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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
Lab (DASAL project, a flagship collaboration between TU Delft and Royal NLR, funded through the Dutch national growth fund under the ‘Luchtvaart in Transitie’ programme. DASAL serves as a living lab for
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competences in one or more of these categories: railway/structural engineering, structural dynamics, vibration measurement and analysis, structural health monitoring, data science or related fields. Programming
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. Programming skills in one or more scientific computing environments, such as Python, MATLAB, or similar. Ability to collaborate effectively with academic researchers and industry partners. Excellent command
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multidisciplinary environment of engineers, biologists, and clinicians across seniority levels, driving innovation in regenerative medicine. An educational and professional development program will be offered to you
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some experience with programming and/or scientific computer software is considered a plus. This is what we offer you A temporary contract for 38 hours per week for the duration of 4 years (the initial
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
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work environment. To reinforce that, we have committed ourselves to the joint Statement Social Safety of the Association of Universities in the Netherlands and the National Action Plan for Diversity and
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years, which should result in the conferral of a doctorate. You will attend courses offered by the AISSR and the Graduate School of Social Sciences as part of the PhD program. In addition to doing
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institutional challenges through experiential learning games), a project within the NL-CGIAR Research Programme II – WFN call, is looking for three highly motivated PhD candidates to contribute to this project
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. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks