University assistant predoctoral

vor 2 Wochen


Klagenfurt am Wörthersee, Österreich Alpen-Adria-Universität Klagenfurt Vollzeit € 50.103

The University of Klagenfurt is pleased to announce the following open position at either the Department of Economics (Quantitative Economics Division) at the Faculty of Management, Economics & Law or at the Department of Networked and Embedded Systems (Smart Grids Group) at the Faculty of Technical Sciences, to be filled at the earliest possible date:
in German: Universitätsassistent:in)
within the Ada Lovelace Programme (project title: Streaming of Holographic Content and its Impact on the Quality of Experience). Participation in the interdisciplinary research project «A Machine Learning Approach to Smart Electricity Load Management: From Disaggregation to Policy Impact Evaluation», combining the expertise of the two above-mentioned departments
Independent research within the above-mentioned project with the aim of submitting a dissertation and acquiring a doctoral degree
Diploma or master's degree in computer science, data science, economics, electrical engineering, information systems, information technology, mathematics, statistics or related fields (with a strong formal background) at a higher education institution
Python or R)
Fluency in English (written and spoken)
Ability to work independently in scientific projects with a focus on high quality and precision
This position serves the purposes of the vocational and scientific education of graduates of diploma or master's degree programmes and sets the goal of completing a corresponding doctoral degree according to the allocation of the position to either the Department of Economics or the Department of Networked and Embedded Systems. Applications by individuals who have already completed a subject-specific doctoral degree or a subject-relevant PhD programme therefore cannot be considered.
The successful candidate will therefore be jointly supervised by two academic professors, one from the field of computer engineering and one from the field of economics, and will be affiliated with one of the two departments.
As mentioned above, the successful candidate will work within the project «A Machine Learning Approach to Smart Electricity Load Management: From Disaggregation to Policy Impact Evaluation». This project covers both technical aspects (development/implementation of statistical and machine learning methods, algorithm design and implementation) as well as economic impact analysis (using i.a. modern micro-econometric techniques). Further information on the research project is available upon request.
If you are interested in this position, please apply in English by providing the following documents:



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