JUNIOR SCIENTIST/ PHD CANDIDATE FOR AI FOR INDUSTRIAL SOC DESIGN (F/M/D)

Silicon Austria Labs GmbH 

Job Overview

JUNIOR SCIENTIST/ PHD CANDIDATE FOR AI FOR INDUSTRIAL SOC DESIGN (F/M/D)

SCIENCE PARK 1, ALTEN­BERGER STRASSE 69, 4040 LINZ, AUSTRI

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 € 40.978 based on the collec­tive agree­ment for re­search („Forschungs-Kollek­tiv­ver­trag“) and depen­ding on your expe­ri­ence and skills.

BECOME PART OF SILICON AUSTRIA LABS

The top research center for electronic based systems (EBS).Unfold the future, unfold yourself.

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