Job Description
Roles & Responsibilities
The German University in Cairo invites applications for vacancies to be filled effective September 2026.
Faculty of Engineering and Materials Science (EMS) is seeking a highly qualified and motivated candidate to join the Department of Design and Production Engineering program. We invite applications for a full-time academic position in the field of AI and Prescriptive Decision Systems for Smart Manufacturing at the rank of Lecturer or Associate Professor, depending on qualifications and experience.
Position Summary:
This position is intended for candidates who have a strong, focused research identity in next-generation industrial AI, with proven contributions to causal modeling, decision optimization, and real-time intelligent control in production systems.
The successful candidate will lead research and teaching in the following fields:
- Causality-driven AI
- Prescriptive maintenance and decision intelligence
- Supervisory and autonomous control systems
- AI enabled Cyber Physical Production Systems (CPPS)
- Digitalization and Industry 4.0
- Digital twins and model-based engineering
- Control systems & Automation
Duties and Responsibilities:
- Teach courses in Industry 4.0, AI in production
- Supervise student projects and theses.
- Conduct high-quality research and publish in reputable international journals.
- Engage in curriculum development and continuous improvement of teaching materials.
- Contribute to departmental and university service activities.
- Foster partnerships with industry and participate in interdisciplinary research initiatives.
Desired Candidate Profile
A Ph.D. in Mechatronics Engineering, Automation Engineering, Industrial Artificial Intelligence or a closely related field with specialization in AI, smart manufacturing, or intelligent production systems.
Technical Expertise: Mastery of Artificial Intelligence in production, Causality analysis, Machine Learning for perspective maintenance and control systems, and Cloud-based Manufacturing Execution Systems (MES).
Experience in Programming: Python, MATLAB/Simulink, C/C++, ROS, PLCs, SCADA systems, Cloud platforms / edge computing, Industry collaboration or applied research experience, virtual commissioning tools (e.g., Siemens, Dassault, etc.)
Demonstrated research track record with publications in reputable journals.
Experience in funded or collaborative research projects is an asset.
Strong communication, interdisciplinary collaboration, and teamwork skills.
Commitment to innovation in teaching and research.
