Vollzeit
Graz, Linz
02.11.2025
Graz, Linz
Your future responsibilities
- Establish, lead, and advance a new research unit, building a team of 10-20 researchers.
- Acquire financial resources to operate the research unit through the different cooperation models of SAL.
- Strategically plan and allocate resources for the Research Unit, ensuring alignment with organizational goals.
- Provide mentorship, scientific guidance, and supervision of researchers.
- Corporate and profit responsibility.
- Initiate and oversee collaborative projects with academia and industry.
- Expand the research unit’s international network through partnership acquisition and ongoing network activities.
- Shape the research program of the Research Unit, creating project portfolios together with the division head.
- Grow the research unit towards research excellence and economic impact.
- Create a motivated, collaborative, and relaxed atmosphere for scientists to thrive in.
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Your future responsibilities
- Lead a diverse team of 8–10 scientists within the Embedded Artificial Intelligence group of the Intelligent Wireless Systems Division, focusing on machine learning and signal processing across various domains and applications.
- Shape the research agenda and project portfolio in collaboration with team members, peers, and the Head of Research Unit
- Drive innovative solutions through effective team leadership and expert coordination. .
- Manage resource planning and allocation for the research team
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Your future responsibilities
- Leading and developing the Embedded Artificial Intelligence research unit in the Intelligent Wireless Systems Division with currently 14 scientists focusing on machine learning, signal processing and neural network VLSI accelerators for a wide range of domains and applications.
- Vision for long-term research opportunities in electronic systems and miniaturization of machine learning and signal processing algorithms into hardware.
- Shaping the division research program and project portfolio together with supervisors and peers.
- Collaborate with the diverse team of experts to find optimal solutions.
- Budget and ressource planning and control for the research unit.
- Overall, lead the research unit to generate high quality research outputs, scientific excellence and economic impact. Keep growing the research unit.
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RESPONSIBILITIES
- Requirements engineering
- Ensuring robust test management and smooth implementation
- Overseeing data quality
- Providing global key user support
- Delivering comprehensive training to enable user proficiency
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RESPONSIBILITIES
- University degree in computer science / similar study or equal practical experience
- At least 3 years of professional experience within an IT department or consulting company
- Hands-on experience in IT project management and in the global roll-out and delivery of business applications
- Demonstrated ability to collaborate across functions or work with external partners
- Understanding of software development and system architecture (data models, integration of systems, programming languages and APIs) is beneficial
- Experience with management, configuration and implementation of SaaS based solutions is valuable
- A good understanding of AI concepts and frameworks to drive applications and foster innovation is a plus
- Knowledge and experience in requirement engineering (user story creation, process modelling, prototyping, …) or business analysis is beneficial
- Proactive working style, excellent communication skills in English (German is a plus) paired with performance- and result-orientation
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RESPONSIBILITIES
- Experience in user research and talking to stakeholders to bridge the gap between the problem of a user and actual AI implementation options
- Proven experience in developing AI-powered solutions, from research to production-ready implementation.
- Strong foundation in modern AI/ML frameworks, patterns and tooling, especially in Generative AI, covering concepts like prompt engineering, RAG, LLM as a judge, fine-tuning, and so on.
- Familiarity with cloud platforms (preferrable AWS) and LLMOps & MLOps pipelines for deploying and scaling AI solutions.
- Expertise in model optimization and evaluation techniques to build robust AI workflows.
- Solid skills in Python (or other relevant languages) and practical experience in applying modern software engineering patterns (like version control systems, merge requests, pair-/mob-programming, testing)
- Strong interest and basic knowledge about Agentic AI and agentic architectures
- Strong communication skills, able to explain technical solutions to non-technical audiences.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Affinity for media and broadcast domain is a plus
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