Research Associate / RA I / RA II - Natural Language Processing Specialist (R7046) (A&SS)
The Open University of Hong Kong
Hong Kong
Permanent
Part-time
15 days ago
Founded in 1989, Hong Kong Metropolitan University (HKMU) is a modern, vibrant and dynamic university. We tailor our professional programmes to adapt to market trends and meet industry needs, thus providing our students with quality professional education and clear career paths. As a faculty-driven, student-centred university in support of innovative teaching and learning, strategic research, and stakeholder outreach to provide maximum benefit to our communities, we conduct research that advances knowledge and enhances teaching, focusing on strategic areas, including digital humanities and literature, international business, gerontechnology, personalised care, smart city, open and innovative education, and bilingual learning and teaching. HKMU is becoming an ever more vital link in addressing and helping Hong Kong to solve many difficult challenges – as part of our involvement in, and commitment to, the ‘metropolis’ of Hong Kong. Our plans to expand into the Greater Bay Area (GBA) will also cultivate talent to serve Hong Kong and the wider metropolitan GBA.For more information about the University, please visit .We are now looking for a suitable person to fill the following position in the School of Arts and Social Sciences:QualificationsMajor Duties and ResponsibilitiesThe appointees shall mainly assist the research team in a research project “Teaching and Learning in Digital Humanities: A Study of Enhancing the Experiences of Chinese Literature and Culture through Interactive Installations for Immersive Space”. The appointee will be responsible mainly for the following:
Researching and developing machine learning based technique for natural language processing and interaction tools for large-scale immersive space;
Researching and developing generative AI for the teaching and learning of Chinese Literature and Culture;
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.
CandidatesCandidates should possess the following qualifications, experience and competence:
At least a Bachelor's degree in Computer Science or a related discipline.
Applicants whose highest qualification obtained is a Doctoral degree may be considered at the level of Research Associate;
Applicants whose highest qualification obtained is a Master’s degree may be considered at the level of Research Assistant I; and
Applicants whose highest qualification obtained is a Bachelor's degree may be considered at the level of Research Assistant II.
Knowledge in conducting research and development in the field of Natural Language Processing, Transformer, Deep Learning, Data Science, or track-record of publication or research projects in related fields;
Proficient in Python, C/C++, large scale neural network training, language model, data processing, pytorch, tensorflow, CUDA, NCCL, MPI, and other relevant experience is preferred.
Experience in research projects related to Chinese language processing is a plus;
Part-time MPhil / PhD students are encouraged to apply;
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 AppointmentAn attractive remuneration package, including basic salary and an end-of-contract gratuity will be offered to the right candidates. Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be providedTo ApplyCandidates who are interested in joining us may submit their applications via the University’s eRecruitment System.The personal data collected will be used for the purpose of considering your application for employment. For details, please refer to the “Personal Data (Privacy) Notice for Job Applicant” on the University’s website. If you are not contacted by the University within eight weeks from the closing date of application, you may assume that your application was unsuccessful.
