SENIOR LECTURER IN STATISTICS / DATA SCIENCE at University of the Western Cape

Role Clarification & Key Performance Areas

The University of the Western Cape (UWC) enjoys national and international acclaim for its continuing contribution to democratic change in South Africa and for making quality education accessible to all South Africans and for developing centers of excellence of national importance. The successful candidate will join a dynamic and supportive faculty dedicated to teaching and research, as well as to overall student development. The ideal candidate will be highly motivated and willing to make a significant contribution to the development of the Faculty.

The Statistics and Population Studies Department is hosted in the Faculty of Natural Sciences. In 2018, the department started an industry-directed MSc in Statistical Sciences with a specialization in Data Science. Consider joining our new initiative and help train the Data Scientists of the future.

The successful candidate for Senior Lecturer in Statistics/Data Science in the Department of Statistics and Population Studies will be responsible for the following key performance areas:

• Facilitate learning at undergraduate and postgraduate levels in Statistics/Data Science.

• Conduct research and publish in Statistics/Data Science.

• Undertake undergraduate and postgraduate supervision.

• Provide academic leadership.

• Undertake curriculum development and assessment.

• Undertake community/industry engagement and outreach.

Minimum Requirements

• PhD Statistics or Data Science or Mathematical Statistics.

• Demonstrated teaching experience at undergraduate and postgraduate levels, in the field of Statistics or Data Science.

• A record of quality peer-reviewed publications, in the field of Statistics, Applied Statistics or Data Science or proof of peer-reviewed technical reports submitted in industry.

• A record of successful postgraduate supervision with specific reference to industry research projects or the supervision of advanced analytical projects in the industry.

• Proven expertise in applying complex statistical and data science techniques including advanced knowledge of statistical packages such as SAS and R (or Python) is essential.

Competencies

• Excellent verbal and written communication skills in English

• Presentation and facilitation skills.

• Adaptability and the ability to operate in a diverse environment.

• Student-focused approach.

• Coaching and mentoring skills.

• Planning and organizing skills.

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