Research Assistant

United Arab Emirates University, Department of Family Medicine; Abu Dhabi; On-site; AED 60,000 - 120,000; Full time

Job summary

A prestigious university in Abu Dhabi is seeking a Research Assistant for a project on AI adoption in the media industry. The role involves conducting literature reviews, collecting data, designing Machine Learning models, and collaborating with research teams. Candidates should hold a Master's or BA MSc in Media or Computer Science and have strong statistical analysis skills. The position offers a salary range of 6,000–7,000 AED/month based on experience, with the application deadline on 31/01/2026.

Qualifications

• Master's degree or BA MSc in Media or Computer Science or related fields.
• Dynamic and highly motivated to work independently and collaboratively.
• Advanced English skills for research paper writing.

Responsibilities

• Conduct literature reviews.
• Collect and analyze data.
• Design and develop Machine Learning systems.
• Document and publish research findings.
• Perform statistical analysis to improve models.

Skills

Machine Learning systems design

Statistical analysis

Data analysis using SPSS

Interview arranging

Research publication

Education

Master/BA MSc in Media or Computer Science

Tools

SPSS

Excel

GIS

Job description

Job Description

We are looking for applicants to fill in a two‑year Research Assistant position in a United Arab Emirates University funded project “The Adoption of AI and Digital Technology Innovations in Emirates Media Industry and Its Impacts on Newsrooms and Journalists’ Performance: Developing an Index of Media Innovation.” Selected candidate will collaborate with the members of research groups on research in a wide range of topics in the foundations and applications of AI adoption in Newsrooms in the UAE.

General Responsibilities

• Conduct literature reviews
• Collect and analyze data
• Prepare interview questions
• Maintain accurate records of interviews, safeguarding the confidentiality of subjects, as necessary
• Summarize interviews.
• Manage and respond to project related email
• Prepare, maintain, and update website materials
• Maintaining records on assignment completion, acting as liaison/mediator between the undergraduate students and PI
• Arrange and/or attend project meetings
• Attend area seminars and other meetings as necessary
• Summarize project results
• Prepare progress reports for the PI
• Prepare other articles, reports, spreadsheets, posters and presentations
• Assisting with statistical data analysis and generating correspondence, reports and graphics
• Other duties and responsibilities may be assigned by PI
• Time management skills to meet the project deadlines.

Specific Responsibilities

• Designing, developing, and researching Machine Learning systems, models, and schemes.
• Studying, transforming, and converting data science prototypes.
• Searching and selecting appropriate data sets.
• Performing statistical analysis and using results to improve models.
• Participate in the establishment of future research directions and contribute to group grant proposals.
• Document research by publishing papers in high‑quality journal and conferences.
• Collaborate with research group members on research projects
• Direct Interview arrangement and related information and quantitative/qualitative data analysis.
• Analyze and interpret the results using computational software (e.g., SPSS, Smart Pls, Excel, GIS).
• Generate advanced graphs to illustrate the results.
• Assist in writing the research paper (advanced English skills are desired), communicate and disseminate the work.
• Carry out large scale psycholinguistic experiments to validate the frequency statistics of the database.
• Perform other related duties as assigned.

Minimum Qualification

Master/BA MSc in Media or Computer Science or related areas of the study.

Preferred Qualification

As above

Expected Skills

The applicant is expected to be dynamic and highly motivated to work independently and with others.

Salary Range

6,000–7,000 AED/month based on experience and qualification

Close Date

before the closing date. 31/01/2026