an engineer or an intern (50%-100%) for: Data-driven and physics-based optimization of postharvest supply chains from farm to fork
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an engineer or an intern (50%-100%) for: Data-driven and physics-based optimization of postharvest supply chains from farm to fork
Application Deadline: 11/04/2020 08:40 - Europe/Brussels
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Company Empa
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Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society.
Empa’s Laboratory of Biomimetic Membranes and Textiles is looking for
an engineer or an intern (50%-100%) for: Data-driven and physics-based optimization of postharvest supply chains from farm to fork
Our laboratory . Empa’s Laboratory of Biomimetic Membranes and Textilesaims to develop materials and systems for the protection of the human body and its health. The products developed in collaboration with industry are used in the fields of occupational safety, sport, medical applications, and health-tech.
Background . Optimizing postharvest cold chains of fruits and vegetables across all unit operations is of key importance to maintain fresh food quality and to reduce food losses. Temperature and the gas composition in the air are affecting decay and food quality, so they need to be controlled during precooling, refrigerated transport, and cold storage. By optimizing these environmental parameters, shelf life can be maximized. Currently, extensive monitoring is performed on the environmental conditions in food supply chains (air temperature and humidity). However, often, such sensing only covers a part of the cold chain and not the entire journey from farm to fork. Taking into account the entire journey is essential to quantify how the fresh-food quality evolves, and what the final quality and shelf life are that the retailers, and thus the consumer, receive. In addition, only simplified analyses are performed on these huge datasets. This makes that there is most probably a lot of unexplored information in the data.
Objective . The key objective is to better use this sensor data to identify when and where the quality loss occurs, and how commercial cold chains can be improved, to reduce food loss. To this end, data-driven and physics-based modeling are used, among others by integration into digital twins. This project is performed in collaboration with a Swiss retailer. In this project, you will be able to improve future supply chains of fruits and vegetables in order to reduce the environmental impact of the food we consume.
Your tasks:
Organize experiments in commercial cold chains, process the measured sensor data statistically, reformat data in databases, and analyze data for variability.
Analyze the data with statistical techniques (e.g. PCA, Monte Carlo) to identify critical problem locations in the cold chain. As a next step, more advanced data-driven techniques, such as machine learning, can be explored.
Use this data to build up and use physics-based and/or data-driven digital twins
Propose solutions to improve the shelf life and reduce food losses and test these solutions in the field by full-scale trails.
Support other physics-based and data-driven projects in the lab and set up a framework for quality assurance in modeling & simulation
Support in the organization of modeling and simulation events.
The work will be performed at the facilities of Empa (St. Gallen). Regular visits to the facilities of the Swiss retailer company are likely to be required.
Your profile:
Administration . A project duration of 1 year is envisaged to carry out the above research tasks. However, a further extension is possible but needs to be discussed, depending on the qualifications of the candidate and the workload percentage. Internships are also expected to stay for 1 year. The project is supported by Empa under the supervision of Thijs Defraeye. The desired starting date is 1st of June 2020 or upon mutual agreement. A workload of 50%-100% is acceptable and can be negotiated.
For further information about the position please contact Thijs Defraeye Thijs.defraeye@empa.ch and visit our websites www.empa.ch/web/s401 and Empa-Video
We look forward to receiving your online application, including all following documents: (1) a letter of motivation, (2) CV including publications and presentations, (3) diplomas with transcripts, and (4) contact details of two referees. Incomplete applications will not be considered. Please upload the requested documents through our webpage. Applications via email will not be considered.
Empa, Esther Zürcher, Human Resources, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland.
Additional Information
Web site for additional job details
https://academicpositions.com/
Requirements
Required Research Experiences
Map Information
+-Leaflet | Map data Google Job Work Location Personal Assistance locationsGet More Personal Assistance Work location(s) 1 position(s) available at Empa Switzerland Dübendorf CH-8600 Ueberlandstrasse 129 EURAXESS offer ID: 504044
Posting organisation offer ID: 141953
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