40 Computer-Science PhD scholarships at Forschungszentrum Jülich in GERMANY

PhD position - Algorithms and Methods for Power System Stability

combining physics, mathematics, computer science, and engineering Excellent scientific and technical infrastructure The opportunity to participate on conferences and project meetings Continuous professional

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong electronics background, with experience in design and simulation of analog, digital

PhD Position - Resource-integrated Energy Scenarios

include: Researching, in particular, publicly available data on current and future materials for energy technologies Implementing the materials in our technology database and in our energy system model

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

. Additionally, enjoyment of teamwork is an important requirement. Masters degree in electrical/electronic engineering, computer science, computer engineering, physics, and related fields. For IC projects a strong

PhD Position - Replacing lost material flows within the energy transition

substitution options within the energy system Implementing the phased-out material flows and their substitution options in our technology database and in our energy system model ETHOS.FINE Deriving demand

PhD Position - New UHV Technologies for the Einstein Telescope for Gravitational Waves Detection

, simulation of the vacuum conditions and heat management during operation, estimation of the pumping capacities including engineering of the pumping stations, gauges and valves, define the operating and system

PhD Position - Process Development in the Department Chemical Hydrogen Storage

, thermodynamics and practical laboratory work Experience with hydrogen technologies, dehydrogenation reactions, catalysis and partial reforming is advantageous Computational competencies for data analysis and

PhD-position - Data Mining, Inference, Prediction and Simulation in Semiconductor material

Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning

PhD Position – New insights from existing PEM water electrolysis data: Optimizing data analysis using Machine Learning

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

PhD position – Digital Integration and AI for Sustainable Hydrogen Technologies

data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics