Research Assistant I / II (R6860) (S&T) at Open University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

05 Oct, 26

Salary

0.0

Posted On

07 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Deep Learning, Python Programming, Neural Network Architecture, Image Classification, Data Preprocessing, Literature Review, Machine Learning, High-energy Physics

Industry

Higher Education

Description

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. Being the first University of Applied Sciences (UAS) in Hong Kong, we pledge to play a pioneering role in enhancing recognition of vocational and professional education and training, and nurturing talents with both applied skills and knowledge. 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 https://www.hkmu.edu.hk. We are now looking for a suitable person to fill the following position in the School of Science and Technology: Major Duties and Responsibilities The appointee will be responsible mainly assist the research team in a research project "A Novel Vision Transformer-Based Neural Network for Image Classification and Jet Tagging in Lepton-Flavor Violating Processes" (R6860). He / She will be responsible mainly for the following: Collecting and preprocessing data for machine learning model training; Developing AI models, both by adapting existing frameworks and building architectures from scratch; Evaluating and benchmarking model performance; Conducting literature reviews by searching and synthesizing recent journal articles; and Performing any other research or administrative duties as assigned by the Principal Investigator(s) or Supervisor(s). Candidates Candidates should possess the following qualifications, experience and competence: A master’s degree or above in Physics, Data Science, Computer Science, or a related discipline (for Research Assistant I); A bachelor’s degree or above in Physics, Data Science, Computer Science, or a related discipline (for Research Assistant II); Good command of written and verbal communication skills. Fluency in English is preferred, while knowledge of Cantonese and Putonghua is not essential; Proven experience in deep learning model development, including designing neural network architectures from scratch, is essential; Solid foundational knowledge of Python programming is required; high proficiency will be a distinct advantage; A basic understanding of high-energy physics will be an advantage; and Prior research experience with CERN or other particle collider experiments will be considered an absolute advantage. Terms and Conditions for Appointment An 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 provided. To Apply Candidates 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.

Responsibilities

The appointee will assist in a research project focusing on Vision Transformer-Based Neural Networks for image classification and jet tagging. Key duties include developing AI models, preprocessing data, and conducting literature reviews.