Senior Lecturer.2.01 - Quantitative Research Methodologies and Statistics Specialist (AC07) at University of the Witwatersrand

Brief Description        
Applicants are expected to have:

• a PhD,
• exceptional quantitative methodologies and statistics knowledge and skills,
• a working knowledge of qualitative and mixed methods research methodologies,
• demonstrated experience of teaching research methodologies and statistics to postgraduate students with varying levels of aptitude (experience in CLM disciplines would be an advantage),
• experience of supervising master’s students and/or PhD candidates to completion,
• demonstrated experience of online and blended teaching (experience of working with Canvas would be an advantage),
• an interest in teaching and/or research, which may be evidenced by research and publication in higher education (broadly), and/or research methods and/or the scholarship of teaching and learning (SoTL).

 Key Responsibilities

• conceptualize, implement, and manage a range of faculty-wide initiatives/programmes on quantitative research methodologies and statistics that are responsive to the needs of postgraduate students, research coordinators, supervisors, and relevant members of senior management.
• Support CLM postgraduates to learn how to conceptualise, design, and conduct research.
• Support CLM postgraduates to learn how to analyse, interpret, and consolidate quantitative data using relevant statistics software.
• Consult with CLM postgraduate students and their supervisors about research and statistical analysis.
• Stay at the leading edge of contemporary thinking in higher education broadly and research methodologies specifically.
• Engagement and Interaction
• Participate in training, workshops, and symposia.
• Participate in relevant committees, working groups, and task teams.
• Build networks with relevant stakeholders, including supervisors, research degree coordinators, and relevant members of senior management.
• Interact with School and Faculty Graduate Studies Committees.
• Work with other members of the CLM TLU around strategy and crosspollination of initiatives.

Key Competencies

• Evidenced proficiency in a range of quantitative research methodologies.
• A working knowledge of qualitative and mixed methods research methodologies.
• Proficiency in using and teaching SPSS and STATA (knowledge of or proficiency in other relevant statistics packages, including the use of SAS, R, and/or Python, would be an advantage).
• Proficiency in the use of data collection tools (e.g., Qualtrics) and data management tools.
• Highly developed interpersonal skills appropriate to working effectively in a range of contexts and settings with students and staff from diverse backgrounds.
• Excellent English oral presentation, facilitation, and communication skills.
• Experience of working with online and digital technologies.
• Excellent organisational and project-management skills.
• Reliability and conscientiousness, with the ability to follow through with responsibilities.
• The ability to be self-directed: anticipating needs and taking initiative.
• The flexibility to adapt, and to optimise resources in an emerging/changing environment.
• The ability to work independently or in a team, and to manage multiple concurrent responsibilities.
• A high level of proficiency in MS Office and related applications, and in using learning management systems.