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The Full-time Lecturer at the Faculty of Computer Science and Informatics is responsible for teaching academic modules in Data Analytics, Machine Learning, and related AI domains, while designing and updating curricula, creating and grading assignments and exams, and participating in school activities as directed by the Dean of the Faculty and Chief Academic Officer. The role involves mentoring students, providing individualised tutoring to enhance academic performance, monitoring progress, and developing creative teaching materials to support learning in AI and data analytics.
Job Responsibility:
Teaching academic modules in Data Analytics, Machine Learning, and related AI domains
Designing and updating curricula
Creating and grading assignments and exams
Participating in school activities as directed by the Dean of the Faculty and Chief Academic Officer
Mentoring students
Providing individualised tutoring to enhance academic performance
Monitoring progress
Developing creative teaching materials to support learning in AI and data analytics
Administering, proctoring and marking all students’ assignments and exams papers of all assigned classes
Updating a Syllabus or Syllabi if required
Creating assignment briefs and exams papers
Providing feedback to students using positive reinforcement techniques
Providing private instruction to individual or small groups of students to improve academic performance and to prepare for exams
Assessing students’ progress throughout tutoring sessions
Scheduling tutoring appointments with students
Organising the tutoring environment to promote productivity and learning
Participating in training and development sessions to improve tutoring practices or learn new tutoring techniques
Maintaining records of students’ assessment results, progress, feedback, or school performance, ensuring confidentiality of all records
Preparing lesson plans or learning modules for tutoring sessions according to the Programmes needs and goals
Creatively design teaching materials for maximising student’s experience
Developing content, both written and recorded, as directed by the Dean of the Faculty and Chief Academic Officer
Researching or recommending textbooks, software, equipment, or other learning materials to complement tutoring
Communicating students’ progress to students in written progress reports, in person, by phone, by e-mail and/or teleconferencing
Identifying, developing, or implementing intervention strategies, tutoring plans, or individualised education plans (IEPs) for students
Performing day-to-day tasks such as maintaining information files and processing paperwork related to teaching activities
Teaching the assigned academic modules according to the curriculum
Amending or designing and developing a new curriculum for a Module if required
Providing consultation and mentoring to students
Teaching students study skills relevant to programmes and exam-taking strategies
Communicate effectively with students and convey passion for learning
Playing a proactive role in promoting the school
Providing all students with tutor support to develop their assignments
Monitoring student performance or assisting students in academic environments, such as classrooms, laboratories, or computing centers
Supervising a number of Dissertations per academic year (if required)
Participating in all School’s activities as required by the Dean of the Faculty and Chief Academic Officer
Requirements:
PhD with strong theoretical and practical knowledge in at least one of the following areas: (i) Data Analytics and Visualisation, (ii) Big Data Analytics, (iii) Machine Learning, (iv) Deep Learning, (v) Computer Vision, (vi) Chatbot Systems, (vii) Robotics and Automation Systems
Prior teaching experience in higher education at the University level
Strong working knowledge of Python Programming
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.)
Sound knowledge of study regulations and rules
Very good organisational 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
Nice to have:
Knowledge of German
What we offer:
An international environment with a multicultural audience and a meaningful social impact
Support in achieving your professional goals and development
Opportunities for career growth alongside BSBI, including leadership roles
Extensive training to equip you with the knowledge and skills needed to excel
Work in a young, dynamic and positive culture that fosters collaboration
Performance-based commissions to incentivise sales success
Be at the forefront of an exciting educational opportunity, leading the way forward and growing with BSBI
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