Research Assistant at The Chinese University of Hong Kong

, Hong Kong, China -

Full Time

Start Date

Immediate

Expiry Date

01 Jan, 26

Salary

0.0

Posted On

03 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Science, Data Science, Economics, Programming Skills, Python, PyTorch, Reinforcement Learning, Machine Learning, Inverse Reinforcement Learning, Data Management, Data Visualization, LaTeX, Organized Work Approach, Reliability, Academic Research, Quantitative Marketing

Industry

Higher Education

Description

Professor Seung Yoon Lee’s research team is seeking a qualified Research Assistant to support various research projects. This position requires strong computer science skills, attention to detail, and commitment to rigorous research standards. Applicants should have (i) a Bachelor’s or a Master’s degree in Computer Science, Data Science, Economics, or a related quantitative discipline; (ii) strong programming skills in Python (PyTorch or similar frameworks); (iii) familiarity with reinforcement learning and machine learning methods, with experience in inverse reinforcement learning an advantage; (iv) experience with large-scale text and image embeddings, including use of APIs for translation or embedding generation; (v) the ability to manage and process large datasets and parallelise workflows efficiently; (vi) skills in data visualisation and LaTeX for preparing figures and tables; (vii) an organised and methodical work approach; (viii) reliability and consistency in meeting research deadlines; and (ix) a strong interest in academic research in quantitative marketing and machine learning. The appointee will be responsible for, including but not limited to, (a) implementing and developing inverse reinforcement learning models (e.g., Maximum Entropy IRL, AIRL) using large-scale gameplay data; (b) conducting simulation experiments and counterfactual policy evaluations; (c) performing descriptive analyses of text and image data (e.g., embeddings, clustering, topic modeling, image features) and fine-tuning classification models using data from digital platforms; (d) assisting with data cleaning, preprocessing, and reproducibility checks; (e) conducting literature reviews and organising references; and (f) preparing research documentation, figures, and tables for presentations and publications. Appointment will initially be made on contract basis for five months commencing as soon as possible, renewable subject to good performance and mutual agreement. Applicants should submit the following documents in the online application: (1) a curriculum vitae including personal details, education, professional experience, and contact information for two to three academic references; and (2) a cover letter detailing motivation and career plan. The University only accepts and considers applications submitted online for the post above via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.

Responsibilities

The appointee will implement and develop inverse reinforcement learning models and conduct simulation experiments. They will also perform descriptive analyses of text and image data and assist with data cleaning and literature reviews.