Temporary Research Associate –Machine Learning Specialist (R7501) (Ref: 2400295)

We are now looking for a suitable person to fill the following position in the School of Arts and Social Sciences:

Major Duties and Responsibilities

The appointees shall mainly assist the research team in a research project “Virtual Reality-based Driving Training System” (R7501). The appointee will be responsible mainly for the following:

• Researching and developing machine learning based computer vision technique for 3D reconstruction / object recognition and segmentation;
• Researching and developing machine learning based algorithm for generative event;
• Writing academic reports for journal paper submission;
• Assisting the Principal Investigator/supervisors to prepare experiments; and
• Conducting other ad-hoc research activities as instructed by the Principal Investigator.

Candidates

Candidates should possess the following qualifications, experience and competence:

• A Doctoral degree in the research field of Computer Graphics and Vision, Data Science, or track-record of publication or research projects in related fields; 
• Proficient in Python, C/C++, large scale neural network training, 3D point cloud / mesh data processing, pytorch, tensorflow, CUDA, NCCL, MPI, and other relevant experience is preferred.
• Expert knowledge in research and developing machine learning based computer vision application and generative AI application;
• Fresh PhD graduates are welcome;
• Detail-oriented, hardworking, responsible, self-motivated, able to meet deadlines and work independently; and
• Excellent command of spoken and written English and Chinese.

Terms and Conditions for Appointment

Successful candidate will be appointed on a temporary full-time contract.  Benefits will be provided in accordance with the statutory provisions.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.

https://hkmu.taleo.net/careersection/ex_non_full_time/jobapply.ftl?lang=en&job=2400295

Please contact Dr. William Lai at 3120-2531 for enquiries about the post. Please indicate your expected salary.

Closing date of application: 31 October 2024

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