Senior Lecturer - Applied Statistic / Data Science

• Company Taylor's University
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

RESPONSIBILITIES

Teaching & Learning

• Undertake teaching and teaching related duties such as design, preparation and development of teaching materials; conduct classes/lectures, tutorials and practicals; consultation with students, invigilation, marking and assessment
• Participate and contribute in high quality programme and curriculum development
• Plan and implement teaching strategies to optimize student learning as well as to motivate them
• Support in research project work and scholarship of postgraduate students
• Establish and maintain high standards of teaching and effective learning to meet the University's teaching and learning expectations

Research

• Participate in scholarly activities, including undertaking research, conference presentation, journal publications and relevant community work
• Support efforts to secure grants for research activities and scholarship as co-researcher
• Achieve the specified set of research outcome targets for Senior Lecturer level of appointment

Administration and Other Activities

• Undertake and contribute in administrative/leadership responsibilities such as managing/coordinating a programme, attending departmental meetings, participate in committees and working groups within the school and faculty
• Participate in continuous relevant professional activities
• Assist in establishing linkages with external organizations/ professional bodies in academic related matters

REQUIREMENTS

• Possess a doctoral degree or equivalent from a recognized university specialising in Applied Statistics / Data Science
• Experience working in higher education environment and a track record of teaching experience and professional knowledge of curriculum development or good record of professional experience with evidence of coaching and mentoring and a high quality of presentation skills
• Experience in developing teaching methodologies and materials, including the effective use of IT technologies in the facilitation of teaching and learning
• Experience working on research projects and activities or experience of professional practice/consultancy work, including evidence of appropriate outputs
• Expertise in successful supervision and graduating postgraduate students on time
• Demonstrated links to relevant external organizations and/or the profession