Master Thesis - AI-Driven Decompilation for Ericsson Assembly

Ericsson

  • Luleå, Norrbotten
  • Permanent
  • Heltid
  • 2 dagar sedan
Currently pursuing a Master's degree in Embedded Systems, Computer Science or similar Good knowledge of assembly language, CPU architecture, and reverse engineering techniques. Proficiency in AI/ML concepts, especially neural networks and NLP for code translation. Skilled in programming (Python, C/C++) and using ML frameworks like PyTorch or TensorFlow. Experience with tool integration, IDE plugin development is a plus 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. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. learn more. Primary country and city: Sweden (SE) || Lund Req ID: 770714

Ericsson