PhD Candidate in Innovation Economics/Management
Date de publication :
10 octobre 2024Taux d'activité :
100%- Lieu de travail :Zurich
PhD Candidate in Innovation Economics/Management | |
Published | 9 October 2024 |
Workplace | Zurich, Zurich region, Switzerland |
Category | Economics Computer Science |
Position | Junior Researcher / PhD Position |
100%, Zurich, fixed-termKOF ’s Research Division Innovation Economics and the Chair of Strategic Management and Innovation are seeking a highly motivated and talented PhD candidate to join our dynamic research team at the intersection of innovation economics and strategy innovation management. This position offers a unique opportunity to contribute to cutting-edge research. The Chair of Strategic Management and Innovation provides an inspiring, team-based research environment. Our team consists of a dynamic and international group of researchers who share a common vision to contribute to top-level academic research in the fields of strategic management and innovation. The research team has an excellent track record of publishing in leading journals within the field, including The Academy of Management Journal, Organization Science, Strategic Management Journal, and Harvard Business Review. We also have a strong international network of collaborators. The KOF Swiss Economic Institute at ETH Zurich is the leading institute for applied economic research in Switzerland. The Division Innovation Economics conducts high-quality empirical research. We use advanced methods to collect a wide variety of (big) data and analyze them using state-of-the-art econometric and text analytic methods. The division provides the basis for evidence-based policy making in Switzerland and publishes its analyses in leading field journals. Both institutions are associated with the Department of Management, Technology and Economics (D-MTEC) at ETH Zurich. Project backgroundThe KOF Innovation Division and the Chair of Strategic Management and Innovation are collaborating on a cutting-edge research project to investigate sector-specific innovation models, with a particular emphasize on the pharmaceutical industry. Job descriptionIn order to advance this very important work, we are looking for a highly motivated candidate with a strong passion for quantitative research. This includes applying novel empirical methods (e.g., machine learning or deep learning, natural language processing (NLP), and econometrics) to uncover new insights from comprehensive datasets and exploring policy measures that drive innovation in different economic sectors. The ideal candidate will not only have a strong interest in the topic, but also a solid background in quantitative econometric methods and data analytics (e.g. machine learning), which are essential for conducting rigorous analysis in this area. Profile
WorkplaceWe offer
We support the career of women in economics and we encourage female candidates to apply. ETH Zurich offers internationally competitive working conditions. Gross salary will be in accordance with the regulations of the ETH Zürich . Working, teaching and research at ETH Zurich We value diversityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we.We look forward to receiving your online application with the following documents:
Please note that we only accept applications submitted through our online application portal (in pdf format). Applications submitted by email or post will not be considered. Further information about KOF Swiss Economic Institute can be found on our website . Questions regarding the position should be directed to KOF Human Resources by email E-Mail schreiben (no applications). Please submit your application by November 15, 2024. Apply online now | |
In your application, please refer to myScience.ch and referenceJobID65545. |