Fresh Recruitment at University of Pretoria/Universiteit van Pretoria

RESPONSIBILITIES:

The successful candidate will actively participate in the following areas: 

• An advanced training programme in Clinical Pathology with the view of obtaining the MMedVet (Clinical Laboratory Diagnostics) degree with speciality in Clinical Pathology; 
• Didactic teaching and practical training of undergraduate veterinary and veterinary nursing students;
• Participate in Departmental research and publications;
• Participate in providing a clinical service in the Onderstepoort Veterinary Academic Hospital and surrounding community, including a 24-hour service; and 
• Perform community engagement activities.

MINIMUM REQUIREMENTS:

• BVSc-degree or BVMCh or equivalent professional veterinary qualification;
• Registration with the SAVC or eligibility for registration within one year of appointment; and
• Two years’ veterinary clinical experience completed upon commencement of appointment or one-year rotating clinical internship in small- or large animal medicine and surgery. The CCS year may be considered as a year of clinical experience provided that evidence, such as a case log, can be provided to this effect.

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RESPONSIBILITIES:

The incumbent will be responsible for:

• Lecturing at undergraduate and/or postgraduate level;
• Academic administration and management;
• Supervising postgraduate students; and
• Scientific research and publications in accredited academic journals.

MINIMUM REQUIREMENTS:

• A Master’s degree in Public Administration and enrolled/applied for a relevant doctorate in Public Administration;
• Demonstrated lecturing potential; and

Evidence of Research which includes: 

• One publication in an accredited journal, or a chapter in a peer   reviewed book; or
• Evidence of a research component in the Master’s degree; or
• A published conference paper; or 
• An equivalent recognised research output; or
• Significant progress towards the completion of the doctoral degree.

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RESPONSIBILITIES:

The incumbent will be responsible for:

• Perform research on the development of indices and their validity;
• Contribute to publications in peer-reviewed journals, policy briefs and technical reports;
• Prepare and deliver presentations or posters for workshops, consultative meetings, and local and international conferences;
• Survey the data available at the country level;
• Identify relevant data that supports the narrative of the volunteering index;
• Conduct a gap analysis of the data through data mapping and compilation of pertinent data information; 
• Collate and manage secondary data on volunteerism from local and national governments as well as non-governmental organisations and service providers, including the private sectors;
• Manage the acquisition, organisation, and management of data;
• Coordinate data exchange and collaborative research activities with UNV, the project; team, academic collaborators, and any relevant Understanding or Non-Disclosure Agreements;
• Supervise and co-supervise postgraduate students in Statistics and related fields;
• Train and mentor focal points from United Nations (UN) member states in data collection and analysis;
• Assist with academic activities, including project meetings, peer reviews, and workshops; 
• Liaise between members of the UNV Project and collaborators including local and international academics, and stakeholders;
• Support the organisation of national and international consultative workshops; 
• Provide updates and communicate developments with the Project and Stakeholders;
• Inform public decision-making through reports policy briefs and presentations.

MINIMUM REQUIREMENTS:

• A Master's degree in statistics, econometrics or a relevant quantitative field;

At least five (5) years of experience in: 

• High‐quality research in designing and analysing sample surveys;
• Working in multidisciplinary teams;
• Working with donor‐funded programmes;
• Proven experience and proficiency in statistical data analysis software, such as STATA or related packages;
• A verified publication record;
• Strong quantitative data analysis skills;
• Proficiency in statistical analysis software, specifically STATA or similar packages.