SCIENTIST PRODUCTION GRADE A: STOCK ASSESSMENT
Salary
R761 157 per annum, (OSD)
Closing Date
30 Jan 2026
in about 5 hours
Reference
FIM12/2025
Requirements
BSC (Hons) in Science /Natural or relevant qualification (NQF Level 8), 3 years post : qualification experience in natural science or relevant field and Compulsory registration with SACNASP as a Professional Natural Scientist. Knowledge: Practical knowledge of Modeling and stock assessment techniques; Application of relevant software, including statistical and modeling software (e.g., R, ADMB). Programming skills relevant to building, improving, and running fisheries stock assessment models and related Statistical and Mathematical. Skills: Data analysis and statistics; Computer-aided scientific applications. Strong quantitative focus; programme and project management. Ability to gather and analyse information. Ability to work individually and in a team. Ability and willingness to work at sea.
Key Responsibilities
Perform scientific analysis and regulatory functions: Conduct analysis of scientific data (statistical analysis and modelling) fisheries stock assessment on a broad range of fisheries resources; Apply Operational Management Procedures to generate information and scientific advice for sustainable fisheries management. Develop and implement methodologies, policies, systems and procedures: Identify gaps and develop appropriate interventions; Develop working relations with fisheries industry, small scale fisheries, all fisheries right holders. Research and development: Conduct basic and applied research on fisheries stock assessment and management procedures; Perform research/literature studies to improve expertise; Publish and present research findings. Provide scientific support and advice: Provide scientific data, information and advice when required; Develop scientific advice and documentation for sustainable fisheries management. Human capital development: Train, mentor and develop junior personnel on data-analysis related queries; Supervise scientific work and processes. Supervise scientific data archiving and retrieval as appropriate.
How to Apply
Enquiries
Ms Z Jika at 082 332 7943
Published in PSV Circular 1/2026 on January 16th, 2026
