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Research Assistant in the Area of Next-Generation Retailer Customer Loyalty Solutions with the objective of obtaining a PhD
In a joint initiative between the Institute of Technology Management at the University of St. Gallen (ITEM-HSG) and the Department of Management, Technology, and Economics at the ETH Zurich (D-MTEC), we are looking at ways to revolutionize the world of customer loyalty in retail.
Keywords: Retail, Information Systems, Data Mining, Data Analytics, Data Visualization, Database Design, Machine Learning, Big Data, Programming, Mobile App, Web Development, Network Technologies
In close collaboration with a Swiss-based high-tech startup, we are developing Big Data analytics solutions to help retailing companies increase their customer loyalty. Our efforts aim at transferring well-established e-commerce concepts to the world of brick-and-mortar businesses like fashion and food retailers using smart phone applications. We are currently looking for several skilled computer scientists or people with comparable education to join our interdisciplinary, experienced, and startup affiliated team. Depending on your favored position and background you will be working on solution development to real-world problems stemming from the domains Data Mining, Database Design, Mobile Apps, Web-based Analytics Dashboards, Data Visualization, and Network technologies.
You have to be eligible for a PhD study at ETH Zurich. As part of our team, you take direct project responsibility and maintain close relationships with our research partners. A background in informatics, data mining, machine learning, statistics and programming is advantageous. Fluent language skills in German are highly recommended.
Employment conditions, compensation and benefits are attractive and based on guidelines of ETH Zurich. The average duration necessary for successfully obtaining a PhD is 3 1/2 years.
In close collaboration with a Swiss-based high-tech startup, we are developing Big Data analytics solutions to help retailing companies increase their customer loyalty. Our efforts aim at transferring well-established e-commerce concepts to the world of brick-and-mortar businesses like fashion and food retailers using smart phone applications. We are currently looking for several skilled computer scientists or people with comparable education to join our interdisciplinary, experienced, and startup affiliated team. Depending on your favored position and background you will be working on solution development to real-world problems stemming from the domains Data Mining, Database Design, Mobile Apps, Web-based Analytics Dashboards, Data Visualization, and Network technologies.
You have to be eligible for a PhD study at ETH Zurich. As part of our team, you take direct project responsibility and maintain close relationships with our research partners. A background in informatics, data mining, machine learning, statistics and programming is advantageous. Fluent language skills in German are highly recommended.
Employment conditions, compensation and benefits are attractive and based on guidelines of ETH Zurich. The average duration necessary for successfully obtaining a PhD is 3 1/2 years.
Not specified
Please send your application including CV and motivation letter to Dr. Thorben Keller (thorben.keller@cosibon.com) and Dr. Irena Pletikosa Cvijikj (ipletikosa@ethz.ch)
Please send your application including CV and motivation letter to Dr. Thorben Keller (thorben.keller@cosibon.com) and Dr. Irena Pletikosa Cvijikj (ipletikosa@ethz.ch)