Your future responsibilities

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.

In this role, you will:

• 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.

Your profile

• Master's degree in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Data Science, Physics or a related field. 
• 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. 
  
• Good programming skills in Python. 
• Experience with code management tools such as Git (GitLab). 
• Familiarity with frameworks such as PyTorch and TensorFlow. 
• Experience of applying statistical techniques to analyse data, detect outliers and select and sample datasets. 
• Good communication, presentation and academic writing skills. 
• Proficiency in English is essential, and proficiency in German would be advantageous. 

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 3.963,00, 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.

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