IT Blog


Post-Doctoral Associate in the Division of Engineering (Computer Engineering) Dr. Muhammad Shafique job with NEW YORK UNIVERSITY ABU DHABI | 316300 – Times Higher Education

Skip to main content
Daily resources for
academics and university staff
Everything you need for each step
of your study abroad journey
Visit timeshighereducation.com
The eBRAIN laboratory 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 advanced machine learning (ML) technologies, and their embedded implementation in real-world applications from different fields like autonomous systems, healthcare, robotics, etc., with a focus on high performance and energy efficiency.
The focus of the eBRAIN lab is on building energy-efficient and robust brain-inspired, autonomous, and cognitive systems through cross-layer analysis and design methods, engaging hardware, software, and system level techniques synergistically. Prof. Shafique’s lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust AI/ML and 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 embedded AI/ML systems like autonomous vehicles, UAVs, 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 conjoint hardware and software techniques for advanced machine learning systems, targeting high energy-efficiency, robustness, and continual learning. Further topics include optimized implementations of transformers, self-supervised learning, continual learning, and MLOps. 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. These projects have a great potential for devising innovative methods to enable next-generation embedded AI features for autonomous systems, assistive robotics, and smart energy & industrial sectors. 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 in an international team with 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 Science, Computer Engineering, or a related field. Extensive and sound knowledge of ML, AI, deep neural networks (DNN), DNN optimization (like pruning and quantization), ML frameworks (like PyTorch and Tensorflow), and Prototyping ML systems is required. The candidate should demonstrate a solid experience in practical ML system development. Additional knowledge on MLOps, energy-efficient computing, system-level design and optimization, and hardware design skills (FPGA and/or ASIC), statistics, and/or 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 are very competitive, including a base salary, housing, educational subsidies for children, and a travel allowance. The application deadline is 10 Dec.2022, however, the applications will be accepted and evaluated immediately, and candidates will be considered until the position is filled. To be considered, all applicants must submit the following documents, all in PDF format.
If you have any questions, please email Prof. Muhammad Shafique at muhammad.shafique@nyu.edu.
About NYUAD:
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
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an equal opportunity employer committed to equity, diversity, and social inclusion.
back to top
© 2015 – 2022 THE World Universities Insights Limited. Powered by Madgex Job Board Software