DRÄXLMAIER Tunisia PFE Book EL JEM SATE
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Dear Future Innovators,
Looking for a challenging and rewarding end-of-studies internship?
Join DRÄXLMAIER Tunisia, EL JEM Plant, and turn your ideas into reality through impactful projects in a dynamic industrial environment.
Discover our internship topics and apply for the project that inspires you most
Project Number
Project Name
Description
Tasks
Profile
Required Skills
Number of Interns
Duration
01
Smart Digital Polyvalence Management System
This project aims to develop a Smart Digital Polyvalence Management System to enhance workforce flexibility through real-time skill monitoring, gap analysis, and competency management, supporting Lean manufacturing, Industry 4.0, and continuous improvement.
• Analyze current polyvalence process and competence matrix.
• Map employee skills and qualifications.
• Identify competency gaps and flexibility risks.
• Develop a digital polyvalence matrix and KPI dashboards.
• Implement and validate cross-training and competence improvement actions. Final-year student in Industrial Engineering with Lean Manufacturing focus, Master DATA Python for data analytics Microsoft Power Apps / Power Automate Lean Manufacturing & Continuous Improvement 1 4-6 Months 02 Smart Foaming Excellence Program The project aims to improve the automotive wiring harness foaming process by increasing machine reliability, stabilizing production, reducing quality defects and material waste, and improving Overall Equipment Effectiveness (OEE) through process optimization, digital monitoring, predictive maintenance, and data-driven decision-making.
• Analyze process performance and identify major losses.
• Optimize machine settings and material consumption.
• Implement real-time monitoring and predictive maintenance.
• Reduce breakdowns and defects through root cause analysis and training.
• Track KPIs and sustain continuous improvement. Final-year student in Industrial, Mechanical, Electrical, or Mechatronics Engineering Microsoft Power Apps / Power Automate Machine parameters, process optimization Lean Manufacturing & Continuous Improvement 1 4-6 Months 03 Plant Digital Strategic Workforce Planning Develop a centralized digital workforce planning tool that automates personnel forecasting, KPI tracking, and scenario analysis, enabling data-driven workforce decisions, improved plant efficiency, and enhanced operational excellence.
• Analyze the current personnel planning process and identify improvement opportunities.
• Define workforce KPIs, functional requirements, and the future data model.
• Develop a digital workforce planning tool with headcount management and automated calculations.
• Create dashboards, reports, and validate data accuracy through real-world testing.
• Optimize and standardize the solution based on user feedback and best practices. Final-year student in IT Python Power Apps and Data Analytics 1 4-6 Months 04 Digital CIP Academy :Empowering People via Knowledge & Practices The Digital CIP Academy is a centralized platform for CIP learning, knowledge sharing, and best practices, designed to develop employee skills, support continuous improvement, and drive operational excellence.
• Assess current CIP training practices and identify organizational learning needs.
• Define the academy structure, learning paths, and develop the digital platform with integrated training content and CIP tools.
• Implement user management, learning tracking, assessment features, and knowledge-sharing capabilities.
• Pilot, evaluate, and optimize the platform based on user feedback, then establish governance and a deployment roadmap. Final-year student in IT and multimedia Web application developpment,IA ,Canva, Audio and video editing, multimedia content creation,Creativity 1 4-6 Months 05 Automation of Mixing Head Positioning and Foaming Dosing by KSK Code Scanning This project automates the foaming process by scanning KSK codes to automatically select dosing recipes, position equipment, and execute foam injection. The solution improves process reliability, product quality, efficiency, traceability, and reduces manual intervention and operator errors.
• Analyze the foaming process and define the automation architecture.
• Develop KSK code identification and automatic recipe management.
• Integrate robot positioning, mixing head movements, and dosing sequences.
• Implement HMI, traceability, alarms, and process validation functions.
• Perform system testing, validation, training, and project handover. Final-year student in Mechatronics Industrial Automation, PLC Programming, Control Systems, Robotics, and Process Automation 1 4-6 Months 06 Smart Contractor Safety Management System Develop a Smart Contractor Safety Management System to digitalize compliance, permits, and safety monitoring, improving contractor management, safety performance, and operational efficiency.
• Analyze contractor management processes and compliance requirements.
• Develop a digital contractor qualification and competency management system.
