2 PreDoc Scientists (all genders welcome)

 
Published
Closing Date
WorkplaceKlagenfurt, Kärnten, Austria
Category
Position

Description

Department of Applied Informatics, Research Group Adaptive and Networked Production Systems

The University of Klagenfurt is pleased to announce the following open positions:

2 PreDoc Scientists (all genders welcome)

at the Faculty of Technical Sciences, Department of Applied Informatics, Research Group Adaptive and Networked Production Systems . This is a full-time position limited to 3 years (30 September 2023; based on Uni-KV: B1; ?url=www.aau.at%2Fen%2Funi-kv&module=jobs&id=25553" target="_blank" rel="nofollow">www.aau.at/en/uni-kv ). The minimum monthly gross salary amounts to ¤ 2,929.- paid 14 times per year and can be increased to a maximum of ¤ 3,472.40 (lit. a) by taking previous experience into account. The expected starting date is 1 October 2020 .

Participation in research and teaching activities of the Research Group Adaptive and Networked Production Systems

Independent research with the goal of doctoral promotion within the period of appointment

Dedicated collaboration in administrative and organizational tasks of the department

Project collaboration with academic and industrial partners of the research group

Participation in public relations activities of the department and faculty

The Research Group Adaptive and Networked Production Systems performs research and teaching on innovative methods and applications of Artificial Intelligence in the context of Industry 4.0. A particular focus is laid on the development and advancement of declarative problem-solving methods enabling highly flexible planning and control of complex operational tasks arising in industrial and social environments. Primary research activities concern the conception and implementation of dynamic, interactive and real-time optimization methods, improving the automation and efficiency of production processes, supply chains and personnel management. The Department of Applied Informatics is linked to international partners in science and industry and provides excellent collaboration opportunities.

Completed Master’s or Diploma studies with substantial focus on Informatics (e.g., in Informatics, Business Information Systems, Information Management or Data Science) at a domestic or foreign higher education institution

Basic knowledge and practical experience in one or more of the following areas:

Proof of fulfilment of the required qualifications is to be provided together with the application documents, preferably, or by 11 September 2020 at the latest.

First scientific publication(s) (in addition to the Master’s or Diploma thesis)

International and practical experience specific to the position

Teaching experience and didactic competence

The position aims at the advanced professional and scientific training of graduates of a Master’s or Diploma study programme with the goal of doctoral promotion in Applied Informatics. Applicants with a completed Doctorate or Ph.D. in a related discipline are therefore ineligible for the position.

The University of Klagenfurt aims to increase the proportion of women in scientific positions, especially in leadership, and therefore encourages qualified women to apply for the position. In case of equivalent qualification, women are accepted preferentially.

People with disabilities or chronic diseases, who fulfill the requirements, are particularly encouraged to apply.

General information for applicants can be found at ?url=www.aau.at%2Fen%2Fjobs%2Finformation&module=jobs&id=25553" target="_blank" rel="nofollow">www.aau.at/en/jobs/information .

Applications comprising all relevant information for reference code 381/20 must be submitted online by 5 August, 2020 by pressing the button "Apply for this position".

Travel and accommodation costs incurred during the application process will not be refunded.

Web

In your application, please refer to myScience.at and reference JobID 25553.


More job offers worldwide on jobs.myScience.org


This site uses cookies and analysis tools to improve the usability of the site. More information. |