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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 .
Date Posted: 02/10/2025
Job ID: 127938735
The Chinese University of Hong Kong (CUHK) is a public research university in Shatin, Hong Kong, formally established in 1963 by a charter granted by the Legislative Council of Hong Kong. It is the territory's second-oldest university and was founded as a federation of three existing colleges – Chung Chi College, New Asia College and United College – the oldest of which was founded in 1949.
CUHK is organized into nine constituent colleges and eight academic faculties, and remains the only collegiate university in the territory. The university operates in both English and Chinese, although classes in most colleges are taught in English. Four Nobel laureates are associated with the university, and it is the only tertiary institution in Hong Kong with recipients of the Nobel Prize, Turing Award, Fields Medal and Veblen Prize sitting as faculty in residence.
