We are always looking for team members like you: Are you interested in technology? Do you want to change the retail industry together with us? You cannot wait for the future to happen? Join us now as a Bachelor or Master student, Intern or Full-time PhD/Doctoral candidate.
- Master Thesis: Data Science Thesis (Predicting Nutrition
from Shopping Data, e.g. Cumulus, Supercard)
Our research project “Receipt2Nutrition” is the world’s first large-scale voluntary panel that contributes digital receipt data from loyalty cards anonymously to assess the data’s potential to predict dietary behaviour automatically.
You will continue the development of a browser plugin that recommends alternative — healthier — food items to online shoppers, and lead a study to assess the impact of that software on shoppers’ behavior.
You will use computer vision to identify food products and build a Unity application for Hololens or Magic Leap one in which users will become able to see the health impact of ingredient data. The app will then help the user to make the healthiest choice amongst the given alternatives.
You will use computer vision and machine learning to predict for a product image (i.e. 2D images), its corresponding product category (e.g. italian dish) and confidence for your respective prediction. Therefore, you can use existing computer vision tools, e.g. Keras, PyTorch, Tensorflow.
- PhD position @ HSG
In this position, you will focus on designing methodologies and implementing systems that allow smart devices in networked systems to automatically interact with each other, and permit users to monitor, cooperate, and collaborate with such distributed environments in their homes, on the road, and in industrial settings without prior training. In this context, the position will give you the opportunity to work toward a PhD in Computer Science.
If you have any open questions, please feel free to contact us.