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, two academies and 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.

Effective immediately or by agreement, we are looking for a

Research Assistant and PhD Student in “Marketing Analytics/Quantitative Marketing”

Are you interested in marketing, digitalization, social media and scientific work? Do you want to research cutting-edge topics at the intersection of marketing theory and practice and generate new knowledge? Are you excited about the insights that firms can get from analysing structured and unstructured data? Then we are your perfect fit! We are a young and highly motivated team (chair: Prof. Dr. Leif Brandes) with a main research focus on quantitative marketing. We undertake a variety of ambitious research projects in cooperation with top international universities (e.g., John Hopkins University or Oxford University).

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

What we offer

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 anita.bossard@unilu.ch.

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

Apply now