• Automate safety induction, permit-to-work, and access control workflows. Implement inspections, incident reporting, performance scorecards, and real-time dashboards.
• Deploy QR-code tracking, risk analysis, and continuous improvement processes Final-year student in IOT,IT,Data Administatin Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 07 Driving Technical Change Across the Production Line This project aims to develop a centralized PowerApps application that facilitates the planning, tracking, and validation of all tasks related to technical changes on the shopfloor. This digital solution will serve as a collaborative platform for all departments involved in change implementation, ensuring transparency, accountability, and timely execution.
• Identify all departments involved and group tasks by department and project.
• Develop a PowerApps interface for task assignment, filtering, and status tracking.
• Integrate automated notifications and reminders for upcoming task deadlines.
• Monitor task completion, validation compliance, timelines, and user feedback.
• Improve the application based on feedback, train users, and standardize processes across departments. Final-year student in Computer science, information system, software engineering or industrial engineering Microsoft power apps,Power automate,Microsoft Excel,Sharepoint, Dataverse,willingness to learn,analatycal thinking. 1 4-6 Months 08 Digital Management Control Plan (PLP) Project The Digital Management Control Plan (PLP) aims to digitalize and automate management control processes, improving performance visibility, reporting efficiency, action plan tracking, and data accuracy.
• Analyze the current production staff management system
• Review and evaluate the existing display application
• Define data requirements and system inputs
• Design and develop the requested application
• Test the application through real-time simulations
• Refine the application according to simulation outcomes and user feedback Final-year student in IOT,IT,Data Administatin. Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 09 Design and Development of a Poka-Yoke System to Prevent Mixed Wires This project aims to develop a Poka-Yoke solution to prevent wire mix-ups during the feeding process by ensuring reliable wire identification through technologies such as RFID, barcode/QR code scanning, or sensors. The solution will improve quality, traceability, and process reliability while reducing human error.
• Analysis of the Existing Process
• Risk Analysis and Requirements Definition
• Benchmarking and Evaluation of Potential Solutions
• System Architecture and Design
• Prototype Development
• Testing and Technical Validation
• Performance Evaluation and Traceability
• Economic Evaluation and Deployment Roadmap Final-year student in Engineering Degree: Electromechanical Engineering / Electrical Engineering / Automation Engineering / Industrial Maintenance Engineering or Industrial Engineering. Industrial Engineering & Process Analysis -Basic Electronics & Sensors-Automation-Programming Skills-Problem-Solving & Analytical Thinking -Interest in Industry 4.0 & Smart Manufacturing) 1 4-6 Months 10 Deployment of a Combi Line within MR Caddy Implementation of a Combi Line concept in the MR Caddy production area to achieve greater flexibility, and better use of available production capacity and space.
• Collect and analyze production data (cycle time, manpower, layout, material flow).
• Design the Combi board concept and future-state layout.
• Implement the Combi Line and reorganize workstations and material flow.
• Conduct pilot runs and monitor production performance.
• Update process documentation and establish a continuous improvement plan. Final-year student inIndustrial Engineering Lean Manufacturing (5S, Kaizen, VSM, Line Balancing) Production Flow Optimization Ergonomics & Workstation Design 1 4-6 Months 11 AI-Driven Defect Analytics Platform for Quality Assurance Develop an Intelligent Quality Analytics Platform that transforms defect data into actionable insights using AI, automated reporting, and advanced analytics. The solution will monitor defect trends, detect recurring issues, evaluate corrective actions, and support predictive, data-driven quality management.
• Collect and centralize quality defect data.
• Develop the quality analytics platform and database.
• Implement dashboards, Pareto analysis, and defect trend monitoring.
• Integrate AI-based risk detection and smart quality alerts.
• Evaluate corrective actions, validate, and continuously improve the solution. Final-year student in IT,Industrual Engineering Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 12 Integrated Risk Matrix Platform (IRMP) for Project Knowledge Management Develop a centralized B-Teils risk database to consolidate project risks, evaluations, and lessons learned, improving risk management, knowledge sharing, and decision-making.
• Collect and standardize Risk Matrix data from all projects.
• Design and develop a centralized risk management database.
• Implement search, filtering, reporting, and dashboard functionalities.
• Validate data quality and train users on database usage.
