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. Knowledge of renewable energy systems (hydropower, wind, solar) and their grid integration. Experience in mathematical modeling, optimization algorithms, and data-driven methods. Possess a strong academic
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, energy system modeling, and operations research or optimization. Very good programming and modeling skills, preferably in Julia, Python, or a similar programming language. Knowledge and/or experience with
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for 3 years. Responsibilities The successful candidate will: Develop, optimize and validate advanced 3D cell culture models, including spheroids, organoids and tissue-engineered constructs. Establish
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data-driven learning and which should remain within structured optimization. In line with AID’s research areas, the project will emphasize knowledge embedding, uncertainty representation, risk-aware
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/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous scientific writing or academic publications (e.g., peer-reviewed journals), industrial collaboration, knowledge transfer
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headquarters in Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD position will be hosted at the Department of Mathematical
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for 3 years. Responsibilities The successful candidate will: Develop, optimize and validate advanced 3D cell culture models, including spheroids, organoids and tissue-engineered constructs. Establish
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an advantage: Good knowledge of mathematical optimization (e.g., mixed-integer linear programming, stochastic programming, meta-heuristics) Knowledge of machine learning and/or AI methods Experience with
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Flexibility Apply for this job See advertisement Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in the future? We are