AI Chip Center for Emerging Smart Systems Limited
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Research Assistant
AI Chip Center for Emerging Smart Systems Limited (新界)
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Project Assistant (Corporate Communication and Marketing) (1-year contract)
AI Chip Center for Emerging Smart Systems Limited (沙田)
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Principal Researcher / Senior Researcher
AI Chip Center for Emerging Smart Systems Limited (沙田)
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Principal Engineer / Principal Architect
AI Chip Center for Emerging Smart Systems Limited (沙田)
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Post-doctoral Fellow
AI Chip Center for Emerging Smart Systems Limited (沙田)
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Lead/ Senior/ Research Engineer
AI Chip Center for Emerging Smart Systems Limited (沙田)
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Chief Engineer / Chief Architect (ASIC Design)
AI Chip Center for Emerging Smart Systems Limited (沙田)
1天前
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Research Assistant


新界
0年工作经验

职位描述

Responsibilities

 

 

The Research Assistants are expected to be involved in the development of one or multiple research programs and projects in the Center. He/she will conduct research and development tasks that are assigned by the Principal and/or Senior Researchers. He/she is required to station and work at the Hong Kong Science Park, with occasional business travels to the HKUST Clear Water Bay Campus and other Collaborating Universities of the Center when needed. The position is recruited under the scheme of Research Talent Hub (RTH) of Innovation Technology Commissioner.

 

 

Requirements

 

 

Applicants should have a master degree (MSc or MPhil) preferably in electronics, electrical or computer engineering, computer science, or equivalent, with proven experience in integrated circuit design, design automation or broadly microelectronics. He/she must be legally permitted to work in Hong Kong; and in possession of a master degree of a STEM (i.e. Science, Technology, Engineering and Mathematics)-related discipline awarded by a local university, or jointly awarded by a local university together with a non-local university. Specifically, R&D as well as hands-on implementation experiences in the following area(s) with relevance to the design of AI accelerators are preferred (but not limited to):

 

  • ASIC design, FPGA prototyping, AI algorithm design;

 

  • Strong programming skills of at least one of the following languages: Verilog/VHDL, System Verilog, Python, C/C++, Matlab;

 

  • R&D experiences of using Cadence and Synopsys EDA tools or machine learning frameworks such as Caffe, Tensorflow and PyTorch.

 

 

The ideal candidate should have strong R&D motivation and sense of responsibility, ability to multi-task and work independently, and a good command of written and spoken English.

 

Terms of Appointment

 

 

Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave, medical and dental benefits will be provided.

 

ACCESS is an equal opportunity employer and welcomes applications from all qualified candidates. 

 

 

Application Procedure

 

 

For applications/nominations together with a full curriculum vitae indicating their current and expected salaries, please send it to Human Resources Team ([via Apply Now]). Review of applications will begin shortly and continue until the position is filled. Only shortlisted candidates will be notified. *Please mark “ PRIVATE & CONFIDENTIAL ” and quote the position applied for and its reference number in the subject of the email.

 

(Information provided by applicants will be used for recruitment and other employment-related purposes.)

All applications applied through our system will be delivered directly to the advertiser and privacy of personal data of the applicant will be ensured with security.


工作种类
工作地区 新界
教育程度
学士
口语语言 良好粤语 / 良好英语
书写语言 良好中文 / 良好英语
受雇形式 全职
行业 资讯科技 / 电子商务

有关招聘公司
AI Chip Center for Emerging Smart Systems Limited
The AI Chip Centre for Emerging Smart Systems (ACCESS) is a multi-disciplinary center for advancing IC design and design automation technologies to enable novel data-centric computing paradigms supporting a wide range of AI applications. The research agenda in ACCESS is organized into four research programs, addressing four key technical areas, including 1) Enabling Technology for Emerging Computer Systems, 2) Architecture and Heterogeneous System Integration, 3) AI-Assisted EDA for AI Hardware, and 4) Hardware-Accelerated AI Applications.