Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 3.963 € Gross/Month
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you will develop innovative algorithms for anomaly detection, out-of-control action planning, and predictive maintenance strategies while contributing to scalable AI research and collaborating closely with partners.
Job Technologies
Your role in the team
- As a member of SAL’s Embedded Systems research team, you will push the boundaries of resilient and trustworthy AI in applied research projects, collaborating with industrial and scientific partners as well as colleagues across SAL units.
- Support applied research and development in areas such as advanced anomaly detection, out-of-control action planning, predictive maintenance algorithms, and automata learning.
- Contribute to the development of scalable, distributed AI and learning methods—including federated learning, federated distillation, and reinforcement learning—and apply these techniques across domains such as manufacturing, electronics, and energy, with a strong focus on safety, reliability, and trustworthy AI practices.
- Conduct research, understand application contexts, identify suitable methods to solve challenges, and implement solutions with guidance from senior colleagues.
- Present your results to colleagues and at conferences, publish research papers, and prepare reports, reviews, and summaries.
- Continuously develop your technical expertise and become a recognized expert in the field, with SAL providing support through training and development opportunities.
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Our expectations of you
Education
- Master's degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics or a related field.
Qualifications
- Good programming skills in Python.
- Vertrautheit mit Frameworks wie PyTorch und TensorFlow.
- Good communication, presentation and academic writing skills.
- Proficiency in English is essential, and proficiency in German would be advantageous.
Experience
- Proven knowledge and experience in machine learning, including classical methods such as SVMs and decision trees, as well as deep learning methods such as LSTMs, CNNs and transformers.
- Specific experience in LLMs and generative AI, embedded AI and TinyML, reinforcement learning, formal methods and automata learning is advantageous.
- Experience with code management tools such as Git (GitLab).
- Experience of applying statistical techniques to analyse data, detect outliers and select and sample datasets.
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Benefits
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This is your employer
Silicon Austria Labs GmbH
Graz, Altenberg Bei Linz
With Silicon Austria Labs (SAL), we are creating a top European research center for electronic systems. We have world-class research that creates the basis for innovative products and processes in cooperation with science and business.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Science, Research
Junior Scientist AI
- Salary
- from 3.963 € Gross/Month
- Location
- Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
