FAQs
What is the focus of the doctoral thesis offered at Infineon?
The focus of the doctoral thesis is on the development of trustworthy AI algorithms for Large Language Models (LLM), embodied multi-modal LLM, and Generative AI-based applications, with an emphasis on accuracy, robustness, fairness, transparency, explainability, cybersecurity, and human oversight.
What qualifications are required to apply for this position?
Candidates should have a master's degree in Computer Science, Electrical Engineering, Mathematics, or a related field with very good grades, and they must be eligible for full-time PhD studies.
What practical experience is preferred for applicants?
Applicants should have practical experience in machine learning, particularly in deep learning methods and generative AI.
Which deep learning frameworks should candidates be familiar with?
Candidates should have experience with deep learning frameworks such as TensorFlow or PyTorch.
What kind of collaboration is involved in this doctoral program?
The doctoral program involves collaboration with the University of Magdeburg and supervision by Professor Fabian Lurz.
What types of applications will this research focus on?
The research will focus on microphone-based applications, sensor fusion platforms, and perception for service robots.
Will candidates need to understand signal processing techniques?
Yes, a solid understanding of signal processing techniques is required for this position.
What are the language requirements for this job?
Candidates should possess very good language skills in English, and ideally also in German.
Does the company value diversity and inclusion?
Yes, Infineon embraces diversity and inclusion, welcoming everyone for who they are and providing equal opportunities.
How can candidates reach out for more information about the position?
Candidates can contact Sophia Dechant for more information regarding the position.