Master thesis AI-Based Anomaly Detection for Production Verification
Manufacturing & Production · Production & Assembly · Manufacturing Engineering
In short
This Master's thesis project focuses on applying AI and anomaly detection techniques to production verification data in a manufacturing setting. The student will analyze data, identify patterns, compare detection methods, and develop a proof of concept to improve quality assurance and decision-making.
Responsibilities
- Analyze production verification data from an industrial use case.
- Identify characteristic patterns of normal system behavior.
- Evaluate and compare different anomaly-detection approaches.
- Develop methods for visualizing and interpreting detected deviations.
- Assess detection performance, false rejections, traceability, and practical applicability in a production environment.
- Deliver a proof of concept or methodology, with recommendations for future implementation and development.
Requirements
- Currently pursuing a Master's degree in Data Science, Computer Engineering, Industrial Engineering, Applied Mathematics, or another relevant engineering discipline.
- Strong interest in data analytics and machine learning.
- Strong interest in artificial intelligence and anomaly detection.
- Strong interest in manufacturing systems and industrial applications.
- Strong interest in problem-solving and analytical thinking.
- English language proficiency is mandatory.
Desired Qualifications
- Experience within manufacturing or production environments is considered an advantage.
- Swedish language is a plus.
Benefits
- Hands-on experience applying AI and advanced analytics to real manufacturing challenges.
- Exposure to production verification, quality assurance, and digital manufacturing.
- Opportunities to collaborate with experts in manufacturing, data analytics, and engineering.
- Experience developing solutions with direct industrial relevance and business impact.
- Valuable insights into how AI can support the future of smart factories.
Skills
Data ScienceMachine LearningArtificial IntelligenceAnomaly DetectionData Analytics
#AI#Smart Manufacturing#Anomaly Detection#Production Verification#Data Science#Computer Engineering#Industrial Engineering#Applied Mathematics#Quality Assurance#Digital Manufacturing
About Volvo Group
The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.\n\n
Company
Volvo GroupJob Posted
3 weeks ago
Expires
in 3 weeks
Employment Type
Temporary
Work mode
On Site
Experience Level
Student
Locations
Skövde, Sweden
Qualification
Master
Applicants
Be an early applicant
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