Current Jobs / Internships

11 Nov 2021 Final Thesis (Bachelor- Master or project thesis) or to carry out an Internship for the topic “Life Cycle Assessment of milk alternatives – Hemp milk“

We are looking for a highly motivated new team member (m/w/x) to join our Food Data Group for a

Final Thesis (Bachelor- Master or project thesis) or to carry out an Internship for the topic “Life Cycle Assessment of milk alternatives – Hemp milk“

 

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.

Areas of responsibility
  • Literature review in the fields milk alternatives
  • Measurement and comparison of life cycle assessments of different production processes
Your profile
  • Study of food technology, mathematics, computer science, data science or comparable courses
  • Awareness of the alternative milk production processes
  • Analytical and systematic thinking ("Life Cycle")
  • Interest in reducing the environmental impact of food
  • Independent, motivated and team-oriented work
  • Very good knowledge of German; Knowledge of English is an advantage

Contact person
Are you interested?

Then are looking forward to receiving your CV and motivation letter, preferably by E-Mail.


DIL Deutsches Institut für Lebensmitteltechnik e. V.
Prof.-von-Klitzing-Str. 7 · D - 49610 Quakenbrück
Phone: +49 (0)54 31.183 - 0
Fax: +49 (0)54 31.183 - 114
bewerbung@dil-ev.de
04 Okt 2021 Thesis (Bachelor- Master or project thesis)
for the topic “Digitalization and modelling modular sustainable food/feed systems “.

We are looking for a highly motivated new team member (m/w/x) to join our Food Data Group for a

Thesis (Bachelor- Master or project thesis)

for the topic “Digitalization and modelling modular sustainable food/feed systems “.

 

The global food system is complex, involving many actors exchanging vast amount of information and reflected in its sustainable use of land and water and significant food loss and waste. Digital technologies and modelling have the potential to improve efficiency, equity, nutrition and health and sustainability of food/feed. This Thesis/Internship is part of European Union’s Horizon 2020 research and innovation program named: SUSINCHAIN – Sustainable insect chain (https://susinchain.eu/). In your thesis at DIL, you will be able to help this effort by performing life cycle assessment, modelling modular proposed system, data collection and writing automated scripts for data handling and exploration. Analytical and mathematical thinking as well as capability to work in an international team will be necessary to achieve this. In turn, you will be able to experience a diverse range of tasks in a motivated, international team.

Areas of responsibility
  • research with regard to food/feed
  • Data collection, automated scripts and analysis related to feed and food
  • Mathematical modelling of the process
  • Assessment of environmental impact using SimaPro
  • Organizing, documenting and presenting results to the team
Your profile
  • Study of food technology, mathematics, computer science, data science or comparable courses
  • Strong understanding of data handling, exploration and analysis.
  • Competencies in data collection and mathematical modelling
  • Structured way of thinking and well-developed coding (C/ C++/ PHP/ Python), data management (MySQL) and analytical skills.
  • Knowledge in life cycle assessment or machine learning using python is an asset.
  • Independent and self-motivated work style, willingness and ability to perform and work in a team
  • Good Microsoft Office skills
  • Good English in writing and speaking

Contact person
Are you interested?

Then are looking forward to receiving your CV and motivation letter, preferably by E-Mail.


DIL Deutsches Institut für Lebensmitteltechnik e. V.
Prof.-von-Klitzing-Str. 7 · D - 49610 Quakenbrück
Phone: +49 (0)54 31.183 - 0
Fax: +49 (0)54 31.183 - 114
bewerbung@dil-ev.de
29 Sep 2021 Thesis (Bachelor- Master or project thesis)
for the topic “Scaling factors of sustainable production chains “.

We are looking for a highly motivated new team member (m/w/x) to join our Food Data Group for a

Thesis (Bachelor- Master or project thesis)

for the topic “Scaling factors of sustainable production chains “.

 

This Master thesis/Internship is part of working package 7 (WP7) of European Union’s Horizon 2020 research and innovation program named: SUSINCHAIN – Sustainable insect chain (https://susinchain.eu/). The aim of this project is to contribute to novel protein provision for feed and food in Europe by overcoming the remaining barriers for increasing the economic viability of the insect value chain and opening markets by combining forces in a comprehensive multi-actor consortium. The goal of WP7 is development of multi-objective optimization model suitable for the defining optimal insect production scenarios from sustainability perspective.

Aim of student’s master thesis/internship will be the development of scaling factors applicable for the different aspects of production chains including (but not limited to) scale of production, type of feed, type of processing applied, etc. Furthermore, the verification of the developed factors will be performed by the means of LCA approach.

Areas of responsibility
  • Modelling
  • LCA analysis and interpretation of results
  • Data collection and interpretation
Your profile
  • Studies related to modelling or LCA
  • Prior experience in LCA analysis not necessary, but is consider as advantage
  • Ability to generate models and mathematically represent them is prefferable
  • Good communication skills, teamwork and motivation to work on this topic
  • Good computer literacy
  • Good spoken and written English skills required
  • Good German skill is a plus

Contact person
Are you interested?

Then are looking forward to receiving your CV and motivation letter, preferably by E-Mail.


DIL Deutsches Institut für Lebensmitteltechnik e. V.
Prof.-von-Klitzing-Str. 7 · D - 49610 Quakenbrück
Phone: +49 (0)54 31.183 - 0
Fax: +49 (0)54 31.183 - 114
bewerbung@dil-ev.de
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