Responsibilities

• You will be part of a recently funded scientific project from the Swiss National Science Foundation (SNSF) in the field of consumer online reviews. Your key task is to conduct empirical research related to the field of this project.
• Other tasks include general scientific and administrative activities related to your position at the University of Lucerne.

Requirements

• An above-average degree in machine learning, or data science.
• Excellent data analysis skills (deep learning, in particular text and image classification skills)
• Strong interest and passion for scientific questions related to marketing and marketing analytics.
• A high level of personal initiative and goal orientation
• Excellent command of written and spoken English (speaking German is a plus, but not a strong requirement)
• A strong attention to detail and high-quality focus

• A dissertation in marketing/ management and economics (title: Dr. oec.)
• Scientific work in cooperation with international research partners
• A cooperative working atmosphere in a small, but highly motivated research team
• Continued education in quantitative methodology (e.g., at the St. Gallen Summer School, GSERM)
• Position funding and salary according to the regulations of the Swiss National Science Foundation (SNSF).

For further information, please contact Anita Bossard Hou at E-Mail schreiben.

Please submit a full application (motivation letter, CV, work and graduation certificates, transcripts of records) via our application button below.

The University of Lucerne is a modern, personal and dynamic human sciences university at the heart of Switzerland and Europe. In keeping with our guiding principle 'Moving Human Sciences', we focus on people and their institutions with our six faculties and two academies, soon to be joined by two university research centres. Our aim is to develop the University of Lucerne into a pioneering, internationally visible centre for research and teaching in the human sciences.

The Faculty of Economics and Management opened its doors in the autumn semester of 2016. Exceptional supervision of students, interactive forms of teaching, close links between academia and practice, a focus on current issues in political economics, management and data sciences, and a young, motivated team all give this faculty a unique profile.