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Part-time Research Assistant

Science / Laboratory / Research & Development • Part Time • Hong Kong, Hong Kong, HK • 3w ago

Strong problem-solving capabilities and attention to detail.
Excellent communication and presentation skills.
Ability to work effectively in a team-oriented environment.

Part-time Research Assistant

Department of Architecture

Key Responsibilities

Digital Twin Development:

Collaborate with the team to develop an urban scale digital twin models.
Integrate IoT, GIS, and other technologies to create comprehensive and interactive urban models.
Test and validate digital twin systems and update models based on real-time data / most recent data feedback.

Documentation & Reporting:

Identify data gaps in the information provided by the team.
Maintain comprehensive documentation for all data processes and software applications.
Prepare detailed reports and presentations on findings and digital twin functionalities.

Stakeholder Engagement:

Present findings and project updates to various stakeholders.

Qualifications

Master’s degree in Data Science, Computer Science, Urban Planning, Real Estate & Construction, or a related field.
Strong understanding of Hong Kong industrial buildings, urban development and planning processes.

Experience

2+ years of experience in data analysis or related field.
Demonstrated experience in developing digital twins or simulations in urban contexts.
Proven track record of working with large datasets and complex modeling.

Skills

Proficiency in programming languages such as Python, Java, or C# to develop algorithms and handle data processing.
Experience with databases such as SQL.
Experience in GIS software (e.g., ArcGIS, QGIS).
Familiarity with CAD tools (like AutoCAD, SolidWorks) and simulation software (like MATLAB, Simulink) for creating and testing digital models.
Understanding of IoT platforms (like AWS IoT, Azure IoT) and familiarity with network communication protocols for data integration.
Knowledge of machine learning frameworks (like TensorFlow, PyTorch) for predictive analytics and analysis.
Skills in visualization tools such as Tableau, Power BI, or Matplotlib.
Ability to create clear and effective visual representations of data.
Understanding of cloud services (AWS, Google Cloud, Microsoft Azure) for storage and computational power.
Ability to interpret various statistical results and make data-driven decisions.

Soft Skills:

Strong problem-solving capabilities and attention to detail.
Excellent communication and presentation skills.
Ability to work effectively in a team-oriented environment.

Interested parties please send full resume with salary expectation and availability by clicking [via CTgoodjobs Apply Now].

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