[招生] Full time RA招聘|香港科技大学（广州）推荐系统和自然语言处理方向

Full-time Research Assistant in the Dept. of HKUST GZ DSA Link：cse.ust.hk

1. About DeepSE Lab
We are working on mining software engineering using deep learning including bug prediction and fix generation, and now our lab is extending our interest into general deep learning and recommendation areas using Neural Attention, GNN, and various recent models. Our lab has published research papers at the top venues including @CVPR @ISSTA @ICSE @ASE @ICSE and won many best paper awards. Our lab graduates got faculty positions in various universities and research positions at world-class industries such as Google. We are looking for talented and self-motivated research assistants (RAs) to work on groundbreaking, real-world problems.

2. HKUST RA Job Description
You will have the opportunity to address real-world problems using deep learning techniques, in the field of recommender systems or natural language processing.
(1) Recommender systems

• Surveying and implementing recommendation algorithms
• Recommendation algorithms based on CF, Graph, Transformer, RL, etc.
• Bias and debias algorithms
• Personalized recommendation system
• Efficient algorithms for large-scale recommendation system
• Developing recommendation systems used in actual services
  

(2) Natural language processing
What you will do:

• Present and discuss literature reviews
• Reproduce SOTA models and upload to internal leaderboard
• Develop new models and publish academic papers
• Main areas of interest include the following:
• Information extraction: Entity recognition, entity disambiguation, aspect-based sentiment analysis (ABSA), etc.
• Information retrieval: Dense retrieval, learning to rank, approximate nearest neighbors, etc.
• Document understanding: Post-OCR parsing, table identification and extraction, etc.
  

3. Qualifications

• Strong background in mathematics, computer science, deep learning techniques and technical trends
• Strong implementation skills
• Good communication skills in English
  

4. Employment Type & Salary

• Full-time (6 months or more, 18,000HKD/month )
  

5. Benefits

• Work remotely (Anywhere on Earth)
• Work under the supervision of Sung Kim and other HKUST faculty
• Provide enough computing resources including GPU and/or cloud credits
• Being inspired your future research through dealing with real-world problems and data from industry
• Considered as a Ph.D. candidate in 2023 with a priority
• Will have strong recommendation letters for other jobs and universities (if needed)
  

6. Application
Send your cover letter, CV, and GitHub ID to [email protected]. Please title [RA2022] Your Name - your interest (one or two words)