Research Assistant Professor
The University of Hong Kong
Apply now Ref.: 530755
Work type: Full-time
Department: Department of Civil Engineering (14100)
Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff
Hong Kong
Research Assistant Professor in the Department of Civil Engineering
(Ref.: 530755) , to commence as soon as possible for two years, with the
possibility of renewal.
Duties and Responsibilities (Each RAP will focus on one of following
duties)
Human-Robot Collaboration-based Digital Twin in Production Processes. (1) Perception: Alignment, representation, and fusion of multi-source heterogeneous data; recognition and prediction of actions, intentions, etc. (2) Decision-making: AI agent-based task planning and allocation. (3) Control: End-to-end control based on reinforcement learning.
Intelligent Production Scheduling. (1) Distributed Factory Modular Construction Production: Intelligent work package planning and scheduling optimization for modular construction (LP, hyperheuristics, dynamic programming, reinforcement learning). (2) Modular Construction Project Scheduling: Stochastic planning, distributed robust optimization. (3) Progress Auto-Generation Based on Large Language Models: (NLP4Op, natural language processing, generative models).
Production Knowledge Engineering. (1) Floor Plan Generation and Intelligent Configuration Optimization: Based on generative models and graph models. (2) Exploration of Ontology and Knowledge Graph Semantic and Structural Characteristics: Build an ontology and graph understanding and auto-construction system for cross-project and cross-task in the construction domain. (3) Language Model Construction and Application in the Engineering Field: Research on language models suitable for engineering domains, considering the characteristic experience accumulation in construction and the uniqueness, temporality, and multimodal data complexity of engineering projects, including but not limited to synthetic data generation, retrieval-augmented generation, and model continuous learning technologies.
Enquiries about the duties of the post should also be sent to Dr. Xiao LI at
[email protected].
Requirements
Candidates should possess a PhD in Computer Science, Industrial Engineering,
Automation, Civil Engineering, Electronic Information, Artificial Intelligence
or any related field. They must be able to commit to full-time employment
without any other concurrent employment obligations.
The following skills and knowledge are expected:
Relevant technical foundation related to the above research directions,
such as image processing, deep learning, reinforcement learning, large
models, control theory, etc.; a solid foundation in computer science and
mathematics; familiarity with simulation software such as Nvidia Omniverse
or Gazebo (not a strict requirement).
Proficiency with mainstream solvers (Gurobi, CPLEX); expertise in at
least one programming language (such as Python); familiarity with
machine learning or deep learning frameworks (such as PyTorch);
knowledge of reinforcement learning fundamentals and algorithms (SAC,
PPO, DDPG). Research experience in production scheduling, project
scheduling, or code generation is a plus.
Proficiency in at least one programming language (such as Python);
familiarity with machine learning or deep learning frameworks (such as
PyTorch); experience in data analysis and multimodal data processing is a
plus; research experience in knowledge graphs, natural language
processing, or generative models is a plus.
What We Offer
The appointment will commence as soon as possible on a 2-year temporary basis,
with the possibility of renewal subject to satisfactory performance and
funding availability. A highly competitive salary commensurate with
qualifications and experience will be offered. Other benefits include annual
leave, medical benefits, and free access to on-campus gyms and libraries.
How to Apply
The University only accepts online applications for the above post. Applicants
should apply online and upload an up-to-date C.V. Review of applications will
start as soon as possible and continue until December 31, 2025 , or
until the post is filled, whichever is earlier.
The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency
Advertised: Dec 27, 2024 (HK Time)
Applications close: Dec 31, 2025 (HK Time)
Apply now
