Working Student - AI-Assisted Optimization of Analog Integrated Circuits (f/m/div)

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Your role

Key responsibilities in your new role

• Literature Study: Review and compare recent AI- and LLM-based approaches for analog circuit sizing, optimization, and design-space exploration
• AI Method Development: Develop LLM-assisted methods for circuit topology understanding, result interpretation, device sizing, and design knowledge extraction
• Circuit Benchmarking: Validate own methods on analog circuit blocks and benchmark accuracy, robustness, and design effort against conventional and other LLM-based optimization methods
• Documentation and Presentation: Document your methods, implementation, benchmark results, and limitations, and present your ideas

Your profile

Qualifications and skills to help you succeed

• Study Field: Studying your master in Electrical or Computer Engineering
• Interests: Basic knowledge and interest in AI-based engineering workflows, especially large language models and agent-based methods for designing automation
• Work experience: Basic experience with analog circuit design, simulation, as well as interpretation of circuit performance results
• Knowledge: Understanding of analog circuit trade-offs, device sizing principles, and design-space exploration. Basic knowledge of numerical optimization methods for circuit optimization
• Skills: Familiarity with Cadence design tools and Python
• Availability: You are interested in a long-term commitment, starting with a working student position and ideally continuing with a master’s thesis
• Language skills: Good English communication skills for documentation and presentation

Please attach the following documents to your application:

• CV in English
• Certificate of enrollment at university
• Latest grades transcript (not older than 6 months)
• High school report

Important information:

• Working part-time: The focus is on studies. That’s why working as a student employee during lecture period is limited to a maximum of 20 hours per week
• Regular students (according to the German law) are welcome: To work as a student employee with us, you must be enrolled at a university and not have completed all of your exams or modules for your degree program. You must not be in a semester of leave. We look forward to welcoming you to our team for at least 6 months
• You should live close to the site: For good collaboration, it is important to us that you can come to the office regularly to integrate to the team

Further links:

• Find out what we are looking for in your CV
• Find out how the student application process works with us
• Discover our student website