HKRC research areas include but are not limited to:

Deep learning, meta-learning, automatic machine learning, reinforcement learning, and Bayesian learning;

Natural language processing, speech recognition, speech synthesis, machine translation, dialogue and question answering system, pre-trained language model, multi-modal learning, and knowledge graph;

Causal structure learning algorithm, and causal theory;

Optimization of multi-factory joint machining plans, and development of large-scale linear programming solvers (CPLEX, Gurobi, SCIP, and CLP);

Machine learning, data mining and AI theory and technology, including network traffic prediction, intelligent network management and control, and resource allocation optimization, transforming research ideas into enterprise solutions;

Visualization of deep learning process (including training data, model training process and feature reasoning), text classification and clustering, language translation, and knowledge graph construction; and

Optimal transport theory, nonlinear dynamic systems, optimal control, and graphs theories, graph computing, linear algebra, matrix analysis, random matrix, compressed sensing, signal processing, information theory, communication principles, optimization theory, operations research, calculus theory, nonlinear and AI network science and other basic theoretical research.

As a successful candidate, you will be provided with:

Opportunities to work on a wide range of challenging projects and exposure to cutting-edge technologies;

Mentorship by world-class tech experts, which will be both exciting and conducive to your future career path;

Competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements.