Job
- Level
- Junior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 3.963 € Brutto/Monat
- Ort
- Graz
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Position entwickelst du innovative Algorithmen für die Anomalieerkennung, Planungen zur Fehlerminderung und prädiktive Wartungsstrategien, während du deinen Beitrag zur skalierbaren KI-Forschung leistest und eng mit Partnern zusammenarbeitest.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- Master's degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics or a related field.
Qualifikationen
- Good programming skills in Python.
- Familiarity with frameworks such as PyTorch and TensorFlow.
- Good communication, presentation and academic writing skills.
- Proficiency in English is essential, and proficiency in German would be advantageous.
Erfahrung
- 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.
Benefits
Essen & Trinken
Mehr Netto
Work-Life-Integration
Gesundheit, Fitness & Fun
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
Silicon Austria Labs GmbH
Graz, Altenberg Bei Linz
Mit SAL entsteht ein europäisches Spitzenforschungszentrum für elektrische Systeme. Im Netzwerk von Wissenschaft und Wirtschaft betreiben wir Forschung auf höchstem globalem Niveau und schaffen so die Basis für neuartige Produkte und Prozesse.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Junior Scientist AI
- Gehalt
- ab 3.963 € Brutto/Monat
- Ort
- Graz
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
