Interested in betlab?
The betlab focuses on addressing the complex challenges of energy and environmental issues within the built environment. By integrating the principles of building physics with the advanced techniques of data science, we aim to pioneer solutions that are not only innovative but also practical and impactful. We are looking for students who are full of intellectual curiosity and highly motivated.
Wonder if betlab is right for you?
Wondering if betlab is the right fit for you? Our lab is ideal for students who:
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want to acquire knowledge in building physics including building energy systems and data science.
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aspire to grow as an engineer or researcher in the built environment and energy field or a data analyst capable of collaborating with various engineering disciplines.
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are interested in startups that create value by providing services in demand.
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enjoy following changes caused by technological advancements and innovations.
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are familiar with keywords such as energy, environment, technology, and data science.
Required Disciplines and Tools
The following is the knowledge areas and tools required for research.
Disciplines:
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Building physics (heat and mass transfer, fluid dynamics, thermodynamics)
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Numerical analysis
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Optimization theory
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Machine learning
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Bayesian statistics
Tools:
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Programming languages (mainly Python) and the following Python libraries
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Data analysis (Pandas)
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Scientific computing (SciPy, Numpy, SymPy)
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Machine learning (Tensorflow, Scikit-learn, PyTorch, Keras)
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Statistical anlaysis (statsmodels, PyMC)
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Data visualization (Matplotlib, seaborn, plotly, Bokeh, Figma)
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Building energy simulation softwares
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EnergyPlus, OpenStudio, DesignBuilder
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Dymola, Modelica
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Numerical simulation softwares