• Establish update procedures and continuous improvement processes. Final-year student in IT,Industrual Engineering Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 13 AI-Driven Production Planning and Sequencing Application Develop a smart application that uses Artificial Intelligence to generate optimized production lines schedules. The application will automatically create the best production plan, forecast production plans for the following 3 weeks, and simulate alternative planning scenarios in case of supply disruptions.
• Analyze the current planning process and constraints.
• Collect and integrate forecast, production planning, and modules data.
• Develop the AI-based application and optimization model.
• Generate optimized schedules and alternative planning scenarios.
• Test, validate, and deploy the solution.. Final-year student in IA Engineering AI-based application developpment,Paython,Analatycal thinking,Data analysis 1 4-6 Months 14 Digital Visitor Management Develop a Digital Visitor Management System to automate visitor registration, tracking, and access management, improving security, operational efficiency, compliance, and real-time visibility of visitor activities.
• Clearly understand the project goals and identify the needs
• Develop data collection methods that are relevant.
• Analyze requirements and design the system architecture using Power Apps and related technologies.
• Develop, implement, and test the Digital Visitor Management System.
• Monitor system performance and ensure continuous control and improvement. Final-year student in IT Network,Java,Paython 1 4-6 Months 15 Management Control System Developing and implementing a Visual Management System to provide a centralized real-time monitoring platform that enables IT Operations teams to visualize, supervise, and manage all production PCs through a single intuitive interface.
• Clearly understand the project goals and identify the needs
• Develop data collection methods that are relevant.
• Analyze requirements and design the system architecture using Power Apps and related technologies.
• Develop, implement, and test the Digital Visitor Management System.
• Monitor system performance and ensure continuous control and improvement. Final-year student in IT Network,Java,Paython 1 4-6 Months 16 Employee Management System The Employee Management System project aims to centralize workforce data into a real-time dashboard, providing visibility on attendance, skills, workstation allocation, and workforce availability to support proactive decision-making and operational excellence.
• Monitor attendance, absenteeism, workforce availability, and shift coverage.
• Track operator allocation, staffing coverage, and workstation occupancy.
• Manage skills, polyvalence, competency gaps, and critical position coverage.
• Monitor operational KPIs through real-time dashboards and alerts.
• Generate workforce reports, trend analysis, and staffing insights for decision-making. Final-year student in Industrial Engineering Advanced Excel and Power BI, Data Analysis & Dashboard Development Power Apps & Power Automate 1 4-6 Months 17 AI Unified Response Assistant This project aims to improve the reliability of critical production test stations by providing real-time failure monitoring and diagnostic support. The solution will reduce downtime, accelerate troubleshooting, improve production continuity, and lower maintenance costs through faster and more effective issue resolution.
• Develop a web platform for real-time PTS monitoring, Digital Andon, and automatic ticketing.
• Integrate AI-based failure classification and predictive maintenance capabilities.
• Implement AI troubleshooting tools and a maintenance Copilot assistant.
• Create KPI dashboards, analytics, and technical documentation. Final-year student in Mechatronics Engineering or Automation Engineering IT; Python Programming Analytical Thinking & Problem Solving 2 4-6 Months 18 Foaming Eye Vision: IoT-Based Foaming Machine Performance Tracking System Develop a digital production monitoring application that automatically collects and displays foaming machine data, providing real-time visibility of machine performance, production output, downtime, OEE, scrap rates, and operator efficiency. The solution will improve traceability, productivity analysis, and decision-making.
• Machine Monitoring
• Production Output Tracking
• Downtime Management
• Mold Occupation Rate
• OEE Calculation
• Dashboard and Reporting
• Alerts and Notifications IT; Python Programming Analytical Thinking & Problem Solving 2 4-6 Months IT; Python Programming Analytical Thinking & Problem Solving 19 Digitization of the training program Qualification tests This project aims to drive a digital transformation of the training program by converting traditional PowerPoint-based content into an engaging and interactive digital learning experience. The program will integrate visual storytelling, animations, and interactive features, ensuring the content is both informative and stimulating.
• Define leaner needs, set objectives, design modules, select tools and platforms
• Develop digital content (videos, quizzes, simulations), configure the platform, run pilots
• Gather feedback, measure effectiveness, assess learning outcomes.
