Job Posting Details
We are a dynamic research team at the intersection of cutting-edge AI/ML and impactful real-world applications.
Leveraging unique data assets and industry collaborations, we tackle challenging problems in innovation, labor market, and finance with academic rigor and practical relevance.
Our environment fosters innovation and excellence, supporting high-impact publications and meaningful career transitions.
Research Focus & Goals:
We seek a Post-doctoral Fellow in Machine Learning/Artificial Intelligence to pioneer novel algorithm development.
You will create innovative ML methodologies focused on extracting deep insights from complex data structures, with applications in strategic decision-making and pattern discovery.
Your work will target premier AI/ML and interdisciplinary journals/conferences, ideal for building a strong academic portfolio.
Qualifications:
Required:
PhD (recent or imminent) in Computer Science, AI, Machine Learning, Statistics, or a related discipline.
Solid theoretical background and demonstrated capability for independent research in core areas of ML/AI.
First-author publications in top-tier ML/AI conferences or journals (e,g.
NeurIPS, ICML, ICLR, KDD).
Proficient in Python and deep learning frameworks like PyTorch or TensorFlow.
Demonstrated passion and ability for developing novel algorithms and complex ML models.Excellent communication skills in English and a proven ability to work collaboratively in a team environment.
Preferred:
Experience in areas such as graph learning, time series analysis, interpretable machine learning, representation learning, or generative models are preferred.
Interest in applications in business, finance, economics, or organizational analytics.
Experience working with large-scale, heterogeneous datasets.
Strong implementation skills.
What We Offer:
1._Unique Research Platform:
Access to proprietary, large-scale datasets enabling novel research.Opportunities to tackle significant problems with interdisciplinary appeal.Dedicated support for publishing in leading AI/ML and top-tier interdisciplinary conferences/journals.2.
Career Development & Faculty Transition Support:
Explicit mentorship for candidates targeting business school (e.g., Information Systems) faculty positions.Collaboration with researchers across technical and business domains.Support for networking within relevant academic communities.3.
Innovative Environment: A collaborative culture encouraging creativity and boundary-crossing research.
(Duration: 1 year, renewable)
How to Apply:
Interested candidates are invited to submit their applications by emailing a single PDF file to Dr. Zhitao Yinat .
Please use the subject line “Postdoc Application - [Your Name] - [University]”and include the following:
CV: Full history and publication list (highlighting your top-tier work).Research Statement (1-2 pages): A summary of your past research, an outline of your future interests (including interdisciplinary aspirations), and a statement of your motivation for this role and your career goals.Representative Publications: 1-3 papersReview of applications will begin immediately and continue until the positions are filled.We appreciate the interest of all applicants, but advise that only shortlisted candidates will be notified of the result of the application.
(Information provided by applicants will be used for recruitment and other employment-related purposes.Applicants should read the before submission of application.)
HKUST is an equal opportunities employer and is committed to our core values of
inclusiveness, diversity, and respect.
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