Research Fellow

vor 4 Wochen


Krems an der Donau, Österreich Donau-Universität Krems Vollzeit

To strengthen our team **in the Department for Integrated Sensor Systems** the following position is filled:
Advertisement No. SB23-0177

**Research Fellow (M/F/d)**

**Your tasks**

The University for Continuing Education Krems specializes in part-time academic continuing education. As a public university for continuing education, it works with its expertise in teaching and research to overcome societal challenges and tailors its study programs to address them. With 8,000 students coming from 85 countries, the University for Continuing Education Krems combines its many years of experience in university-based continuing education with innovation to provide outstanding quality in research and teaching at an international level. Situated 60 km from Vienna in the alluring world heritage region Wachau, Campus Krems is a highly attractive location.

The advertised position is part of the FFG project “AI-RoboSens” (Detection of energy waste in industrial factories using autonomous robots, sensor technology and AI evaluation) coordinated by Prof. Hubert Brückl. Modern production facilities and infrastructure contribute to unnecessary waste of resources in several ways and thereby contribute to greenhouse gas emissions. The main challenge that exists today is how to economically detect all the different “sources of waste”. The typical production facility is very complex, hosts several thousands of different components as well as maintains a complex infrastructure to run the necessary production processes (e.g., steam, compressed air). The project aims to significantly reduce the effort to identify the sources of waste by fully automating the detection of “sources of waste” in facilities. This is done by using a modern and highl

**Your tasks**:
Independent research and research assistance in the “AI-RoboSens” project

Documentation of the research and its results

Publishing research findings in international peer-reviewed scientific journals

Engaging in collaborative research

**Your profile**

Master's degree in technical field of study (e.g., computer science, physics, electrical engineering, mathematics, or similar)

Experience in at least one of the topics: programming, evaluating large amounts of data, machine learning, sensor technology (proven e.g. in a publication, in a master's thesis etc.)

Good communication skills and knowledge of German and/or English (min. B2)

Willingness to work in a team

**In addition, the following criteria are desirable**:
Previous work experience in academic research

Programming skills, e.g., Python

Experience in machine learning

**Your perspective**

Part-time position (20 hours/week), in a project funded by third parties, initially limited until 31 May 2026, with a minimum salary of EUR 3,277.30 gross per month on a full-time basis (classification as a scientific project staff member according to collective agreement of universities -49 VwGr. B1)

Innovative and modern working environment at the TFZ in Wiener Neustadt

Possibility of home office and mobile working (max. 42% of working hours)

Very good opportunities for further education within the framework of our own study programs, extensive offer of workplace health promotion as well as the University Sports Institute (USI)

The University of Continuing Education Krems sees high innovation potential in the diversity of its employees and is committed to diversity as a guiding principle.

At the same time, it aims to increase the proportion of women and expressly invites qualified women to apply. Women are given priority in the case of equal qualifications.

**30 September 2023**.

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