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, or algorithms to integrate neuromorphic-inspired computing paradigms. Your main tasks will include: Identify areas where neuromorphic-inspired paradigms can be applied Develop concepts to integrate CMOS circuits
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Engineering or Chemistry, Physics or Informatics Experience with experimental work and characterization techniques Demonstrated experience in programming, particularly in Python, with a robust understanding of
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masters degree and subsequent Ph.D. degree in Computer Science, Mathematics, Physics Engineering or in a similar field. Alternatively an excellent masters degree with professional experience Very good
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for licensing, spin-offs or cooperations for business and society. Your tasks in this exciting job in detail: You develop data- and technology-driven business models, carry out market and technology assessments
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degree in information sciences such as computer science, data science or computational engineering. Alternatively, applicants with a Master degree in natural sciences with an affinity for IT are also
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an existing simplified model Your Profile: You are studying engineering, industrial engineering, energy technology, physics or a comparable course of study. You are also characterized by: An interest in
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degree in Engineering, Computer Science, Physics, or a related field, with a strong research interest in sustainable energy technologies and automated systems. Demonstrated experience in programming
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a crucial role in the preparation and monitoring of programmes within the framework of programme-oriented funding of the HGF You will compile basic data for the HGF review procedures that take place
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, Computational Engineering, Computer Science) A doctorate is desirable, but not mandatory Strong computational background, including scientific programming skills (e.g. in Python) Expertise in one or more of the
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC