Job Details
Key Responsibilities:
• Conduct quantitative analyses of commercial fisheries data using advanced statistical
methods.
• Develop, document, and maintain R scripts and functions for data analysis and
modelling.
• Apply and interpret statistical frameworks (e.g., maximum likelihood estimation,
Bayesian methods, GLMs, GAMs) in real-world fisheries contexts.
• Produce scientifically rigorous outputs including reports, technical documents, and
visualisations.
• Communicate scientific findings to clients, stakeholders, and team members through
written reports, presentations, and meetings.
• Contribute to the formulation of new methods for addressing complex fisheries
challenges.
• Work independently on analysis tasks while collaborating closely with a broader
scientific and technical team.
Requirements
Minimum Requirements:
• A postgraduate degree (MSc or higher preferred) in Fisheries Science, Marine
Biology, Statistics, Ecology, or a related field.
• An understanding of fisheries science and related fields.
• Demonstrated experience in statistical modelling and fisheries analysis.
• High proficiency in R, including writing custom functions and managing large
datasets.
• Familiarity with Bayesian inference, maximum likelihood estimation, and model
selection techniques.
• Excellent written and verbal communication skills, including the ability to explain
complex results to non-technical audiences.
• Proven ability to work independently, manage time effectively, and deliver highquality work on schedule.
• Based in South Africa, with the ability to attend occasional in-person meetings.
Contact Information
Fisheries Consultancy, OLSPS Marinehttps://sancor.nrf.ac.za/Documents/OLSPS%20Marine%20-%20Fisheries%20Position.pdf
To apply: Please send your CV and a short cover letter to matt@olsps.com.
Application Deadline: Applications will be reviewed on a rolling basis until the position is filled.
Post Date: 6/13/2025 3:07:28 PM
Closing Date: 6/27/2025 12:00:00 AM