Lecturer for the Faculty of Computer Science and Informatics

• Conduct teaching and examination duties in accordance with the applicable examination and study regulations for students
• Creatively design and develop instructional materials that enhance the learning experience and engagement of students
• Revise, design, and develop new curricula for assigned modules as required, ensuring alignment with academic standards and learning outcomes
• Develop and set examinations or other assessment instruments to ensure that written/rewritten examinations are provided alongside regular examinations at least two weeks prior to the conclusion of the semester or as specified
• Grade written examinations and other assessment results within the deadlines stipulated by the Administration Office and submit the evaluated materials to the office promptly
• Organize and facilitate the inspection of written examinations or other assessed performances
• Actively participate in teaching evaluations by completing and submitting evaluation sheets prepared for each course
• Supervise student dissertations, providing guidance and feedback, and assess and grade dissertations in accordance with academic standards

• PhD or PhD Candidate (in specific cases) with strong theoretical and practical knowledge in at least two of the following areas: Data Analytics and Visualisation
• Big Data Analytics
• Machine Learning / Deep Learning
• Computer Vision and Image Processing
• Natural Language Processing
• Conversational UI Design and Chatbot Development
• Robotics Software and Programming
• Robotics Operating Systems
• Robotics and Automation Systems
• Robotics Project Management
• Prior teaching experience in higher education at University level
• Very good knowledge of Windows OS, of MS Office suite (Excel, Word, Outlook, PowerPoint) and Microsoft Teams
• Scientific publications in a related discipline
• Fluent in spoken and written English (C2 level)
• Knowledge of Educational Platforms (i.e. Canvas, Blackboard etc.)
• Working knowledge of timetabling software
• Sound knowledge of study regulations and rules
• Very good organizational and communication skills
• High social competence and assertiveness
• Maintaining an overview even with high workloads
• Entrepreneurial and economic way of thinking and working
• Resilient and flexible
• Motivated for further academic and professional development

Knowledge of German (for Germany) is desirable