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SCIENTIST PRODUCTION GRADE A: STOCK ASSESSMENT

Forestry, Fisheries and the Environment
Western Cape
Cape Town
Permanent
R

Salary

R761 157 per annum, (OSD)

Closing Date

30 Jan 2026

in about 5 hours

Reference

FIM12/2025

Post Ref1/26

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.

Enquiries

Ms Z Jika at 082 332 7943

Published in PSV Circular 1/2026 on January 16th, 2026

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