Hong Kong Chu Hai College Limited 香港珠海學院招聘

Research Assistant (Data Scientist) (Full Time)

Project Title:

Optimized decision-making models for facilitating adaptive reuse of vacant industrial buildings for residential use 优化決策模型以促進空置工業建築的適應性再利用為住宅用途 (RGC Ref: UGC/FDS13/E04/25)

Description of project

This research aims to develop a multi criteria decision making model by establishing critical factors that impact adaptive reuse of industrial buildings. Artificial Intelligence (AI) / machine learning and other smart systems will be adapted for digital twin development, multi-factor analysis, predictive modelling, optimization and automation of routine decisions, scenario analysis and design process optimization.

Initial appointment period: 9 months starting from May 2026, subject to renewal based on project requirements and performance Key Responsibilities

The appointee is expected to:

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.

Applicants should possess:

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 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.

Research Fellow/Research Associate

(3 headcounts; full-time for 9 months, renewable subject to performance and funding availability)

Project Ref. No.:

CHC/RMGS/19/001(Project title: Belt and Road Studies - Development of Economy, Industries and Trade in Belt and Road Countries)

Responsibilities:

Assist project leader on research projects on “Belt and Road Studies - Development of Economy, Industries and Trade in Belt and Road Countries”;
Assist in liaising and communication with external stakeholders;
Assist in organizing research activities including conferences and seminars; and
Assist in data collection, data analysis, etc..

Requirements:

A doctoral degree or equivalent qualification on Belt and Road Studies;
At least 5 years post-qualification or relevant research experiences;
Have a good command of both written and spoken English and if possible fluent speaking Mandarin;
Have a strong organizational and communication skills.

Closing Date: Consideration of applications will continue until the position is filled.

Assistant/Associate/Full Professor {Open Rank Application for Faculties}

Hong Kong Chu Hai College - A Legacy of 78 Years, A Vision for the Future

Established in 1947, Hong Kong Chu Hai College has a distinguished history of 78 years of academic excellence and contributions to societal talent development. As we approach a pivotal moment in our journey towards achieving university status, we are embarking on the most ambitious chapter in our history, poised for a significant transformation and new heights of excellence.

To support this transformative journey, we are launching a comprehensive recruitment campaign for open-rank academic positions across our three core Faculties and one Institute. We warmly invite passionate scholars committed to shaping the future of our esteemed institution to join us in this exciting and meaningful endeavour.

Positions are available in, but not limited to, the following areas:

l Faculty of Arts and Social Sciences

- Chinese Literature, Journalism and Communication, and English

l Faculty of Business

- Business Administration, Accounting and Banking, and Finance

l Faculty of Science and Engineering

- Artificial Intelligence, Data Science, Smart Construction, Urban Planning, and Architecture

l Ng Teng Fong · Sino Group Belt and Road Research Institute

- International Trade, Cross-cultural Communication, and Regional Studies

Who We Are Looking For:

Excellent Educators: Passionate and dedicated teachers committed to inspiring and shaping the next generation of leaders through innovative learning and teaching practices and student engagement. We are also seeking educators who have solid experience in developing programs that meet the standards and requirements for accreditation by the HKCAAVQ.
Impactful Researchers: Accomplished scholars with a proven track record of research excellence, including high-impact publications in indexed journals and successful acquisition of research grants. We are seeking individuals capable of establishing and leading dynamic research programs that contribute to the advancement of knowledge and elevate our institution’s academic standing.

Additionally, we welcome applications from young, ambitious PhD holders who can demonstrate strong research potential, innovative ideas, and a proactive approach to developing their scholarly careers.

Qualifications and Requirements:

A doctoral degree in a relevant field.
A proven record of, or demonstrable potential for, excellence in learning & teaching and research appropriate to the academic rank (Assistant, Associate, or Full Professor).
A strong commitment to academic leadership, curriculum and program development, and active participation in institutional service.
The successful candidate with relevant experience may be considered for a concurrent appointment as Department Head or senior academic management position, reflecting leadership capabilities and a commitment to advancing the strategic goals of the institution.
Fresh PhD graduate is welcome.