Job Description
GF Trainees and Interns
Singapore, Singapore

Sense the power of light

ams OSRAM is a global leader in innovative light and sensor solutions. “Sense the power of light” – our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

Your new responsibilities

Internship: 4 May 2026 - 9 April 2027

As a Digital Twin specialist intern, you will work closely with Industry Engineering, IT, Capacity Planning, Production, Automation, and Maintenance departments to:
Develop analytic and real-time Digital Twin Simulation Models and apply Data Engineering, Data Analysis, and AI for Smart Factory implementation to:
• Mirror and predict multi/mixed products output performance and identify bottlenecks for improvement
• Predict and optimize resources needed for cost savings and decision-making for capital investment and return on investment 
• Analyze and improve operator and technician utilization to reduce cost
• Analyze and improve machine utilization to reduce capital investment 
• Analyze and improve production cycle time


Who we are looking for


• Undergraduates of Bachelor's Degree in Engineering, Digital Supply Chain, Software Engineering, Applied AI and/or Computer Science with specialization in Simulation and Root Cause Analysis/Machine Learning & Predictive Analytics,  Data Engineering, Data Analytics, Robotics and/or Automation
• Proficiency in Flexsim, SQL, Python, Excel, Statistics Data Engineering and/or Data Analytics
• Good knowledge of Oracle DB and Power BI
• Good understanding of the relationship between technology and business
• Experience in Flexsim Simulation, Data Engineering and Data Analytics
• Knowledge in robotics and automation, industry engineering, Lean Six Sigma
• Exposure to the field of manufacturing, Semiconductor preferred
• Basic Knowledge on AI/Machine Learning

Must Have:
• Undergraduate of Engineering, Digital Supply Chain, Software Engineering, Applied AI and/or Computer Science with specialization in Simulation, Data Engineering, Data Analytics, Robotics and/or Automation
• Proficiency in Flexsim, SQL, Python, Excel, Oracle DB
• Good Statistical, Data Engineering and Data Analytics knowledge is preferred
• Sensitive to data integrity and understand the importance of data quality to generate accurate data analysis
• Able to create simulation model and dashboard
• Able to coordinate the entire workflow from concept to full implementation
• Able to display a structural thought process in analytics, modeling and scenario studies
• Exposure to industry 4.0 technology/IIoT, AI etc
Nice to have:
• Ability to drive operation metrics data accuracy and improvement. 
• Knowledge of Lean, Six Sigma and/or statistical analysis tools 
• Exposure in Manufacturing Industries
• Basic knowledge on AI/Machine learning 
• 3D model drawing

Personal qualities:
• Possess good logical thinking, uses reasoning skills to objectively study problems, make rational conclusions on how to proceed to the next step
• Good analytical skills with the ability to break down and solve complex problems  
• Patient and able to work independently with adequate supervision
• Passion for technology and innovation
• Fast learner to pick up new knowledge


Please contact Wei-Ping Jou for further information via wei-ping.jou@ams-osram.com or +65 () 62402477.

ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
Information at a Glance
Job ID:  21792
Posting Start Date:  9/23/25
Job Family:  General Functions
Career Level:  Student
Company:  ams-OSRAM Asia Pacific Pte. Ltd.
Schedules:  Full Time
Work Model:  On-Site
Job Shift:  Fixed working hours
Employment Type:  Temporary
Department:  CSA Industrial Engineering

Application deadline: As long as the job is listed on our career page, we are looking for suitable candidates. We look forward to receiving your application.