Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis- Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d)
Honeywell
Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis- Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d)
Job Description
Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis - Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d)
Overview
Honeywell is a Fortune 100 technology company that delivers industry-changing solutions to our world's most critical challenges in aerospace, buildings, performance materials, safety, and productivity. We are seeking motivated Bachelor or Master students in Electrical Engineering, Automation, Computer Science, or Business Engineering for a thesis project in Digital Factory Data Analysis at our international locations. This on-site role offers the opportunity to contribute to cutting-edge Industry 4.0 initiatives, leveraging data analytics to optimize manufacturing processes in smart factories. Join us to gain hands-on experience in a global leader's innovation ecosystem and advance your career in digital transformation.
Key Responsibilities
- Analyze large datasets from industrial sensors, PLCs, and production systems to identify patterns and inefficiencies in factory operations.
- Develop machine learning models and statistical algorithms to predict equipment failures and optimize production workflows.
- Design data pipelines for real-time processing using tools like Apache Kafka and cloud platforms such as AWS or Azure.
- Visualize insights through interactive dashboards with Power BI or Tableau to support decision-making for factory managers.
- Collaborate with cross-functional teams including automation engineers, IT specialists, and production leads to implement data-driven improvements.
- Conduct simulations and validation studies to ensure model accuracy and scalability in real-world manufacturing environments.
- Document findings in a comprehensive thesis, including recommendations for Honeywell's Digital Factory roadmap.
What Makes This Role Exciting
This thesis position immerses you in Honeywell's state-of-the-art Digital Factory environment, where you'll work with advanced IoT technologies, AI-driven analytics, and automation systems shaping the future of manufacturing. Gain practical experience on live production lines, network with industry experts, and contribute to projects that drive sustainability and efficiency. With mentorship from senior data scientists and access to Honeywell's global resources, you'll build a portfolio that stands out in the competitive job market. At Honeywell, your work directly impacts intelligent operations worldwide, offering unparalleled growth in a collaborative, innovative culture.
Locations
- Strotheweg 1, , Lotte, NW, DE 49504
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python or R for data analysis and scriptingintermediate
- Experience with SQL and NoSQL databasesintermediate
- Knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow)intermediate
- Familiarity with Industrial IoT protocols (e.g., OPC UA, MQTT)intermediate
- Data visualization tools like Tableau, Power BI, or Matplotlibintermediate
- Understanding of automation systems (PLC, SCADA)intermediate
- Statistical analysis and modeling techniquesintermediate
- Strong communication skills for technical documentationintermediate
- Analytical mindset with attention to detailintermediate
- Team collaboration in agile environmentsintermediate
Required Qualifications
- Enrollment in Bachelor or Master program in Electrical Engineering, Automation Engineering, Computer Science, Industrial Engineering, or Business Informatics (experience)
- Strong academic record with focus on data analysis, programming, or automation coursework (experience)
- Hands-on experience with data processing tools (e.g., Python, R, SQL) (experience)
- Basic knowledge of manufacturing processes or Industrial IoT (experience)
- Excellent analytical and problem-solving skills (experience)
- Proficiency in German and English (written and spoken) (experience)
Preferred Qualifications
- Master's level enrollment or equivalent advanced studies (experience)
- Internship experience in data analytics, manufacturing, or automation (experience)
- Certifications in Python, Machine Learning (e.g., Coursera), or AWS (experience)
Responsibilities
- Collect and preprocess multi-source data from factory sensors, ERP systems, and automation controllers
- Apply statistical methods and ML algorithms to detect anomalies and forecast production metrics
- Build and deploy scalable data analytics solutions integrated with MES (Manufacturing Execution Systems)
- Perform root cause analysis on production bottlenecks using advanced visualization techniques
- Test and validate models in simulated and live factory environments
- Present results to stakeholders and propose actionable optimizations
- Contribute to Honeywell's digital twin initiatives for predictive maintenance
Benefits
- general: Competitive stipend and thesis support funding
- general: Comprehensive health and wellness benefits
- general: Access to Honeywell University for professional development training
- general: Mentorship from industry-leading experts
- general: Networking opportunities within a global Fortune 100 company
- general: Flexible on-site work environment with modern facilities
Tags & Categories
Answer 10 quick questions to check your fit for Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis- Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d) @ Honeywell.
