PhD Position (Teaching and Research Associate)
Vienna University of Economics and Business
- Research, development, teaching
- Part time
- published till: 2024-07-10
You want to understand how things are connected and make a fundamental impact? We offer an environment where you can realize your full potential. At one of Europe’s largest and most modern business and economics universities. On a campus where quality of work is also quality of life. We are looking for support at the
Institute for AI in Marketing Analytics
Part-time, 30 hours/week
Starting as soon as possible and limited until January 31, 2029
Qualified candidates with disabilities are especially encouraged to apply for this position. If necessary, a reduction of the extent of employment is possible.
You want to deepen your interest in your research topic while gaining teaching experience? This position opens doors to either an academic career or a later switch to a career in business.
About the Institute:
The Institute for Artificial Intelligence in Marketing Analytics aims at being a leading institution for research and education in the area of artificial intelligence in marketing. The rapid growth of artificial intelligence has a profound impact on consumer behavior, leading to radically new businesses and challenging incumbents to adapt their marketing strategies. Therefore, our goal is to do research that focuses on new business problems and groundbreaking artificial intelligence innovations. We use structured and unstructured data and apply state of the art quantitative methods to tackle these problems, to ultimately reach better outcomes for consumers and consumers. Our students are trained to be the next generation of marketing managers with strong analytical skills and a profound knowledge of the mechanics of the digital marketing ecosystem, artificial intelligence technologies in marketing, and the challenges in these areas.
What to expect
Writing a dissertation: You will be investigating your research topic and spending a third of your working hours on writing your dissertation in the rapidly growing field of Artificial Intelligence in Marketing.
Researching impactful topics: Your research will focus on business problems or groundbreaking innovations arising from developments in AI. By using big structured and unstructured data and state of the art machine learning methods, your research contributes to better marketing decisions and more desirable outcomes for both managers and consumers.
Learning from top researchers: You will be getting your own research career off to a great start by working together with worldwide renowned researchers in the marketing field (from the US and Europe) and learning from them. Recurring PhD seminars will help you to improve your ongoing research projects.
Teaching and teaching support: You will be planning and teaching courses in the field of Marketing Analytics and Artificial Intelligence in Marketing and conducting exams yourself.
Student support: You will be available to answer students’ questions, provide feedback on seminar papers, and act as a co-advisor for bachelor theses.
Teamwork: You will be working to advance research in Artificial Intelligence in Marketing together with an experienced and international team. Look forward to a welcoming atmosphere and open-minded discussions.
Building up a personal network: You will be using the pre-doc phase to create your own professional network for the future.
What you have to offer
Degree: We are looking for applicants with a strong academic record, i.e., an outstanding master’s degree (or equivalent qualification) in economics, management, information systems, business engineering, mathematics, physics, statistics, or computer science (or a related field) with a strong focus on quantitative topics such as (quantitative) marketing, econometrics, operations research, finance that qualifies you for enrollment in a doctoral program at WU.
Data analysis: You have good prior knowledge of statistics and empirical research methods. This includes analyzing data using econometric techniques (e.g., with Python or R) AND/OR machine learning skills.
Willingness to use multimedia teaching methods: You are prepared to use multimedia teaching and learning formats. Experience in teaching an asset (e.g., as student assistant or tutor). You should be motivated to continuously improve your didactic skills with WU’s qualification program.
Language skills: For research purposes, we expect you to have an excellent oral and written command of English.
Working style: We look for enthusiastic, curious team players, who are passionate about artificial intelligence in marketing and research. You work independently, show initiative, are willing to take on responsibility, and have good self-organization skills.
What we offer you
Inspiring campus life with over 2,400 employees in research, teaching, and administration and approximately 21,500 students
A modern campus with spectacular architecture in the heart of Vienna
Excellent accessibility by public transportation
Meaningful work in an open-minded, inclusive, and family-friendly environment
Flexible working hours
A wide range of benefits, from an in-house medical officer to athletic activities and a meal allowance to a variety of employee discounts
Curious? Visit our website and find out more at www.wu.ac.at/benefits
The minimum monthly gross salary amounts to €2,684.10 (14 times per year). This salary may be adjusted based on job-related prior work experience. In addition, we offer a wide range of attractive social benefits.
Do you want to join the WU team?
Then please submit your application by July 10, 2024 (ID 2127).
We are looking forward to hearing from you!
APPLY: Prae-doc-Level - Jobs - Jobportal (wu.ac.at)