The eBRAIN Lab (https://ebrain4everyone.com) in the Division of Engineering at New York University Abu Dhabi invites applications for a Post-Doctoral Associate position, to work in the area of research and development (R&D) of next-generation Edge-AI and Embodied-AI Systems with tiny-LLMs, tiny-VLMs, tiny-VLAs; Agentic-AI systems; and Robust Generative AI targeting hallucination, safety and security issues. Besides robustness, systems should also be optimized for high performance and energy-efficiency to realized efficient Embodied/Edge-AI implementations. A key focus will be on investigating novel methods with strong theoretical foundations as well as their full-system deployment in real-world applications from different fields (like autonomous systems, healthcare, and robotics) with cross-validation.

Prof. Shafique’s lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust brain-inspired, autonomous, and cognitive systems and intelligent vision systems, including efficient learning and inference of complex AI/ML algorithms, specialized neural processing hardware and design tools, and ML security, and their applications in resource-constrained Embodied-AI systems (like autonomous vehicles, UAVs/UGVs, Robotics, smart houses/cities, Wearables, and Healthcare). The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable assistive cognitive technologies that care for / serve humanity and the ecosystem in a safe and green way.

The successful applicants will join and drive a number of fascinating projects on designing, implementing, optimizing, prototyping and testing innovative solutions (software, hardware, or both) for the next-generation embodied-AI, GenAI and Agentic-AI systems, targeting high performance & energy-efficiency, robustness, and trustworthiness. A key focus will be on IP generation, patenting, high-quality publications in top-tier ML/AI, Robotics, and Systems conferences, and efficient prototyping for real-world use-cases. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists, research engineers, graduate research students and undergraduate students, to investigate cutting-edge scientific methods and to develop full-system prototypes. The eBRAIN lab offers an excellent working environment with an international team of excellent researchers and engineers, high-tech equipment, and active R&D engagement, thereby providing many development possibilities. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators.

Requirements:

Applicants should have a PhD in Computer Engineering, Computer Science, or a related field. Extensive and sound knowledge of ML, AI, DNN, LLMs/VLMs, Multimodal LLMs, RAG, Agentic frameworks, tinyML, ML frameworks (like PyTorch and Tensorflow), and Prototyping ML systems is required. The candidate should demonstrate a solid experience in practical AI/ML system development. Additional knowledge on MLOps, robust/secure computing, Hallucinations and Alignment, privacy-preserving ML, and ML security is highly desirable. Applicants with strong industrial experience and/or with publications at top/A* ML venues (conferences and journals) are highly preferred. The candidates are also expected to have strong organization, problem-solving, analytical, communication and writing skills as well as high motivation to pursue world-class research and development for practical ML/AI systems.

Application Procedure: The terms of employment for these positions include very competitive salary with additional attractive benefits, including generous housing allowance, medical insurance with access to world class facilities, annual home leave allowance, and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling, computing, publications, etc. and will have access to excellent world-class research facilities.

The preferred starting date is September.2026, but earlier dates are also possible based on the excellence of the candidate and the processing steps. Applications will be accepted immediately and candidates will be considered until the position is filled. Review of applications will start simultaneously, and will continue until the position is filled.

To be considered, all applicants must submit the following documents, all in PDF format.

1. A cover letter
2. Detailed curriculum vitae (CV) with R&D and programming skillset
3. Full list of professional/industrial experience and scientific publications
4. University degrees and transcripts (with grades), or a letter from supervisor/university officials regarding tentative completion date.
5. 1-page executive summaries of PhD and MS Theses
6. 1-page summary of professional experience, future growth plans
7. 1-page of R&D accomplishments and interests
8. 1-page letter of Motivation
9. At least 2 letters of recommendation with contact information of the referees (can be provided later, if slightly more time is required)
10. R&D statement with an envisioned workplan over 2 years (can be provided after shortlisting)
11. Download links for the PDFs of PhD and MS Theses (if available).

If you have any questions, please email Prof. Muhammad Shafique at muhammad.shafique@nyu.edu.

About NYU Abu Dhabi

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NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.

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