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-engineering/… Position 1 will focus on hydrological and ecohydrological modelling. Applicants should have experience in hydrological and/or ecohydrological modelling, strong programming skills in Python, MATLAB
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• Programming skills (e.g., Python, MATLAB, R) • Experience with AI/ML methods or power system modelling Conditional Offer The award of the PHAETHON PhD Studentship is strictly conditional upon the candidate’s
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and Experience BSc and MSc Degree in Computer Science or Computer Engineering, or relevant field; Strong computer programming skills (e.g., Python, Matlab) are a must; Proven data analysis skills
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Engineering, or related field Strong programming skills (Python required; experience with Golang or similar is an advantage) Experience with data processing Experience in UI development for Windows, macOS
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energy systems, battery energy storage, smart grids, power systems, green hydrogen). Programming language expertise (e.g. Python) Participation in research projects Knowledge of Greek is an advantage but
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in modelling, simulation, or data analysis of energy systems Knowledge of machine learning or artificial intelligence methods Programming experience (e.g., Python, MATLAB or similar tools) Experience
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, and expand in-house modeling libraries, codes, and computational tools, particularly within Modelica/OpenModelica and associated Python-based environments. Conduct parametric analyses, sensitivity
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, Mechanical Engineering, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High
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, Computer Science, or any other related field. Strong background in control engineering and systems theory. High proficiency in programming (C, C++, Python, Julia, or Matlab). High proficiency in English
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sites is required; Previous experience in lab analysis is considered an advantage; Knowledge in programming languages such as Python, R, or MATLAB, and experience in handling large datasets is considered