159 distributed-algorithms-"Prof" positions at Hong Kong Polytechnic University in Hong Kong
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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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- “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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-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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- “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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computing such as large language models, distributed computing, and Data science. Applicants with experience in C/C++/Golang or KDB/Q or DDD/Eventsourcing/CQRS are strongly preferred. Applicants are invited
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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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Prof. Li Lei at telephone number 3400 3418 or via email at leihk.li@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered. Consideration
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are invited to contact Prof. Liu Wu at telephone number 2766 7387 or via email at wu.liu@polyu.edu.hk for further information. Conditions of Service A highly competitive remuneration package will be offered
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given to those with research experience in drone delivery optimization, machine learning, reinforcement learning and operation research. Applicants are invited to contact Prof. Siyuan Feng at telephone