The Passenger Rail Agency of South Africa (PRASA) invites suitably qualified graduates to apply for the Graduate In Training Programme at its Head Office, Umjantshi House, under the Group Capital Division. This opportunity is open to external candidates who have completed relevant engineering, computer science or technology qualifications and are seeking practical workplace experience.
The programme is designed to provide structured workplace learning opportunities to graduates who require hands-on experience aligned with their academic qualifications. It aims to bridge the gap between theoretical knowledge gained through academic studies and the practical application of technical skills in a professional working environment.
Successful candidates will have the opportunity to develop technical competencies, gain exposure to engineering and digital technologies, and improve their workplace readiness. The programme also supports the development of skills in emerging fields such as artificial intelligence, robotics, cybersecurity, machine learning, embedded systems and intelligent transportation solutions.
Graduates who meet the requirements are encouraged to submit their applications before the closing date.
Job Details
- Position: Graduate In Training
- Division: Group Capital
- Location: Umjantshi House, PRASA Head Office
- Salary: Market-related
- Work Experience: No experience required
- Application Method: Email
- Closing Date: 20 October 2026
- Target Group: External candidates with relevant qualifications
Available Graduate In Training Opportunities
PRASA is recruiting graduates for the following specialised training opportunities:
1. Graduate In Training – Computer Engineering and Artificial Intelligence
- Number of Posts: 1
- Reference Number: R&S//GC/GIT_CEAI/01
- Required Qualification: BEng or BTech in Computer Science, Computer Engineering, Artificial Intelligence and Cybersecurity.
This opportunity is intended for graduates with a background in computer science, computer engineering, artificial intelligence or related technical disciplines. The training will focus on the application of intelligent technologies, automation and advanced computing solutions in engineering environments.
Key Performance Areas:
- Designing intelligent robotic systems.
- Developing artificial intelligence-powered automation solutions.
- Implementing predictive maintenance systems for railway, manufacturing and infrastructure assets.
- Integrating sensors, Internet of Things (IoT) technologies and machine learning into engineering environments.
- Developing digital twin models and smart infrastructure solutions.
Graduates interested in intelligent systems, computer engineering, automation and emerging digital technologies may find this opportunity suitable for their career development.
2. Graduate In Training – Mechatronics Engineering and Artificial Intelligence
- Number of Posts: 1
- Reference Number: R&S//GC/GIT_MAAI/02
- Required Qualification: BEng, BTech or equivalent relevant qualification in Mechatronics Engineering and Artificial Intelligence, as specified in the vacancy requirements.
This training opportunity focuses on combining mechanical and electronic engineering principles with computing, automation and artificial intelligence. Graduates will gain exposure to technical disciplines that support the development of intelligent machines and modern engineering systems.
Key Performance Areas and Related Technical Fields:
Computer Engineering
- Digital electronics.
- Computer architecture.
- Embedded systems.
- Microprocessors.
- Network engineering.
- Operating systems.
Artificial Intelligence
- Machine learning.
- Deep learning.
- Neural networks.
- Computer vision.
- Natural language processing.
- Reinforcement learning.
- Artificial intelligence ethics and governance.
Information Technology
- Software development.
- Database management.
- Cloud computing.
- Cybersecurity.
- Web and mobile development.
- Data analytics.
- Enterprise systems.
These technical areas provide a foundation for developing innovative engineering solutions, intelligent systems and automated processes. Candidates should ensure that their qualifications meet the requirements specified for this training opportunity.
3. Graduate In Training – Electrical Engineering (Electronic/Light Current)
- Number of Posts: 1
- Reference Number: R&S//GC/GIT_EE/03
- Required Qualification: BEng, BTech or equivalent relevant qualification in Electrical Engineering, specialising in Electronic or Light Current Engineering.
This opportunity is aimed at electrical engineering graduates with an interest in electronic systems, data-driven technologies and intelligent transportation applications. The programme offers an opportunity to strengthen technical knowledge and develop practical workplace skills relevant to modern engineering environments.
Key Performance Areas:
- Artificial intelligence.
- Data science.
- Machine learning.
- Robotics.
- Intelligent transportation systems.
Graduates with an interest in electronic engineering and the application of digital technologies to transportation and infrastructure systems are encouraged to consider this opportunity.
Experience Requirements
No previous work experience is required for these Graduate In Training positions.
The programme is intended to provide graduates with practical experience that complements their academic qualifications. Applicants should, however, ensure that they possess the relevant qualification for the specific position they wish to pursue.
Training and Knowledge Development
Successful candidates will have the opportunity to develop technical knowledge and practical workplace competencies through structured learning exposure.
The training and knowledge areas include:
- Technical knowledge development.
- Hands-on skills development.
- Health and safety regulations.
- Knowledge of equipment and tools.
- Workplace procedures and standards.
- Microsoft Office applications.
The vacancy also refers to municipal knowledge under its training and knowledge requirements. Applicants should review the original vacancy notice for any additional clarification regarding this requirement.
The programme is intended to help graduates understand professional workplace expectations while strengthening their technical capabilities and ability to apply their qualifications in real-world settings.
Skills and Competencies
Applicants should demonstrate an interest in learning, professional development and the practical application of their technical knowledge.
The required skills and behavioural attributes include:
Technical and Professional Skills
- Technical skills relevant to the selected discipline.
- Problem-solving abilities.
- Attention to detail.
- Effective communication skills.
- Time management.
- Teamwork and collaboration.
Behavioural Attributes
- Professionalism.
- Willingness to learn.
- Accountability.
- Adaptability.
- Attention to safety.
Candidates should be prepared to work collaboratively, follow workplace procedures and safety standards, and demonstrate a commitment to continuous learning throughout the training programme.
Employment Equity
In accordance with PRASA’s Employment Equity Plan, the position is earmarked for people with disabilities.
The vacancy notice also indicates employment equity categories for African, Indian, Coloured and White male and female candidates. Applicants should consult the original advertisement for the complete employment equity provisions applicable to these positions.
How to Apply for the PRASA Graduate In Training Programme
Interested and suitably qualified candidates must submit their applications by email.
Required Application Documents:
- An updated curriculum vitae (CV).
- Certified copies of relevant qualifications.
Applicants should ensure that their CVs contain accurate contact details, educational qualifications and any relevant technical projects, academic achievements or practical training. Although previous experience is not required, relevant academic projects and technical skills may help demonstrate suitability for the selected field.
Candidates should clearly indicate the Graduate In Training position they are applying for and include the correct reference number in their application correspondence.
- Application Email Address: [email protected]
- Email Subject Suggestion: Application for Graduate In Training – [Position Title] – [Reference Number]
Applications must be submitted before the closing date of 20 October 2026. Candidates are encouraged to prepare their documents in advance and verify that all required attachments are included before sending the email.
Closing Date: 20 October 2026
Late applications may not be considered. Applicants should submit their updated CVs and certified qualifications before the deadline.
Important Notice to Applicants
PRASA states that applicants who do not receive a response within three months after the closing date should consider their applications unsuccessful.
Before applying, candidates should carefully check the qualification requirements and reference number for their preferred training opportunity. Each applicant should ensure that the submitted documents are complete, accurate and relevant to the position.
This Graduate In Training Programme presents an opportunity for suitably qualified graduates to gain practical exposure in computer engineering, artificial intelligence, mechatronics engineering and electrical engineering. Candidates who meet the stated requirements are encouraged to apply and take a step towards building a career in engineering, technology and infrastructure development.
Apply by email: [email protected]
Closing date: 20 October 2026.