RESPONSIBILITIES
- 3 years experience in supply chain planning (ideally with knowledge of material requirements planning)
- Degree (Bachelor/Master) in Business Administration, Operations Management or similar OR qualification with relevant professional experience in the field
- Fluent in English, German is a strong plus
- Experience in state-of-the-art planning processes and systems (eg. SAP IBP)
- Interested in working within a fast-paced environment, within a global organization
- Strong analytical skills and fact-based decision making
- Open minded, collaborative and solution oriented
- Focused and Proactive
- Good interpersonal skills - Team player
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RESPONSIBILITIES
- University degree (Bachelor's or Master's) with focus on supply chain management or logistics
- Fluent in English, German is considered as a plus
- 3+ years of professional experience in the field of (production) planning, supply chain management, or logistics.
- Experience with SAP S4/HANA, planning systems preferably SAP IBP and master data systems (SAP MDG-M) is advantageous.
- Very good MS Office skills, especially Excel.
- Analytical, precise and structured way of working.
- Process- and solution-oriented, able to work under pressure, organisational talent.
- Team Player mindset! You will be inserted in a multi-cultural and multi-skilled environment.
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RESPONSIBILITIES
- Proven track record in project execution and cross-functional leadership, guiding diverse engineering teams toward successful delivery.
- 5+ years of experience in a senior Engineering or Automation Lead role, ideally within a high-performance or manufacturing environment.
- Exceptional communication skills, with the ability to engage effectively with both technical experts and non-technical stakeholders across all levels of the organization.
- Strong analytical mindset, capable of translating complex business needs into innovative, practical technical solutions.
- Deep technical expertise in intralogistics processes, warehouse automation, production equipment interfaces, and integration with IT systems.
- Solid understanding of industry standards, cutting-edge technologies, and regulatory frameworks, ensuring compliance and future-ready solutions.
- Proficient in MS Office and AutoCAD tools for project planning and design.
- Fluent in English and conversational in German, enabling effective collaboration in an international environment.
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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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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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