The German International University (GIU) and the German University in Cairo (GUC) cooperate in order to expand their campus in Berlin-Tegel as a hub for education and research cooperation with German and international partners in science and industry and to develop innovative courses of study and research that complement the activities of GUC. The language of instruction is English.

Located in the heart of the German capital, the state-recognized German International University (GIU) opens its doors to attracting global talents and opportunities. The main aim of the engineering disciplines is to embrace promising ideas and turn them into tangible solutions that would benefit the society and impact technology.

The Faculty of Media Engineering and Technology invites applications for the following positions effective September 2019 (or later). Appointments are possible also for 50% of the working time.

Professor / Associate Professor in Artificial Intelligence

The successful candidate will engage in teaching, research, supervision and administrative duties. She/he will establish and lead a research group in the area of Artificial Intelligence and Data Science and actively promote graduate and undergraduate research. The appointed professor is expected to play a leading role in establishing the research group and attract third-party funded projects in any chosen areas of interest in Artificial Intelligence. The professor should actively promote research at the GIU Berlin as well as contribute to selected teaching and supervision on GUC Cairo campus to foster teaching and research collaboration.

The appointed professor should also support the teaching activities by developing and taking responsibility of courses such as Artificial Intelligence, Machine Learning, Data Science, Data Engineering, Natural Language Processing, etc. The professor will contribute to selected teaching and supervision also on GUC Cairo campus to foster teaching and research collaboration. The appointed professors will have the flexibility to develop the curricula to their own research interests.

Candidates should have solid experiences in at least two of the following fields:

• Reinforcement learning
• Deep learning, Bayesian methods
• Statistical forecasting
• Intelligent robot control and/or perception
• Interactive learning systems
• Knowledge representation and reasoning

Further qualifications

• PhD degree in Informatics, Electrical Engineering, or Electrical and Computer Engineering
• Background in AI and Data Science related topics such learning, learning by reinforcement, machine learning, neural networks
• Excellent scientific achievements, documented by internationally recognized publications
• Track record of collaborative research, ability to attract research funding, and successful supervision
• Excellent teaching ability at both the undergraduate and graduate levels
• High capacity to develop pedagogical innovations and to manage a study programme
• Excellent communication skills (oral, written, presentation)
• Proficiency in English (oral and written)

Application Instructions: Interested applicants are invited to submit their curriculum vitae including employment history, a statement outlining research and teaching interests, list of publications and projects undertaken and names of at least three referees. Applications are to be submitted to hr@giu-uni.de. Please include the job title in the email subject line.

Applications will be reviewed until position is filled. For best consideration, submit applications by 30^th of June, 2019.