Doctoral Thesis: “large Language Models
vor 5 Monaten
The tasks within the thesis will consist of:
- Usage of LLMs to improve fuzzing on embedded devices
- Guide a fuzzer through the code
- Automatic root cause analysis of low level crashes
- Generate harnesses for fuzzing
- Assess the quality of a fuzzing campaign
- Usage of LLMs to detect insecure code (e.g. by analysis of metadata of commits and repositories)
- Usage of LLMs to implement logical attacks (AEG - automated exploit generation)
The learnings out of the thesis will be/lead to:
- Deep understanding of the use of LLMs in the context of fuzzing tools and improvement use of such tools in the embedded software environment. Realize on selected topics proof of concepts to use the knowledge in real life environment for practical use.
- Theoretical considerations on the automatic generation of exploits using LLMs and statistical analyzes. Practical implementation and verification of the developed solution
A doctoral student is a research enthusiast,
›who enjoys working in an industrial environment in combination with an Infineon partner university.
›who appreciates open communication and the contribution of an international environment.
- Are **eligible for full-time PhD studies **and have a master’s degree in Information Science or Electrical Engineering
- Good to very good grades
- Committed, quick comprehension
- Good IT and software knowledge in the embedded area
- Knowledge and experience of the creation, training and usage of LLMs
- Knowledge and experience with typical embedded programming languages
- Knowledge and experience of embedded microcontroller hardware and software
- Very analytical and systematic behavior
- Good English and German skills
Know-how in following topics is preferable - but not mandatory
- Background in software testing, fuzzing, software KPIs, build chains for CI/CD, static code analyzer, software engineering
- Knowledge in C, Assembler, Java, Python
- Experience in building small devices with microcontrollers
In our headquarters in Neubiberg near Munich, more than 6000 employees are working in research & development, several central functions, IT and many more.
**Driving decarbonization and digitalization. Together.**
**- Connected Secure Systems (CSS) is at the heart of the IoT -**
Click here for more information about working at CSS with interesting employee and management insights and an overview with more #CSSDreamJobs.
**We are on a journey to create the best Infineon for everyone.**
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.
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