12 distributed-algorithms research jobs at Hong Kong Polytechnic University in Hong Kong
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project - “Theory and algorithms for multi-stage stochastic optimization and variational inequalities”. Qualifications Applicants for the Postdoctoral Fellow post should have a doctoral degree or an
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hepatocellular carcinoma datasets; (c) create innovative algorithms/systems based on the hepatocellular carcinoma-MLLM for precision diagnosis, personalised treatment recommendation, survival prediction and real
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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qualification; (b) strong background in extensive model optimisation on machine learning algorithm; and (c) good communication skill in English. Applicants are invited to contact Prof. Kay Chen Tan
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- “Data-driven algorithms for multi-product inventory systems with non-stationary demand”. Qualifications Applicants should have:- (a) a doctoral degree, preferably in the area of operations management
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in algorithms development and refinement; (b) a good command of both written and spoken English; and (c) at least two first-authored publications. Preference will be given to those with: (a
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) optimise BIM software performance and address challenges, including model processing, data storage, and rendering efficiency; and (e) collaborate with AI algorithm teams to understand the business
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- “Research on methods for distributed workshop scheduling considering loading efficiency”. Qualifications Applicants should: (a) have an honours degree or an equivalent qualification; (b) have experience
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proficient in Python and at least one deep learning framework (PyTorch/TensorFlow/JAX); (b) be familiar with distributed training frameworks such as Hugging Face Transformers, DeepSpeed and Megatron-LM; (c
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implementation; b) monitor the project implementation details; c) develop control algorithms and digital twin models; d) guide prototype development and laboratory testing; e) analyse test data and