Post-doctoral Fellow (various positions)
Job Description
Post-doctoral Fellow (various positions)
Job Title:
9689
Job ID:
Department:
Division of Emerging Interdisciplinary Areas
Job Posting Details
Professor Yike GUO is leading two scientific research teams, namely HKUST Machine Creativity Lab (MACRE Lab) and Hong Kong Generative AI Center (HKGAI). Funded by the University Grants Committee, MACRE Lab is working on a project titled “Building Platform Technologies for Symbiotic Creativity in Hong Kong”, which is one of the largest interdisciplinary projects on humanities, arts and technology in China. HKGAI, which is supported by InnoHK under the Innovation and Technology Commission, is the largest collaborative scientific research project in local history, involving six of the top 100 QS universities in Hong Kong. These will be an important step to develop Hong Kong into an international innovation and technology center. We are now hiring various research-related positions to join the teams. By joining the teams, the appointee will have the chance to work with Professor Yike GUO, Professor Song GUO, professors from overseas universities and industrial R&D professionals from DeepMind, Huawei, IBM, Ping An and JD Research Institutes.
Major research areas are listed below:
1. Large Language Model (LLM)
- Large Language Model Construction (e.g. pretrain, finetune, human-AI alignment, knowledge transfer, complex reasoning and long-context learning)
- Modular and Multi-modal Models (e.g. Mixture of Expert and CLIP)
- Intelligent Agent Construction
2. Visual Large Model (CV-FM)
- Automatic Generation of 3D Scripts/Scenes/Objects/Characters/Movements
- Generation Acceleration Algorithm
3. Music and General Audio Generation (Audio-FM)
- Virtual Singer
- AI Music Creation
- Multi-modal Human-Machine Music Co-creation System (Multi-Agent Collaboration and Empathy)
- Movie Dialogue and Sound Effect Generation
Applicants should have a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Electronic Engineering, Information Engineering, Mathematics or a related field. The ideal candidate should be able to independently carry out scientific research projects and make outstanding achievements, such as high-star open-source projects and/or highly cited/top conference papers; strong in academics and well versed in the principles of deep learning (especially generative algorithms), and in the latest scientific research trends; strong in engineering with solid coding skills; and familiar with frameworks such as PyTorch. (Duration: 1 – 2 years)
Fringe benefits such as medical benefits and paid leave will be provided where applicable. A gratuity will also be payable upon successful completion of contract with a duration of 2 years or above, where applicable.
For more information, please visit the following websites:
- About the Division of Emerging Interdisciplinary Areas: https://emia.hkust.edu.hk/homepage
- About Professor Yike GUO: https://seng.hkust.edu.hk/about/people/faculty/yike-guo
- Part of the Achievements of MACRE Lab: https://www.youtube.com/@Turing.AI.Orchestra
- White Paper Released by MACRE Lab: https://arxiv.org/abs/2209.02388
- About the Project "Building Platform Technologies for Symbiotic Creativity in Hong Kong": https://www.ugc.edu.hk/eng/rgc/funding_opport/trs/funded_research/trs11_lay_sum.html
To apply, please send your application with a full curriculum vitae indicating the current and expected salaries to <hr@hkgai.org> with the subject
(a) “Name_Bachelor/Master/PhD_System Configuration and Management/Data and Engineering/AI Development/Software Development_LLM/CV-FM/Audio-FM”
(b) “Name_Bachelor/Master/PhD_Post-doctoral Fellow_LLM/CV-FM/Audio-FM”
(c) “Name_Bachelor/Master/PhD_Research Assistant_LLM/CV-FM/Audio-FM”.
Review of applications will continue until the positions are filled.
(Information provided by applicants will be used for recruitment and other employment-related purposes. Applicants should read the Personal Information Collection Statement before submission of application.)
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inclusiveness, diversity, and respect.
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