-
, physics, computer science, mathematics, electrical/electronic engineering or a related subject Strong programming skills (Python) Familiarity with machine learning and deep learning frameworks (e.g
-
, 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
-
, thermodynamics and practical laboratory work Experience with hydrogen technologies, dehydrogenation reactions, catalysis and partial reforming is advantageous Computational competencies for data analysis and
-
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
-
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
-
, computer science, mathematics or other related subject (you do not need a background in Quantum Computation/Optimization) Good programming skills Useful expertise for the project: Graph Theory/Network
-
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
-
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
-
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
-
, 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