Chair of Artificial Intelligence in Engineering (W2)

Discover new things, drive projects, take responsibility: At the University of Bonn-Rhein-Sieg (H-BRS) we count on employees who do exactly this. Together with our more than 150 professors, we will find new solutions to help find suitable answers to the diverse challenges of our time. We do this so that the H-BRS with its approximately 9,000 students from more than 100 nations will become even better in currently around 40 degree programs. Are you taking the challenge? In the Department of Engineering and Communications, Campus Sankt Augustin, one is Chair of Artificial Intelligence in Engineering (W2) indefinitely.

You conduct courses in topics of artificial intelligence in the courses of mechanical engineering, electrical engineering, sustainable engineering and in basic subjects of the engineering sciences of the department in German and English implement, acquire and manage third-party funding projects and participate in the transfer of science with your research activities strengthen the research profile of the department in research fields of machine learning and AI in engineering applications, such as predictive maintenance, AI-based regulations, edge AI, AI for environmental and climate monitoring, image recognition in industrial applications, etc. support national and international, interdisciplinary cooperation with institutions from business, science and society are involved in the university's self-management actively contribute to the implementation of the objectives of the University Development Plan, in particular the sustainability objectives

You fulfil the conditions of recruitment according to § 36 of the German Higher Education Act NRW completed relevant university studies special skills for scientific work (promotion)

a minimum of 5 years of relevant professional activity, of which at least 3 years outside the higher education sector are ready and able to conduct courses in German and English continuous willingness to contribute to the development and development of our courses and to the establishment of innovative, digital forms of teaching willingness to reflect and integrate both gender and diversity aspects as well as sustainability as quality features in the fields of teaching, research and transfer have a proven multiannual professional practice outside the university with deeper experience in the implementation and application of methods and algorithms of machine learning in engineering practice, such as predictive maintenance, AI-based regulations, edge AI, AI for environmental and climate monitoring, image recognition in industrial applications, etc. have experience of incorporating AI libraries in modern programming languages for industrial PC and microcontroller applications have expertise and application competencies with regard to the above fields have educational skills In addition, you have probably already gained teaching experience at universities or comparable institutions. It is also desirable to experience third-party funding for research and development projects and good networking in the national and international community of researchers. You will also have the willingness to work with colleagues from other disciplines in an interdisciplinary field. The offer of elective subjects in the interdisciplinary context is also desirable.

We as an employer offer an exciting place with compensation group W 2 LBesG NRW as well as the acquisition of attractive research and development tasks enable family-friendly conditions with flexible working time models, mobile work and childcare facilities support our new enthusiasts with an extensive individual high-global programme enable further and further training opportunities for professional and personal development are part of an internationally oriented scientific region The H-BRS is strong for equal opportunities and diversity. We wish more scientists at our university. Women are preferably taken into account with the same suitability, ability and professional performance. The H-BRS is a certified family-friendly university and proud of it. Disabled people and those like this are part of our university – inclusion is an important concern to us. The place is also suitable for part-time. JOBV1_EN