• Refine content, standardize best practices, scale and improve continuously. Master's degree/Engineering Degree: Telecommunication or IT filed Good English level, good programming and video editing skills 2 4-6 Months Note: Please ensure that you provide us with English Cv, otherwise your application will not be taken into consideration and make sure you applied for only one PFE subject and indicate the chosen one(Project Number) in your application. Apply Now Company / Legal Entity: SATE Système Automobile et Technique d'El Jem
• Analyze current polyvalence process and competence matrix.
• Map employee skills and qualifications.
• Identify competency gaps and flexibility risks.
• Develop a digital polyvalence matrix and KPI dashboards.
• Implement and validate cross-training and competence improvement actions. Final-year student in Industrial Engineering with Lean Manufacturing focus, Master DATA Python for data analytics Microsoft Power Apps / Power Automate Lean Manufacturing & Continuous Improvement 1 4-6 Months 02 Smart Foaming Excellence Program The project aims to improve the automotive wiring harness foaming process by increasing machine reliability, stabilizing production, reducing quality defects and material waste, and improving Overall Equipment Effectiveness (OEE) through process optimization, digital monitoring, predictive maintenance, and data-driven decision-making.
• Analyze process performance and identify major losses.
• Optimize machine settings and material consumption.
• Implement real-time monitoring and predictive maintenance.
• Reduce breakdowns and defects through root cause analysis and training.
• Track KPIs and sustain continuous improvement. Final-year student in Industrial, Mechanical, Electrical, or Mechatronics Engineering Microsoft Power Apps / Power Automate Machine parameters, process optimization Lean Manufacturing & Continuous Improvement 1 4-6 Months 03 Plant Digital Strategic Workforce Planning Develop a centralized digital workforce planning tool that automates personnel forecasting, KPI tracking, and scenario analysis, enabling data-driven workforce decisions, improved plant efficiency, and enhanced operational excellence.
• Analyze the current personnel planning process and identify improvement opportunities.
• Define workforce KPIs, functional requirements, and the future data model.
• Develop a digital workforce planning tool with headcount management and automated calculations.
• Create dashboards, reports, and validate data accuracy through real-world testing.
• Optimize and standardize the solution based on user feedback and best practices. Final-year student in IT Python Power Apps and Data Analytics 1 4-6 Months 04 Digital CIP Academy :Empowering People via Knowledge & Practices The Digital CIP Academy is a centralized platform for CIP learning, knowledge sharing, and best practices, designed to develop employee skills, support continuous improvement, and drive operational excellence.
• Assess current CIP training practices and identify organizational learning needs.
• Define the academy structure, learning paths, and develop the digital platform with integrated training content and CIP tools.
• Implement user management, learning tracking, assessment features, and knowledge-sharing capabilities.
• Pilot, evaluate, and optimize the platform based on user feedback, then establish governance and a deployment roadmap. Final-year student in IT and multimedia Web application developpment,IA ,Canva, Audio and video editing, multimedia content creation,Creativity 1 4-6 Months 05 Automation of Mixing Head Positioning and Foaming Dosing by KSK Code Scanning This project automates the foaming process by scanning KSK codes to automatically select dosing recipes, position equipment, and execute foam injection. The solution improves process reliability, product quality, efficiency, traceability, and reduces manual intervention and operator errors.
• Analyze the foaming process and define the automation architecture.
• Develop KSK code identification and automatic recipe management.
• Integrate robot positioning, mixing head movements, and dosing sequences.
• Implement HMI, traceability, alarms, and process validation functions.
• Perform system testing, validation, training, and project handover. Final-year student in Mechatronics Industrial Automation, PLC Programming, Control Systems, Robotics, and Process Automation 1 4-6 Months 06 Smart Contractor Safety Management System Develop a Smart Contractor Safety Management System to digitalize compliance, permits, and safety monitoring, improving contractor management, safety performance, and operational efficiency.
• Analyze contractor management processes and compliance requirements.
• Develop a digital contractor qualification and competency management system.
• Automate safety induction, permit-to-work, and access control workflows. Implement inspections, incident reporting, performance scorecards, and real-time dashboards.
• Deploy QR-code tracking, risk analysis, and continuous improvement processes Final-year student in IOT,IT,Data Administatin Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 07 Driving Technical Change Across the Production Line This project aims to develop a centralized PowerApps application that facilitates the planning, tracking, and validation of all tasks related to technical changes on the shopfloor. This digital solution will serve as a collaborative platform for all departments involved in change implementation, ensuring transparency, accountability, and timely execution.
