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expertise and techniques from food technology, sensory and consumer science and soft matter physics to deliver new insights into structure-property relationships of fibrous PBMAs. The new insights can be used
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Your job Are you a talented aspiring researcher interested in integrating physics with food technology? Would you like to contribute to the sustainable protein transition while working with state
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Your job Do you want to follow your passion for philosophy of (digital) technology in a PhD study in our Philosophy group? Are you an openminded thinker who likes to collaborate with other
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of the project and will provide fundamental engineering support. While the project is fundamental in nature, the PhDs will have the opportunity to work at the interface between Research and Technology Development
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completed MSc degree in Physical Chemistry, Physics, Food Science, Materials Science, Biotechnology, Chemical Engineering; knowledge of (food) proteins, and their functional characteristics; research
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Institute will be your co-supervisor. In your project, you will also collaborate closely with a second PhD candidate and colleagues from Delft University of Technology as well as partners from China. Your
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Your job Are you a biologist interested in architecture, design, and engineering? Or an engineer or designer interested in biology? Would you like to contribute to the design of sustainable
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. We will use a bioengineering approach, applying our microfluidic and protein engineering toolbox to design scalable multi-compartmentalization capable of organizing the intracellular reaction networks
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Your job Are you interested in integration of offshore energy and seafood production and potential biodiversity benefits? If yes, then we may have the perfect opportunity for you! Scientific context Increasing demand for sustainable energy production is leading to rising numbers of offshore...
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degree (MSc) in a discipline relevant to the PhD project (e.g., operations research, operations management, industrial engineering, computer science); Experience with quantitative modelling methods (e.g