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About this opportunity:

The purpose of this thesis is to explore and identify where AI/ML-based solutions can enhance the Surface Mount Assembly (SMA) production process. The objective is to reduce manual intervention across the process, leveraging AI to create a more automated, intelligent, and cost-effective production environment.

 

What you will do:

Analyze the SMA process to identify key areas where AI/ML can have the most substantial impact, such as component placement, soldering, inspection, and overall process control.

Gather and analyze data from various stages of the production process, including machinery logs, inspection results, and production metrics, to develop machine learning models aimed at optimizing the workflow.

Develop AI/ML models tailored to each critical stage of the SMA process. These models could focus on predictive maintenance, defect detection, process optimization, and real-time decision-making.

Test and validate the performance of the AI/ML models within a simulated or real production environment, assessing how they can reduce manual work, improve efficiency, and increase accuracy across the production line.

Propose strategies for integrating the AI/ML solutions into the existing SMA production framework. This will include addressing potential challenges, such as technical constraints or organizational changes, and providing recommendations on scaling the solution across different production sites.

 

Expected Outcome

Identification of areas across the SMA process where AI/ML can deliver improvementsDevelopment of AI/ML models that optimize different stages of the SMA processDocumentation of the methodology, data sources, and the implementation processRecommendations for scaling and integrating the developed AI/ML solutions within the SMA production environment

The skills you bring:

- Strong background in AI, ML, computer science, or a related field

- Solid programming skills

- Experience with algorithms and data analysis, preferably within industrial or manufacturing contexts

 

Extent: 1 student, 30hp 

Start date: January 2025

Please send your CV in English. 

 

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
 
What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. 

Primary country and city: Sweden (SE) || Stockholm

Req ID: 756579 

Recruiter: Monika Nowicka monika.nowicka@ericsson.com