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Computer Sciences Professor Rhineland-Palatinate University

  • Professorship for Artificial intelligence, especially machine learning (Salary grade W 2)

    2023-03-27 Hochschule Koblenz Koblenz Professorship for Artificial intelligence, especially machine learning (Salary grade W 2) - Hochschule Koblenz - Logo
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Professorship for Artificial intelligence, especially machine learning (Salary grade W 2)

Published
2023-03-27
Application deadline
2023-05-07
Hochschule Koblenz
Koblenz
HS Koblenz - Logo

Koblenz University of Applied Sciences (www.hs-koblenz.de) with its locations in Koblenz, Remagen and Höhr-Grenzhausen offers higher education programmes, postgraduate courses and applied research with a comprehensive range of contact teaching and distance learning courses.
The following professorship is to be filled in the Faculty of Engineering at our campus in Koblenz at the earliest possible date:

Professorship for Artificial intelligence, especially machine learning
(Salary grade W 2)

Part-time employment is generally possible.

The position holder represents the subject area in teaching and research. We are looking for a Qualified personality with comprehensive competence and professional experience, who will teach artificial intelligence, in particular machine learning, in a new degree program in intelligence, in particular machine learning, in teaching, research and its application in the classical engineering fields (electrical engineering, mechanical engineering, etc.) in the engineering represents.
In addition to pedagogical-didactic aptitude, the prerequisites are a university degree in the field of engineering sciences, computer science or comparable subjects as well as several years of practical experience in this field as well as a qualified doctoral degree, preferably in the subject areas of the teaching field.
Expected are:
  • profound knowledge of the fundamentals and basic technologies of the teaching area,
  • practical experience in the application and implementation of AI methods in an engineering environment,
  • good knowledge of hardware and software for the application of AI methods,
  • sound knowledge of evaluating the economic viability, benefits and risks of AI systems,
  • Collaboration in research projects for knowledge transfer to the regional economy.
In addition to a willingness to teach foundational modules, experience and knowledge of IoT, Big Data, algorithms and databases are advantageous in order to generate further teaching offers from this.
As a modern university of applied sciences, we offer a family-friendly, collegial working environment. Your area of work will also include scientific collaboration and/or student support in the supervision of laboratory and internship activities.
A high quality of teaching and supporting the students in their learning processes is an important concern for us. This includes the readiness for blended learning, online teaching and teaching evaluation, the implementation of teaching in German and English and a weekly on-site presence, which ensures qualified advice and regular contact with students as well as participation in the self-governing bodies of the university. The applicant is expected to agree with the mission statement and quality concept of the university.
The hiring requirements for professors result from § 49 of the Higher Education Act of the State of Rhineland-Palatinate (HochSchG).
Koblenz University of Applied Sciences advocates diversity, equal opportunities and work-life balance. Koblenz University of Applied Sciences promotes women. Women will be given preferential consideration in the case of equivalent suitability, ability and professional performance, as there is an under-representation in the area of professorships at Koblenz University of Applied Sciences (§ 3 para. 8 State Equal Opportunities Act RLP). Therefore, qualified female academics are expressly invited to apply. Severely disabled persons are given preference in the case of equal suitability.
Please send your complete application documents (curriculum vitae, references, publication list and, if applicable, proof of teaching activities) in one PDF file until 07th Mai 2023 to the Dean of Engineering, Prof. Dr. Thomas Schnick, e-mail: schnick@hs-koblenz.de.
The provision of electronic documents via cloud services is not accepted.
HS Koblenz - familie
Koblenz University of Applied Sciences has a daycare center close to the university with optional places for the children of lecturers and staff. In addition, we offer vacation recreational activities for children of university employees.
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