Your Responsibilities 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. Professional competencies 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 Virtual Reality Augmented Reality Applied Digital Transformation 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 German is desirable Knowledge of Educational Platforms (i.e. Canvas, Blackboard etc.) Working knowledge of timetabling software Sound knowledge of study regulations and rules Personal competencies 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 #J-18808-Ljbffr
Freelance Lecturers in Data Science and Artificial Intelligence – BSBI Hamburg Arbeitgeber: GUS Germany GmbH
Die University of Europe for Applied Sciences (UE) ist ein hervorragender Arbeitgeber, der eine unterstützende und inklusive Arbeitsumgebung bietet, in der Vielfalt geschätzt wird. Mit einem internationalen Team und einer dynamischen Kultur fördert die UE das persönliche Wachstum und die berufliche Entwicklung ihrer Mitarbeiter. Der Standort Hamburg, als Teil eines globalen Netzwerks, ermöglicht es Ihnen, in einem kreativen Umfeld zu arbeiten und einen bedeutenden Beitrag zur Bildung von Studierenden aus über 100 Nationen zu leisten.
