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.
How to apply
To be considered for this vacancy, you must click on the Apply for this Job link below
https://uwc.hua.hrsmart.com/hr/ats/Posting/view/1274
For any queries, please contact the Human Resources Department at +27 21 959 4063/9763/9708/3551/3756 or email: [email protected]
In your application, you are encouraged to highlight your strengths and also include anything else that you feel may be pertinent to the selection panel. Please attach your covering letter, a detailed curriculum vitae and highest qualification to your online profile.