• Identify all departments involved and group tasks by department and project.
• Develop a PowerApps interface for task assignment, filtering, and status tracking.
• Integrate automated notifications and reminders for upcoming task deadlines.
• Monitor task completion, validation compliance, timelines, and user feedback.
• Improve the application based on feedback, train users, and standardize processes across departments. Final-year student in Computer science, information system, software engineering or industrial engineering Microsoft power apps,Power automate,Microsoft Excel,Sharepoint, Dataverse,willingness to learn,analatycal thinking. 1 4-6 Months 08 Digital Management Control Plan (PLP) Project The Digital Management Control Plan (PLP) aims to digitalize and automate management control processes, improving performance visibility, reporting efficiency, action plan tracking, and data accuracy.
• Analyze the current production staff management system
• Review and evaluate the existing display application
• Define data requirements and system inputs
• Design and develop the requested application
• Test the application through real-time simulations
• Refine the application according to simulation outcomes and user feedback Final-year student in IOT,IT,Data Administatin. Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 09 Design and Development of a Poka-Yoke System to Prevent Mixed Wires This project aims to develop a Poka-Yoke solution to prevent wire mix-ups during the feeding process by ensuring reliable wire identification through technologies such as RFID, barcode/QR code scanning, or sensors. The solution will improve quality, traceability, and process reliability while reducing human error.
• Analysis of the Existing Process
• Risk Analysis and Requirements Definition
• Benchmarking and Evaluation of Potential Solutions
• System Architecture and Design
• Prototype Development
• Testing and Technical Validation
• Performance Evaluation and Traceability
• Economic Evaluation and Deployment Roadmap Final-year student in Engineering Degree: Electromechanical Engineering / Electrical Engineering / Automation Engineering / Industrial Maintenance Engineering or Industrial Engineering. Industrial Engineering & Process Analysis -Basic Electronics & Sensors-Automation-Programming Skills-Problem-Solving & Analytical Thinking -Interest in Industry 4.0 & Smart Manufacturing) 1 4-6 Months 10 Deployment of a Combi Line within MR Caddy Implementation of a Combi Line concept in the MR Caddy production area to achieve greater flexibility, and better use of available production capacity and space.
• Collect and analyze production data (cycle time, manpower, layout, material flow).
• Design the Combi board concept and future-state layout.
• Implement the Combi Line and reorganize workstations and material flow.
• Conduct pilot runs and monitor production performance.
• Update process documentation and establish a continuous improvement plan. Final-year student inIndustrial Engineering Lean Manufacturing (5S, Kaizen, VSM, Line Balancing) Production Flow Optimization Ergonomics & Workstation Design 1 4-6 Months 11 AI-Driven Defect Analytics Platform for Quality Assurance Develop an Intelligent Quality Analytics Platform that transforms defect data into actionable insights using AI, automated reporting, and advanced analytics. The solution will monitor defect trends, detect recurring issues, evaluate corrective actions, and support predictive, data-driven quality management.
• Collect and centralize quality defect data.
• Develop the quality analytics platform and database.
• Implement dashboards, Pareto analysis, and defect trend monitoring.
• Integrate AI-based risk detection and smart quality alerts.
• Evaluate corrective actions, validate, and continuously improve the solution. Final-year student in IT,Industrual Engineering Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 12 Integrated Risk Matrix Platform (IRMP) for Project Knowledge Management Develop a centralized B-Teils risk database to consolidate project risks, evaluations, and lessons learned, improving risk management, knowledge sharing, and decision-making.
• Collect and standardize Risk Matrix data from all projects.
• Design and develop a centralized risk management database.
• Implement search, filtering, reporting, and dashboard functionalities.
• Validate data quality and train users on database usage.
• Establish update procedures and continuous improvement processes. Final-year student in IT,Industrual Engineering Python Microsoft Power Apps Power Automate Power BI SharePoint / Dataverse Excel & Power Query 1 4-6 Months 13 AI-Driven Production Planning and Sequencing Application Develop a smart application that uses Artificial Intelligence to generate optimized production lines schedules. The application will automatically create the best production plan, forecast production plans for the following 3 weeks, and simulate alternative planning scenarios in case of supply disruptions.
• Analyze the current planning process and constraints.
