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NYU Abu Dhabi Seeks Postdoctoral Associate for AI Bias Detection Research

NYU Abu Dhabi invites applications for a Postdoctoral Associate to tackle AI bias detection, emphasizing impactful research in the Arab world under Professor Hanan Salam.

The Bias, Ethics, and Privacy Cluster at the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) in New York University Abu Dhabi is seeking to recruit a Postdoctoral Associate under the guidance of Professor Hanan Salam. This position focuses on developing frameworks, tools, and theoretical foundations aimed at addressing bias detection and mitigation in artificial intelligence (AI) and data science, with a particular emphasis on the Arab world. Applications will be accepted on a rolling basis until the position is filled.

The successful candidate will collaborate with a multidisciplinary team that operates at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to analyze how bias emerges in data pipelines and AI systems, exploring design and development decisions that may propagate social biases. Key responsibilities will include creating bias detection tools, developing fairness-aware algorithms, and contributing to practical guidelines and theoretical frameworks that tackle systemic bias in data-driven systems.

Applicants must hold a PhD in Computer Engineering, Computer Science, Data Science, AI, Human-Computer Interaction (HCI), or a related field, along with a robust research track record in areas such as algorithmic fairness, bias in machine learning, ethics in AI, or sociotechnical systems. Strong programming and data analysis capabilities are essential, while experience in interdisciplinary research is preferred. The position offers a unique opportunity to influence high-impact research that aims to drive equitable and inclusive AI technologies in the Arab region.

The appointment will be for one year, with the possibility of renewal depending on performance, not to exceed five years in total. The terms of employment are highly competitive, offering a salary that surpasses internationally competitive rates for postdoctoral positions. Additional benefits include generous housing, transportation and travel allowances, educational subsidies for children, full health insurance, and retirement contributions. Notably, the UAE does not impose income tax.

More information about Professor Salam’s lab can be accessed through their website, where prospective candidates can gain insights into the research environment and focus areas. Interested applicants should prepare their materials in PDF format, including a cover letter, a curriculum vitae with a full publication list, a research statement detailing past and current research experiences, a project proposal aligning their work with the lab’s research axes, and at least two letters of reference.

NYU Abu Dhabi, a degree-granting research institution, offers a fully integrated liberal arts and sciences undergraduate curriculum, encompassing the Arts, Sciences, Social Sciences, Humanities, and Engineering. The university is part of NYU’s global network, which includes NYU New York and NYU Shanghai, facilitating international academic mobility for students and faculty. Positioned as a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a venue for scholarly thought, advanced research, and knowledge creation through its diverse academic and creative endeavors.

This initiative represents a broader commitment to fostering responsible AI development, particularly in regions where the implications of algorithmic bias can be profoundly impactful. As global conversations around ethics and fairness in AI continue to evolve, NYUAD’s focus on these themes within the context of the Arab world underscores the importance of localized research in addressing global challenges.

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David Park
Written By

At AIPressa, my work focuses on discovering how artificial intelligence is transforming the way we learn and teach. I've covered everything from adaptive learning platforms to the debate over ethical AI use in classrooms and universities. My approach: balancing enthusiasm for educational innovation with legitimate concerns about equity and access. When I'm not writing about EdTech, I'm probably exploring new AI tools for educators or reflecting on how technology can truly democratize knowledge without leaving anyone behind.

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