Related Books and Jobs
Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis- Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d)
Honeywell
Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis- Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d)
Job Description
Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis - Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d)
Overview
Honeywell is a Fortune 100 technology company that delivers industry-changing solutions to our world's most critical challenges in aerospace, buildings, performance materials, safety, and productivity. We are seeking motivated Bachelor or Master students in Electrical Engineering, Automation, Computer Science, or Business Engineering for a thesis project in Digital Factory Data Analysis at our international locations. This on-site role offers the opportunity to contribute to cutting-edge Industry 4.0 initiatives, leveraging data analytics to optimize manufacturing processes in smart factories. Join us to gain hands-on experience in a global leader's innovation ecosystem and advance your career in digital transformation.
Key Responsibilities
- Analyze large datasets from industrial sensors, PLCs, and production systems to identify patterns and inefficiencies in factory operations.
- Develop machine learning models and statistical algorithms to predict equipment failures and optimize production workflows.
- Design data pipelines for real-time processing using tools like Apache Kafka and cloud platforms such as AWS or Azure.
- Visualize insights through interactive dashboards with Power BI or Tableau to support decision-making for factory managers.
- Collaborate with cross-functional teams including automation engineers, IT specialists, and production leads to implement data-driven improvements.
- Conduct simulations and validation studies to ensure model accuracy and scalability in real-world manufacturing environments.
- Document findings in a comprehensive thesis, including recommendations for Honeywell's Digital Factory roadmap.
What Makes This Role Exciting
This thesis position immerses you in Honeywell's state-of-the-art Digital Factory environment, where you'll work with advanced IoT technologies, AI-driven analytics, and automation systems shaping the future of manufacturing. Gain practical experience on live production lines, network with industry experts, and contribute to projects that drive sustainability and efficiency. With mentorship from senior data scientists and access to Honeywell's global resources, you'll build a portfolio that stands out in the competitive job market. At Honeywell, your work directly impacts intelligent operations worldwide, offering unparalleled growth in a collaborative, innovative culture.
Locations
- Strotheweg 1, , Lotte, NW, DE 49504
Salary
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python or R for data analysis and scriptingintermediate
- Experience with SQL and NoSQL databasesintermediate
- Knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow)intermediate
- Familiarity with Industrial IoT protocols (e.g., OPC UA, MQTT)intermediate
- Data visualization tools like Tableau, Power BI, or Matplotlibintermediate
- Understanding of automation systems (PLC, SCADA)intermediate
- Statistical analysis and modeling techniquesintermediate
- Strong communication skills for technical documentationintermediate
- Analytical mindset with attention to detailintermediate
- Team collaboration in agile environmentsintermediate
Required Qualifications
- Enrollment in Bachelor or Master program in Electrical Engineering, Automation Engineering, Computer Science, Industrial Engineering, or Business Informatics (experience)
- Strong academic record with focus on data analysis, programming, or automation coursework (experience)
- Hands-on experience with data processing tools (e.g., Python, R, SQL) (experience)
- Basic knowledge of manufacturing processes or Industrial IoT (experience)
- Excellent analytical and problem-solving skills (experience)
- Proficiency in German and English (written and spoken) (experience)
Preferred Qualifications
- Master's level enrollment or equivalent advanced studies (experience)
- Internship experience in data analytics, manufacturing, or automation (experience)
- Certifications in Python, Machine Learning (e.g., Coursera), or AWS (experience)
Responsibilities
- Collect and preprocess multi-source data from factory sensors, ERP systems, and automation controllers
- Apply statistical methods and ML algorithms to detect anomalies and forecast production metrics
- Build and deploy scalable data analytics solutions integrated with MES (Manufacturing Execution Systems)
- Perform root cause analysis on production bottlenecks using advanced visualization techniques
- Test and validate models in simulated and live factory environments
- Present results to stakeholders and propose actionable optimizations
- Contribute to Honeywell's digital twin initiatives for predictive maintenance
Benefits
- general: Competitive stipend and thesis support funding
- general: Comprehensive health and wellness benefits
- general: Access to Honeywell University for professional development training
- general: Mentorship from industry-leading experts
- general: Networking opportunities within a global Fortune 100 company
- general: Flexible on-site work environment with modern facilities
Tags & Categories
Answer 10 quick questions to check your fit for Bachelor- / Masterarbeit im Bereich Digital Factory Data Analysis- Elektrotechnik, Automatisierung, Informatik & Wirtschaft (m/w/d) @ Honeywell.
Related Books and Jobs