The number of consumers that search for animal products’ alternatives is continuously growing and with this so is the offer. Milk alternatives is a growing field, as well as other alternative proteins for other daily products such as meat. The most common sources of plant protein are soy, almond and oat, but other sources are rapidly gaining followers. Hemp (Cannabis sativa) also called industrial hemp, plant of the family Cannabaceae cultivated for its bast fibre or its edible seeds and can be used to make a wide range of products from paper to textiles, biodegradable plastics and even food. Together with bamboo, this plant is among the fastest growing plants in the world. This plant is a weed, so it grows with very little inputs (e.g., water) and no pesticides. This crop is even known to return nutrients to the soil helping with desertification of the soils, as well as sequestering more CO2 than other commonly available trees and plants.
The work on thesis " Life Cycle Assessment of milk alternatives – Hemp milk " is part of the project “Cooperative Hemp - Development of a hemp-based dairy product involving the value chain” whose aim is to integrate hemp cultivation more strongly into Lower Saxony's arable farming. The processing and projection of feed and food from hemp in the dairy sector, as well as the use of side streams from hemp production, increase the value chain. This work will include initially comprehensive literature review of hemp utilization as well as milk alternatives and market research. Further, it will include work on life cycle assessment with available, modelled, and experimental data, measuring and comparing environmental impacts of the utilization of hemp (Cannabis sativa) as a possible source of plant milk and derivate products. Finally, the thesis (Bachelor / Master) will estimate the environmental impact of milk production from hemp and compare it with other alternatives available on the market.
We offer the opportunity to work independently on a 6- to 12-month project in the field of data science in an innovative and exciting environment.
Then are looking forward to receiving your CV and motivation letter, preferably by E-Mail.