
Master thesis: RF filters/antennas AI-assisted Design
Ericsson ABNy
Sammanfattning
Ericsson is offering a master's thesis opportunity focused on AI-assisted RF and microwave filter-antenna design in Kumla, Sweden. The role involves developing methodologies for designing RF filters and antennas using electromagnetic simulation tools and AI. Candidates will document their findings in a thesis report and present their work to engineering teams.Det här erbjuder vi
Opportunity to work on innovative solutionsCollaborative environment with diverse innovatorsEncouragement of diverse and inclusive workplace
Ansök senast: Öppet tillsvidare
Publicerad: 2026-09-29
Beskrivning
Join our Team
About this opportunity:
Join Ericsson for a master's thesis on AI-assisted RF and microwave filter-antenna design. You will develop, evaluate, and validate methodologies for designing RF filters/antennas, leveraging electromagnetic simulation tools and AI.
What you will do:
The skills you bring:
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) || Kumla
Req ID: 790832
About this opportunity:
Join Ericsson for a master's thesis on AI-assisted RF and microwave filter-antenna design. You will develop, evaluate, and validate methodologies for designing RF filters/antennas, leveraging electromagnetic simulation tools and AI.
What you will do:
- Study the requirements and design challenges associated with RF and microwave filters and antennas
- Use electronic CAD tools
- Perform detailed design and performance evaluation on the manufactured board(s)
- Document your methodology, results and conclusions in a master's thesis report
- Present your work to Ericsson's engineering teams
The skills you bring:
- You are an MSc student in electrical engineering, engineering physics, computer science or a related field
- Some previous experience with at least one of ADS, HFSS, AWR/Microwave Office
- Familiarity with electronic CAD tools, such as Cadence or KiCad
- You have completed one or more courses in Antenna/Microwave/RF design, technology and/or theory
- You are analytical, curious and interested in combining RF and microwave engineering
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) || Kumla
Req ID: 790832
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Master thesis: RF filters/antennas AI-assisted Design
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