Postdoctoral Associate - Applied Machine Learning
Job Snapshot
Role: Postdoctoral Associate - Applied Machine Learning
Location: Abu Dhabi Emirate, United Arab Emirates
Industry: Higher Education
Function: Research
Experience: PhD in Computer Science or related field
Job Type: Full-time
Position Overview
Postdoctoral Associate - Applied Machine Learning in Abu Dhabi Emirate, United Arab Emirates is a high-value hiring opportunity within the Higher Education sector for researchers specializing in artificial intelligence, machine learning, and data science. This role supports advanced applied research in human computation, knowledge discovery, recommender systems, and intelligent data-driven solutions with strong international academic collaboration.
Job Details
Country: United Arab Emirates
City: Abu Dhabi Emirate
Industry: Higher Education
Function: Research
Salary: 18000-28000
Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer.
Gender: Any
Candidate Nationality: Any
Job Type: Full-time
Role Context
This position supports cutting-edge applied machine learning research within the Division of Science by advancing intelligent systems, data-driven modeling, and human-centered computational methods. The selected researcher will work on high-impact academic projects that bridge theory and real-world AI applications while contributing to international collaboration and scientific innovation.
Key Responsibilities
* Conduct applied research in machine learning, human computation, and knowledge discovery
* Support projects involving information retrieval, recommender systems, and knowledge graph representation
* Develop data-driven models and intelligent systems for large-scale analytical applications
* Apply graph theory and network science methods to research problems across multiple domains
* Use modern machine learning libraries and Python-based frameworks for experimentation and model development
* Collaborate with international research partners and contribute to multidisciplinary scientific projects
* Publish high-quality research findings in top-tier conferences and peer-reviewed journals
* Prepare technical reports, research documentation, and academic presentations
* Contribute to the long-term development of the lab’s machine learning research portfolio
Ideal Profile
* PhD in Computer Science or a closely related discipline
* Strong academic background in machine learning, information retrieval, recommender systems, or knowledge graph representation
* Practical expertise in graph theory and network science
* Strong Python programming skills with experience using modern machine learning libraries
* Proven publication record in top-tier conferences and academic journals
* Excellent written and verbal communication skills with strong independent research capability
Skills Set
* Python programming
* Machine learning model development
* Information retrieval systems
* Knowledge graph representation
* Recommender systems
* Graph theory and network science
* Data science and knowledge discovery
* Scientific computing and experimentation
* Research writing and academic publishing
* Technical presentation and collaboration
Why Join Us
* Work on advanced AI and machine learning research with strong real-world application impact
* Join a globally recognized research university with international academic collaboration opportunities
* Access world-class research facilities and interdisciplinary scientific networks
* Competitive compensation package with housing and educational support
* Strong opportunities for publication, conference participation, and long-term research visibility
* Professional growth within one of the UAE’s leading innovation-driven academic environments
About the Company
New York University Abu Dhabi is a globally respected research university delivering excellence across science, engineering, and higher education. As part of NYU’s international academic network, NYU Abu Dhabi supports transformative research, interdisciplinary collaboration, and world-class innovation while advancing knowledge creation across the UAE and beyond.



