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Post-Doctoral Associate in the Division of Engineering (Computer Engineering), Dr. Tuka Alhanai

Abu Dhabi, United Arab Emirates
Closing date
26 Jun 2024

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Job Details


The Laboratory for Computer-Human Intelligence in the Division of Engineering of New York University Abu Dhabi (NYUAD), seeks to recruit a motivated Post-Doctoral Associate to work on cutting-edge machine learning / artificial intelligence applications that utilize human signals (e.g. text, audio, physiology).

Technical Experience

The successful applicant will have the following technical experience in:

  • The development of end-to-end applications (e.g. databases, algorithms, visualizations).
  • Processing one or more data types/signals (e.g. text, audio, images, physiology).
  • Applying machine learning algorithms (e.g. regression, neural networks).
  • Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as code version control (git).
  • Authoring peer-reviewed scientific papers in top-tier scientific venues.


The successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality.

Educational Experience

The successful application will have a PhD degree in Computer Science (or equivalent major).

Application Requirements

Applications will be considered on a rolling basis until the position is filled. An applicant that passes the review process will be accepted immediately. The terms of employment are very competitive and include housing and educational subsidies for children. To be considered, all applicants must submit both a screening form and a full application docket in PDF format.

Step 1: Completion of the screening form available here:

Step 2: The full application docket in PDF format must include the following:

  1. Cover letter
  2. Curriculum Vitae
  3. Transcript of degree
  4. Research Statement
  5. Two letters of recommendation

If you have any questions, please email:

Professor Tuka Alhanai, Lab Principal Investigator at


NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.


This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

Equal Employment Opportunity Statement

For people in the EU, click here for information on your privacy rights under GDPR:

NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.


Company info
PO BOX 129188

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