Junior AI Scientist - Embedded Systems & Trustworthy ML

Silicon Austria Labs GmbH

Graz

Vor Ort

EUR 41.000 - 49.000

Vollzeit

Vor 10 Tagen
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Benefits dieser Stelle

Relocation support
Meal/food benefits
Work-life balance initiatives

Zusammenfassung

Silicon Austria Labs in Graz is seeking a talented researcher to develop and test AI for applied research projects with industrial and scientific partners. You will work on anomaly detection, predictive maintenance, and learning methods across manufacturing, electronics, and energy, prioritising safety and trustworthy AI.

The role offers relocation support, state-of-the-art facilities, and opportunities for professional growth within SAL's ESBS ecosystem, with a strong focus on collaboration and

Qualifikationen

  • Master's degree required in a relevant field.
  • Strong Python programming skills.
  • Experience with ML/DL frameworks (PyTorch, TensorFlow).
  • Knowledge of statistical data analysis and anomaly detection.
  • Experience with edge devices (Raspberry Pi, NVIDIA Jetson).

Aufgaben

  • Conduct innovative AI research and address scientific questions.
  • Plan experiments, simulations and research activities.
  • Translate findings into practical technologies and applications.
  • Present results within SAL and at conferences.
  • Collaborate with colleagues and external partners and contribute to publications.

Kenntnisse

Python programming
Git (GitLab)
PyTorch
TensorFlow
ML / DL
Reinforcement learning
Edge AI / TinyML
English communication

Ausbildung

Master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics, or a related field

Tools

Git
PyTorch
TensorFlow
Raspberry Pi
NVIDIA Jetson

Jobbeschreibung

Silicon Austria Labs in Graz is seeking a talented researcher to develop and test AI for applied research projects with industrial and scientific partners. You will work on anomaly detection, predictive maintenance, and learning methods across manufacturing, electronics, and energy, prioritising safety and trustworthy AI.

The role offers relocation support, state-of-the-art facilities, and opportunities for professional growth within SAL's ESBS ecosystem, with a strong focus on collaboration and

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