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Instructional Assistant - Job Opportunity at Sci-Union Technology

Hong Kong, HK
Contract
Entry-level
Posted: April 17, 2025
On-site
HKD 300,000 - 420,000 per year based on Hong Kong academic market rates for similar positions

Benefits

Annual leave with competitive allocation
Comprehensive medical coverage including dental benefits
University facility access (implied)
Professional development opportunities through academic environment

Key Responsibilities

Lead tutorial and laboratory teaching sessions for MSc Program in Data-Driven Modeling
Develop and prepare course materials integrating current industry practices
Supervise graduate students in research and practical applications
Contribute to teaching methodology development and program enhancement

Requirements

Education

Master's degree or higher in physics, (applied) mathematics, statistics, computer science or data-related subjects

Experience

Not explicitly stated but teaching experience preferred

Required Skills

Modeling Computation Data analysis Machine learning Web scraping
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Sauge AI Market Intelligence

Industry Trends

The integration of data science into physics education represents a growing trend in STEM education, reflecting industry demands for professionals who can bridge theoretical physics with practical data applications Academic institutions are increasingly emphasizing computational and data-driven approaches in traditional science programs, creating new hybrid roles that combine teaching with technical expertise The demand for instructors with both academic and practical data science skills continues to grow as universities adapt their curricula to industry needs

Role Significance

Typically part of a 5-10 person teaching team within the physics department, collaborating with senior faculty and other instructional staff
Junior to mid-level academic position with significant responsibility in shaping student learning experience and program development

Key Projects

Development of integrated physics and data science laboratory exercises Creation of computational modeling tutorials for graduate students Implementation of machine learning applications in physics education Support for student research projects combining physics and data analysis

Success Factors

Strong foundation in both theoretical physics and practical data analysis Ability to effectively communicate complex concepts to graduate students Adaptability to evolving educational technology and methodologies Capacity to bridge traditional physics concepts with modern computational approaches

Market Demand

High demand with growing emphasis on data-driven education in physics departments globally. Position represents intersection of traditional physics education and modern computational methods.

Important Skills

Critical Skills

Data analysis expertise critical for modern physics education Teaching and communication skills essential for effective knowledge transfer Programming and computational modeling capabilities necessary for course development

Beneficial Skills

Experience with educational technology platforms Research publication experience Project management skills International academic experience

Unique Aspects

Rare combination of traditional physics education with modern data science applications
Opportunity to shape emerging field of computational physics education
Position at intersection of academia and practical data science

Career Growth

2-3 years in role typical before advancement, with PhD completion potentially accelerating progression

Potential Next Roles

Senior Instructional Designer Assistant Professor Educational Technology Specialist Data Science Education Coordinator

Company Overview

Sci-Union Technology

Prestigious academic institution in Hong Kong focusing on science and technology education

Leading position in Asia-Pacific region for STEM education and research
Significant influence in Hong Kong and broader Asian academic community
Academic environment emphasizing research excellence and innovative teaching methods, with strong international collaboration opportunities
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