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Digital Twin Developer for Food Industry Innovation
vor 1 Monat
We are seeking a highly skilled and motivated postdoctoral researcher to join our team at tsenso GmbH, a leading food-tech start-up based in Stuttgart. Our company is dedicated to providing cloud-based quality analytics for the food supply chain from farm to fork.
About the PositionThis position will be embedded in a larger endeavor coordinated by tsenso GmbH, aiming to use modern experimental techniques and develop digital twins for food products. The overarching goals of the project are to bring food modelling innovation to the market, reducing food waste, improving current food safety processes, and enhancing transparency for consumers.
Key ResponsibilitiesThe successful candidate will be responsible for developing digital twins for food products, leveraging their expertise in machine learning, statistical data analysis, and bio-chemical processes. They will work closely with our team to design and implement efficient algorithms, integrate sensory data, and bridge the physical and virtual worlds.
The ideal candidate will have a Ph.D. in Physics, Applied Mathematics, or Engineering, with a strong background in mathematics, statistical methods, and physics. They should also have experience in doing research in a multi-disciplinary team, excellent programming skills, and a strong interest in combining different scientific disciplines.
Requirements- Ph.D. in Physics, Applied Mathematics, or Engineering
- True interest in biological problems
- Interest in start-up ecosystem and product-oriented research
- Experience in doing research in a multi-disciplinary team
- Excellent programming skills (e.g., C, C++, Python, etc.)
- Strong interest in combining different scientific disciplines to develop new insights
A monthly gross salary will be based on TV-L E13. Interested candidates are encouraged to submit a letter of motivation and a CV.
