Master Thesis: Continual Learning for Positioning with ISAC Observations
publicerat av Ericsson
- Företag
- Ericsson
- Ort
- Stockholm
- Sista ansökningsdag
- Ej angiven
- Nivå
- Master/civilingenjör (30 hp)
- Passar program
- Computer Science, Electrical Engineering, Machine Learning, Communication Engineering
Beskrivning
This master's thesis at Ericsson focuses on continual learning for positioning using Integrated Sensing and Communication (ISAC) observations. The advertised research environment combines theoretical work and simulations with the development of tools and prototypes. The description does not specify a detailed thesis objective or methodology.
The assignment
- Carry out research through theoretical analysis and computer simulations.
- Explore opportunities for new intellectual property.
- Develop tools, demonstrations and testbeds with efficient, reusable code.
- Contribute to research partnerships, standardization activities and internal knowledge sharing.
Who we are looking for
- Strong analytical skills.
- Programming ability.
- Ability to collaborate across disciplines.
What we offer
- An opportunity to explore emerging technology and challenging research problems.
- Collaboration with a team of innovators developing new technical solutions.
Practical details
Location: Stockholm. Reference number: 793066. Start date, duration, number of students and application deadline are not specified.
Förkunskapskrav
Analytical ability, programming skills and the ability to work across disciplines are requested. No specific degree programme or programming language is stated.
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