• Collect and integrate forecast, production planning, and modules data.
• Develop the AI-based application and optimization model.
• Generate optimized schedules and alternative planning scenarios.
• Test, validate, and deploy the solution.. Final-year student in IA Engineering AI-based application developpment,Paython,Analatycal thinking,Data analysis 1 4-6 Months 14 Digital Visitor Management Develop a Digital Visitor Management System to automate visitor registration, tracking, and access management, improving security, operational efficiency, compliance, and real-time visibility of visitor activities.
• Clearly understand the project goals and identify the needs
• Develop data collection methods that are relevant.
• Analyze requirements and design the system architecture using Power Apps and related technologies.
• Develop, implement, and test the Digital Visitor Management System.
• Monitor system performance and ensure continuous control and improvement. Final-year student in IT Network,Java,Paython 1 4-6 Months 15 Management Control System Developing and implementing a Visual Management System to provide a centralized real-time monitoring platform that enables IT Operations teams to visualize, supervise, and manage all production PCs through a single intuitive interface.
• Clearly understand the project goals and identify the needs
• Develop data collection methods that are relevant.
• Analyze requirements and design the system architecture using Power Apps and related technologies.
• Develop, implement, and test the Digital Visitor Management System.
• Monitor system performance and ensure continuous control and improvement. Final-year student in IT Network,Java,Paython 1 4-6 Months 16 Employee Management System The Employee Management System project aims to centralize workforce data into a real-time dashboard, providing visibility on attendance, skills, workstation allocation, and workforce availability to support proactive decision-making and operational excellence.
• Monitor attendance, absenteeism, workforce availability, and shift coverage.
• Track operator allocation, staffing coverage, and workstation occupancy.
• Manage skills, polyvalence, competency gaps, and critical position coverage.
• Monitor operational KPIs through real-time dashboards and alerts.
• Generate workforce reports, trend analysis, and staffing insights for decision-making. Final-year student in Industrial Engineering Advanced Excel and Power BI, Data Analysis & Dashboard Development Power Apps & Power Automate 1 4-6 Months 17 AI Unified Response Assistant This project aims to improve the reliability of critical production test stations by providing real-time failure monitoring and diagnostic support. The solution will reduce downtime, accelerate troubleshooting, improve production continuity, and lower maintenance costs through faster and more effective issue resolution.
• Develop a web platform for real-time PTS monitoring, Digital Andon, and automatic ticketing.
• Integrate AI-based failure classification and predictive maintenance capabilities.
• Implement AI troubleshooting tools and a maintenance Copilot assistant.
• Create KPI dashboards, analytics, and technical documentation. Final-year student in Mechatronics Engineering or Automation Engineering IT; Python Programming Analytical Thinking & Problem Solving 2 4-6 Months 18 Foaming Eye Vision: IoT-Based Foaming Machine Performance Tracking System Develop a digital production monitoring application that automatically collects and displays foaming machine data, providing real-time visibility of machine performance, production output, downtime, OEE, scrap rates, and operator efficiency. The solution will improve traceability, productivity analysis, and decision-making.
• Machine Monitoring
• Production Output Tracking
• Downtime Management
• Mold Occupation Rate
• OEE Calculation
• Dashboard and Reporting
• Alerts and Notifications IT; Python Programming Analytical Thinking & Problem Solving 2 4-6 Months IT; Python Programming Analytical Thinking & Problem Solving 19 Digitization of the training program Qualification tests This project aims to drive a digital transformation of the training program by converting traditional PowerPoint-based content into an engaging and interactive digital learning experience. The program will integrate visual storytelling, animations, and interactive features, ensuring the content is both informative and stimulating.
• Define leaner needs, set objectives, design modules, select tools and platforms
• Develop digital content (videos, quizzes, simulations), configure the platform, run pilots
• Gather feedback, measure effectiveness, assess learning outcomes.
• Refine content, standardize best practices, scale and improve continuously. Master's degree/Engineering Degree: Telecommunication or IT filed Good English level, good programming and video editing skills 2 4-6 Months Note: Please ensure that you provide us with English Cv, otherwise your application will not be taken into consideration and make sure you applied for only one PFE subject and indicate the chosen one(Project Number) in your application. Apply Now Company / Legal Entity: SATE Système Automobile et Technique d'El Jem