The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.
Key Responsibilities:
The Research Associate will work on the respective areas of reliable network-on-chip (NoC), fault-tolerant NoC, dynamically reconfigurable NoC, photonic NoC, and non-volatile memory. It can be further extended to edge computing and machine learning related topics, including but not limited to the following topics:
Explore the adaptivity of NoC designs for emerging machine learning applications
Extend the proposed methods to supercomputers and data centers
Implement these algorithms and experiments for scalable on-chip communication architecture, application mapping and scheduling for heterogeneous multiprocessors
Collaborate with other team member(s) for more efficient outcome delivery
The initial contract should be 1 year, while it is extensible subject to performance.
Job Requirements:
Master’s degree or above in Computer Science/Engineering or Electronic Engineering at a top-tier university. Fresh graduates are welcome to apply. Experienced applicants are preferred.
Experience in deep learning, machine learning, design automation, embedded systems, real-time systems, computer architecture, computer-aided design, etc. or related fields
Research on different deep-learning and machine-learning based algorithms and applications
Implement the algorithms and experiments for the application level
Analyze the complexity of different algorithms and perform evaluation on different application-level metrics.
Collaborate with other team member(s) for more efficient outcome delivery.
Perform administrative works assigned by the PI to ensure the smoothness of the project
Good spoken and written English
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .
The School of Computer Science and Engineering (SCSE) invites applications for the position of Research Associate.
Key Responsibilities:
The Research Associate will work on the respective areas of reliable network-on-chip (NoC), fault-tolerant NoC, dynamically reconfigurable NoC, photonic NoC, and non-volatile memory. It can be further extended to edge computing and machine learning related topics, including but not limited to the following topics:
Explore the adaptivity of NoC designs for emerging machine learning applications
Extend the proposed methods to supercomputers and data centers
Implement these algorithms and experiments for scalable on-chip communication architecture, application mapping and scheduling for heterogeneous multiprocessors
Collaborate with other team member(s) for more efficient outcome delivery
The initial contract should be 1 year, while it is extensible subject to performance.
Job Requirements:
Master’s degree or above in Computer Science/Engineering or Electronic Engineering at a top-tier university. Fresh graduates are welcome to apply. Experienced applicants are preferred.
Experience in deep learning, machine learning, design automation, embedded systems, real-time systems, computer architecture, computer-aided design, etc. or related fields
Research on different deep-learning and machine-learning based algorithms and applications
Implement the algorithms and experiments for the application level
Analyze the complexity of different algorithms and perform evaluation on different application-level metrics.
Collaborate with other team member(s) for more efficient outcome delivery.
Perform administrative works assigned by the PI to ensure the smoothness of the project
Good spoken and written English
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTU
In line with Singapore’s nationwide Vaccination-Differentiated Safe Management Measures (VDS), employees must be fully vaccinated to return to the workplace, unless certified to be medically ineligible. For Information on VDS, please click here .
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