TUT Part-Time Lecturer Of Science

TUT Part-Time Lecturer Of Science. The Tshwane University of Technology (TUT) is inviting applications for the position of Part-Time Lecturer in the Department of Mathematics and Statistics within the Faculty of Science, specifically at the eMalahleni campus. This is an excellent opportunity for qualified professionals to contribute to the academic development of students in vital subjects such as Probability & Statistics (PAS206B) and Quantitative Techniques (QTS105D). Below, we will explore the details of this position, including qualifications, responsibilities, and application procedures.
Job Details
- Title: Part-Time Lecturer
- Reference Number: 24/480a2
- Faculty/Directorate: Science
- Department/Division: Mathematics and Statistics
- Campus: eMalahleni
- Closing Date for Applications: November 5, 2024
TUT Part-Time Lecturer Of Science PDF
PartTime-LECTURERS-MATHSResponsibilities
As a Part-Time Lecturer in the Mathematics and Statistics department, candidates will be responsible for the following:
- Preparing and Conducting Lectures: You will be expected to deliver engaging and informative lectures that promote student understanding and interest in the subject matter.
- Advanced Presentation Skills: The ability to present complex concepts in an accessible manner is crucial for success in this role.
- Proven Use of Teaching Technology: Familiarity with various teaching technologies is essential to enhance the learning experience.
- Setting and Marking Assessments: You will be responsible for designing assessments that accurately reflect student understanding and for providing timely feedback.
- Participation in Meetings: Active participation in departmental and subject meetings is required to ensure alignment with departmental goals and curriculum updates.
- General Administration: Duties will include capturing test and assignment marks and uploading necessary documents on the myTUTor platform.
- Student Consultation: Availability for student consultations to assist with academic inquiries and provide additional support.
Minimum Requirements
To be considered for the position, candidates must meet the following minimum requirements:
- Educational Qualifications: A Master’s or Doctorate Degree in the field of Statistics is essential.
- Study Record: Candidates must have a strong academic record with relevant major subjects.
- Experience: A minimum of three years’ teaching and/or research experience at a tertiary institution is required, along with industry-related experience being advantageous.
- Technical Proficiency: Proficiency in MS Office and other computer programs is a must.
- Language Proficiency: Full proficiency in English is a prerequisite for this role.
- Professional Membership: Membership in a professional body will be regarded as an added advantage.
- Teaching License: Completion of a TUT License to Teach programme is compulsory.
Application Process
Interested candidates are required to submit the following documents:
- A detailed Curriculum Vitae (CV)
- Copies of qualifications
- A valid ID
Applications can be sent via email to [email protected]. For any inquiries regarding the position, Ms. M. Nyakale can be contacted at Tel: 012 382 0610/4645.
Important Notes
- Contact Hours: The position entails 4.5 contact hours per academic week, requiring one part-time lecturer for two groups.
- Subjects Offered: The specific subjects for this position include Probability & Statistics (PAS206B) and Quantitative Techniques (QTS105D).
- Application Deadline: All applications must be submitted by November 5, 2024.
- Feedback on Applications: Candidates will be informed within a month of the closing date if their application has been successful. Correspondence will only be entered into with shortlisted candidates. The University reserves the right not to make an appointment.
Conclusion
The role of Part-Time Lecturer at Tshwane University of Technology offers a unique opportunity to shape the minds of future mathematicians and statisticians. With a focus on Probability & Statistics and Quantitative Techniques, successful candidates will contribute significantly to the academic landscape at the eMalahleni campus. If you meet the qualifications and are passionate about education, consider applying for this rewarding position before the closing date of November 5, 2024.