Postdoctoral Research Associate in Artificial Intelligence & Data Science – Emirates Aviation University

Job Description

Emirates Aviation University is seeking a highly motivated Postdoctoral Research Associate in Artificial Intelligence and Data Science to support applied research and innovation in Data Analytics, Artificial Intelligence, and Aviation Analytics.

This AI Postdoctoral Researcher position combines applied research, predictive modelling, data-driven application development, academic publishing, industry collaboration, and support for teaching in AI, Data Science, and Business Analytics.

Employer: Emirates Aviation University
Position: Postdoctoral Research Associate
Field: Artificial Intelligence & Data Science
Application Review: Rolling basis

AI Postdoctoral Researcher – Position Overview

The successful candidate will contribute to research and innovation involving Artificial Intelligence, Machine Learning, Data Analytics, and Aviation Analytics.

The role includes developing AI-driven models and decision-support solutions while collaborating with faculty members, researchers, and industry partners.

In addition, the Postdoctoral Research Associate will contribute to research publications, technical reports, grant proposals, software development, and selected teaching activities.

Key Research Responsibilities

The successful candidate will be expected to:

• Conduct high-quality research in Data Analytics, Artificial Intelligence, and Aviation Analytics.
• Develop, validate, and deploy AI and data-driven models.
• Apply machine-learning and predictive-modelling techniques to research problems.
• Collect, preprocess, manage, and analyse large datasets from multiple sources.
• Develop databases and analytical systems to support research.
• Build dashboards and software applications for research and decision support.
• Contribute to interdisciplinary and industry-based research projects.
• Collaborate with faculty members, researchers, and external partners on funded projects.

The role therefore offers opportunities to work at the intersection of AI research, aviation, analytics, and applied technology development.

Software and Application Development

Alongside research activities, the appointee may contribute to the development of technology-based research solutions.

Responsibilities include:

• Developing web-based or mobile applications for AI and analytics projects.
• Implementing data-driven software solutions.
• Supporting decision-support systems.
• Working with databases and data-engineering workflows.
• Contributing to analytical dashboards and visualisation tools.

Accordingly, candidates with practical software-development experience alongside academic research may be particularly well suited to this position.

Research Publications and Project Development

The Postdoctoral Research Associate will also contribute to the University’s research output.

Key activities include:

• Preparing journal articles.
• Writing conference papers.
• Producing technical reports.
• Contributing to research proposals.
• Supporting grant and project applications.
• Presenting research findings effectively.

Excellent technical writing, research communication, and presentation skills are therefore important for the role.

Teaching and Student Support

The successful candidate will support the delivery of modules in areas such as:

• Artificial Intelligence.
• Data Science.
• Business Analytics.

Teaching-related activities may include:

• Lectures.
• Laboratory sessions.
• Tutorials.
• Workshops.
• Student project supervision.

Previous experience teaching or supporting undergraduate or postgraduate courses is desirable.

Qualifications

Applicants must hold a PhD in one of the following areas:

• Data Science.
• Artificial Intelligence.
• Computer Science.
• Software Engineering.
• Business Analytics.
• Statistics.
• Engineering.
• A related discipline.

Research and Professional Experience

Candidates should demonstrate research experience in areas such as:

• Data Analytics.
• Artificial Intelligence.
• Machine Learning.
• Predictive modelling.
• Applied research.

Applicants should also have hands-on experience in one or more of the following:

• Data-driven application development.
• Software implementation.
• Decision-support systems.
• Research publications.
• Technical-report preparation.
• Research or grant proposal development.

Furthermore, experience in collaborative aviation research projects involving industry or academia is desirable.

Required Technical Skills

Candidates should demonstrate strong programming ability in Python and relevant machine-learning frameworks.

Additional expertise should include:

• Database management.
• Data engineering.
• Analytical reporting.
• Mathematical modelling.
• Statistics.
• Machine learning.
• Optimisation techniques.

Strong research, technical-writing, communication, and presentation skills are also required.

Additional Relevant Skills

Knowledge or experience in the following areas will support the role:

• Aviation applications and the aviation domain.
• Higher-education teaching.
• AI, Data Science, or Business Analytics instruction.
• SQL.
• PostgreSQL.
• Power BI.
• Tableau.
• Microsoft Office.
• Other data-visualisation tools.
• Microsoft Azure.
• Amazon Web Services (AWS).
• Docker.
• Git.
• MLOps.

Candidates do not necessarily need every listed technology, but the vacancy identifies familiarity with these tools and platforms as relevant to the position.

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How to Apply

Applicants should submit:

• An updated CV.
• A short cover letter.

Applications should be sent by email to:

recruitment@eau.ac.ae

Applications will be reviewed on a rolling basis.

Candidates should verify the vacancy details and application requirements with Emirates Aviation University before submitting their application.