Junior Scientist AI (all genders)

Silicon Austria Labs; Graz; Vor Ort; EUR 38.000 - 52.000; Vollzeit

Benefits dieser Stelle

Relocation support

Training opportunities

Family-friendly environment

Meal allowance

Zusammenfassung

Silicon Austria Labs in Austria’s Graz area seeks a research-focused AI specialist to develop resilient and trustworthy AI for applied projects with industrial partners. You will advance anomaly detection, predictive maintenance, and scalable distributed AI across manufacturing, electronics and energy contexts.

Required is a Master’s degree and strong Python, Git, PyTorch, TensorFlow experience, plus familiarity with ML techniques from SVMs to transformers.

Qualifikationen

• Master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics, or a related field.
• Good programming skills in Python.
• Experience with code management tools such as Git (GitLab).
• Experience with frameworks such as PyTorch and TensorFlow.
• Experience of applying statistical techniques to analyse data, detect outliers and sample datasets.
• Good knowledge and a proven track record 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 Large Language Models (LLMs) and Generative AI, Embedded AI and TinyML, Reinforcement Learning, Formal Methods and Automata Learning.
• Experience with edge platforms (Raspberry Pi, NVIDIA Jetson).
• Fluency in English is essential; knowledge of German would be advantageous.
• Good communication skills, including basic presentation and academic writing skills.

Aufgaben

• Conduct innovative research in your field of expertise and investigate new approaches to address challenging scientific and technological questions.
• Analyse research questions and application requirements, identify suitable methods and develop solutions in collaboration with experienced colleagues and senior experts.
• Design, plan and carry out experiments, simulations and research activities, and critically evaluate and interpret the results.
• Translate research findings into practical solutions and contribute to the development of innovative technologies and applications.
• Present and discuss your results within the research team, at scientific conferences and with external partners.
• Contribute to scientific publications, technical reports, reviews, project proposals and research documentation.
• Follow current scientific and technological developments and continuously expand your expertise through research, training and professional development.
• Build a strong scientific profile and develop towards becoming a recognised expert in your field.
• Actively contribute to knowledge exchange and foster collaboration across interdisciplinary research teams.

Kenntnisse

Python

Git

PyTorch

TensorFlow

Statistics

Machine learning

LLMs & Generative AI

Reinforcement Learning

Formal Methods

Automata Learning

Raspberry Pi

NVIDIA Jetson

English fluency

German (advantage)

Ausbildung

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

Tools

Git (GitLab)

Raspberry Pi

NVIDIA Jetson

Jobbeschreibung

As part of SAL’s Embedded Systems research team, you will be responsible for developing and testing resilient and trustworthy AI in applied research projects with industrial and scientific partners, as well as colleagues from other SAL units.

You will support research and development in areas such as advanced anomaly detection, out-of-control action planning, predictive maintenance algorithms and automata learning.

You will contribute to the development of scalable, distributed AI and learning methods, such as federated learning, federated distillation and reinforcement learning, and apply these techniques across domains including manufacturing, electronics and energy, while prioritising safety, reliability and trustworthy AI practices.

Your Future Tasks Include

• Conduct innovative research in your field of expertise and investigate new approaches to address challenging scientific and technological questions.
• Analyse research questions and application requirements, identify suitable methods and develop solutions in collaboration with experienced colleagues and senior experts.
• Design, plan and carry out experiments, simulations and research activities, and critically evaluate and interpret the results.
• Translate research findings into practical solutions and contribute to the development of innovative technologies and applications.
• Present and discuss your results within the research team, at scientific conferences and with external partners.
• Contribute to scientific publications, technical reports, reviews, project proposals and research documentation.
• Follow current scientific and technological developments and continuously expand your expertise through research, training and professional development.
• Build a strong scientific profile and develop towards becoming a recognised expert in your field.
• Actively contribute to knowledge exchange and foster collaboration across interdisciplinary research teams.

Your Profile

• Master’s degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics, or a related field.
• Good programming skills in Python.
• Experience with code management tools such as Git (GitLab).
• Experience with frameworks such as PyTorch and TensorFlow.
• Experience of applying statistical techniques to analyse data, detect outliers and select and sample datasets.
• Good knowledge and a proven track record 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 Large Language Models (LLMs) and Generative AI, Embedded AI and TinyML, Reinforcement Learning, Formal Methods and Automata Learning.
• Experience with edge platforms (Raspberry Pi, NVIDIA Jetson).
• Fluency in English is essential; knowledge of German would be advantageous.
• Good communication skills, including basic presentation and academic writing skills.

Important Facts About SAL

• Diverse research activities with many technical challenges.
• State-of-the-art laboratory facilities and equipment.
• Location in the heart of Europe in Austria – relocation support for non-European nationalities.
• Internal and external training opportunities for career development.
• Family & children friendly - actively shaping the compatibility of family and career.
• “Vital4SAL” to promote a healthy workplace (e.g. SAL coaching pool, trainings on mental health, physical activities, healthy snacks, 24/7 accident insurance)
• € 4 per day meal allowance in restaurants or € 2 per working day in supermarkets.
• Public transport initiative (subsidy for the “Klimaticket”)
• Our values: Open door policy, flexibility in working hours, casual dress code, diverse teams, working with people of different nationalities, informal communication, lifelong learning, compatibility of family and career, sustainability, personal growth, and collective advancement.

This position is subject to the Collective Agreement for employees in non-university research (Research CA) starting in occupational group E. We offer competitive salaries and additional benefits based on your experience and qualifications. For this position, your minimum monthly salary starts with EUR 4.056, paid 14 times a year

About Us

Silicon Austria Labs (SAL) is a top research center for Electronics and Software Based Systems (ESBS). At three locations (Graz, Villach, Linz), SAL is conducting research along the entire ESBS value chain in the areas of sensor systems, power electronics, intelligent wireless systems, microsystems and embedded systems to develop future-oriented solutions for industrial production, health, energy, mobility, safety and more. SAL brings together key players from industry, science and research and thus valuable expertise and know-how and conducts cooperative, application-oriented research along the value chain. Cooperative projects are co-financed by SAL and enable a fast and unbureaucratic project start. SAL is thus shaping the high-tech location Austria and Europe and developing the future.

Innovation is our top priority and so are our employees. We are a family-friendly company and support the compatibility of work and family as much as possible. That is why we have been awarded the Work and Family Certificate until 2026. But we are constantly working on new measures to offer our employees an environment where they feel good, healthy and motivated.