114 parallel-and-distributed-computing-phd-"Multiple" positions at NEW YORK UNIVERSITY ABU DHABI
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hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied
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Description The SANAD lab at NYUAD is hiring a a Research Assistant/Associate (RA) to work with Dr. Karim Ali in the Division of Science (Computer Science Program) at New York University Abu Dhabi
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technologies. The candidate should have a PhD or MSc in Computer Science or a closely related field (BSc holders will be considered in justified cases). Relevant background and skills include: Experimental
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as instructor with the rank open, depending on experience. Instructors support NYU Abu Dhabi's educational mission by assisting faculty with courses in Computer Engineering. These courses include among
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experiments, and validation of computational models. Required Qualifications: A successful applicant must have a PhD in Civil Engineering, Engineering Mechanics, or Mechanical Engineering. Applicants
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Arab Emirates Application Deadline 24 Sep 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills
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of PhD), or Research Associate (more than 3 years of PhD). A strong preference is for individuals with (a) computer science or computer engineering degrees with previous experience in natural
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collaboration between multiple research groups led primarily by Professor Tarek Abdoun and Professor Mostafa Mobasher. It involves a diverse range of activities including: structural and geotechnical modeling
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on the physical layer and MAC layer design for wireless systems, particularly across multiple spectrum bands. The PDA is expected to actively disseminate results through publications in high-impact journals and