Junior Scientist/ PhD Candidate for AI for Industrial SoC Design (f/m/d)

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Junior Scientist/ PhD candidate for AI for Industrial SoC Design (f/m/d)

Science Park 1, Altenberger Straße 69, 4040 Linz, Austria

In the network of science and industry, SAL offers research in the areas of Sensor Systems, RF Systems, Power Electronics, System Integration Technologies and Embedded Systems.
SAL - a great place to research.

Your future responsibilities

Due to the ever increasing complexity of circuits and systems, the design of System on Chips starts at high levels of abstraction. Model-based design is a state-of-the-art design methodology which addresses this development. Here, initial drafts of the design are defined using modeling languages such as UML, SysML, etc. However, already at this stage severe design choices are made which will have a substantial impact, e.g., at the eventual cost of the design. But properly estimating those effects is hard to impossible using conventional methods, which is why those problems are thus far tackled, e.g., by "trial and error", "gut feeling", and "experience of the design engineer". This frequently yields situations where, after months of implementations, design choices turn out to not satisfying the desired objectives---a severe threat for time to market which is crucial in the EDA industry.?
Machine Learning research in the fields of deep learning, few shot learning, meta learning, reinforcement learning, sequence analysis methods like LSTM or Transformer/?BERT should be performed and new methods to provide improved cost estimations should be developed. Onto these estimates, design choices can be based to obtain optimized SoCs, and eventually to automate further steps of the design process. Possible industry partners (providing correspondingly needed data and use cases) are available. Results generated by this project will directly be applied in industrial practice.

Your profile

Technical Skills:

  • Master's degree in computer science, mechatronics, electrical engineering, or similar subject
  • knowledge in circuit and system design, integrated circuits design and verification tools and development flows
  • basic machine learning skills and understanding mandatory; advanced capabilities are a plus

Social Skills:

  • willingness and ability to work in a team
  • solution-orientation
  • persistent researcher
  • well-structured and goal-oriented working style
  • reliability and excellent interpersonal skills
  • hands-on mentality

Personal Skills:

  • English level C1

Important Facts

Beginning of the employment: as early as possible

This position is endowed with a gross annual salary of EUR 40.978 based on the collective agreement for research („Forschungs-Kollektivvertrag") and depending on your experience and skills.

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