continuous, and Stochastic Systems with Applications in Business and Economics“. Therefore, in compliance with § 107 para. 1 Universities Act 2002, the following open positions are announced:
Up to 4 Senior Scientists without Doctoral Degree (f/m)
These are 75 % employment positions (30 hours per week; Uni-KV: B1 – cf. https://uniko.ac.at/modules/download.php?key=10916_DE_O&f=1&jt=7906&cs=66A9), limited to 36 months. The minimum gross monthly salary amounts to € 2.048,30 (14 times per year) and can increase in accordance with the provisions of the collective agreement in the case of consideration of previous occupational experience. Expected starting date is 1st October, 2017.
The position is aimed at the scientific training of graduates of a diploma or master program with the goal of a PhD thesis in science and engineering or in social sciences and economics. Applications from persons already holding such a degree can therefore not be taken into account.
Details on the program can be found on https://www.aau.at/forschung/forschungsprofil/karl-popper-kolleg/mansio/.
More information on the Karl Popper Kolleg is also provided by
Prof Dr Reinhard Neck, Tel. +43(0)463/2700-4121, Reinhard.Neck@aau.at or
Prof Dr Barbara Kaltenbacher, Tel. +43(0)463/2700-3120, Barbara.Kaltenbacher@aau.at.
Alpen-Adria-Universitaet Klagenfurt seeks to increase the ratio of women in scientific positions and therefore encourages qualified female candidates to apply. Among equally qualified applicants, women will receive preferential consideration.
People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.
For details on the application procedure see https://www.aau.at/blog/up-to-4-senior-scientists-without-doctoral-degree-fm-karl-popper-kolleg-graduate-school-entitled-modelling-analysis-simulation-optimization-of-discrete-continuous-and-stochastic/