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Jessica Zamborain Mason

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Research Specialist in Data Science and Marine Socio-ecological Systems King Abdullah University of Science and Technology (KAUST) in Saudi Arabia

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Saudi Arabia

University

King Abdullah University of Science and Technology (KAUST)

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Keywords

Computer Science
Data Science
Ecology
Environmental Science
Biology
Spatial Analysis
Marine Biology
Database Management
Scientific Writing
R Programming
Environmental Economics
Big Data
Reproducible Research
Economics
Statistics

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About this position

King Abdullah University of Science and Technology (KAUST) is recruiting a Research Specialist in Data Science and Marine Socio-ecological Systems to support research in the Integrated Reef Fisheries Lab within the Biological and Environmental Science and Engineering Division. The role is based in Thuwal, Saudi Arabia, on KAUST’s Red Sea campus.

The position sits at the intersection of data science, statistics, marine ecology, and environmental economics. The lab focuses on the sustainability of coral reef fisheries and aquatic food systems, integrating ecological, social, and economic data to build practical tools and strategies for resilient fisheries and communities. The successful candidate will work closely with Professor Jessica Zamborain Mason and her team.

Key responsibilities include developing and maintaining data pipelines, cleaning and harmonizing large datasets, conducting statistical and geospatial analyses, creating data visualizations, and supporting mechanistic modeling where needed. The role also includes literature reviews, manuscript and report preparation, support for grant proposals, development of reproducible analysis scripts, and technical coordination using GitHub/GitLab and collaborative workflows. Lab coordination duties include helping with meetings, schedules, data sharing, compliance, ethics documentation, and onboarding new lab members.

Applicants should hold a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Environmental Science, or a related quantitative field. Strong R skills, familiarity with Git/GitHub, excellent communication and writing ability, experience with large complex datasets, and evidence of publication experience are expected. The post is described in the FindAPhD listing under postdoc positions, but the content itself presents a research specialist role rather than a PhD studentship.

KAUST highlights its international research environment, strong infrastructure, and expatriate support package, including tax-free salary, relocation, accommodation, and additional incentives. The application is open with an unspecified deadline, and candidates should apply via Interfolio with a CV, cover letter, and two references.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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