Research Assistant

Job Description

As a Research Assistant, you will support advanced experimental research projects in psycholinguistics and cognitive sciences, focusing on eye tracking studies. Your core duties include:

• Designing, programming, and executing eye tracking experiments using Eye Experiment Builder.
• Managing and analyzing eye movement data with Eye Link Data Viewer.
• Conducting data processing, cleaning, and statistical analysis using advanced techniques, including mixed‑effects modeling (lmer, brms) in R.
• Assisting with participant recruitment, experimental setup, and day‑to‑day lab operations.
• Preparing research documentation and reports, and assisting with academic dissemination (conference presentations, papers).
• Translating/transcribing research materials between Arabic and English, if applicable.

• Bachelor’s degree in Cognitive Science, Psychology, Linguistics, Computer Science, or a related field.
• Substantial prior experience in behavioral and eye tracking research, with hands‑on expertise using Eye Experiment Builder and Eye Link Data Viewer.

• Master’s degree in a relevant field.
• Extensive experience in statistical analysis (especially linear/mixed effects and Bayesian modeling using lmer and brms in R).
• Demonstrated record of research collaboration and data‑driven experimental work.
• Proficiency in academic writing and research documentation.
• Knowledge of Python programming, computational modeling, database development, and website creation will be considered an advantage.

• Expertise in designing and running eye tracking experiments with Eye Experiment Builder and Eye Link Data Viewer.
• Advanced proficiency in statistical software, particularly mixed‑effects modeling (‘lmer’ and ‘brms’ packages in R).
• Proficiency in Python programming and computational modeling techniques relevant to cognitive and psycholinguistic research.
• Experience in database creation, management, and publication, as well as website hosting and development to support research dissemination and collaboration.
• Experience with statistical methods (lmer, brms).
• Previous collaborative research and software/data skills.
• Language competencies, including level of Arabic proficiency if applicable.

Applicants should submit a CV and a cover letter.

Close Date:
Kindly apply before the closing date – 28/02/2026.

Apply at the department’s recruitment portal.

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