Scientific project assistant postdoc

Where you will be:The position is hosted by the research group Technology and Innovation Management (TIM) at the Faculty of Business, Economics and the projectSUSTECH investigates how technological trajectories in chemistry and pharmaceuticals evolve, with a particular focus on the selection of hazardous versus sustainable innovations. The project combines large-scale data on chemical compounds and patents with computational chemistry and machine learning to generate novel insights into innovation processes and policy design.The Theory Testing Lab at the University of Vienna focuses on empirical analyses of pharmaceutical innovation, developing and leveraging large-scale datasets (e.g., patents, clinical trials, molecular data) to study how innovation trajectories emerge and are shaped.The position offers the opportunity to contribute to internationally visible, frontier research. You will have the chance to help build and shape a high-impact interdisciplinary research group while working on your own research. The group is led by Prof. Stefan Wagner, who publishes in leading international journals and serves as Associate Editor at Management Science.Your responsibilities:As a Postdoctoral Research you will:Conduct independent and collaborative empirical research on pharmaceutical innovation and technological trajectoriesBuild, manage, and analyse large-scale datasets (e.g., patent data, clinical trials, molecular and firm-level data)Apply advanced econometric methods to study innovation processes and selection mechanismsContribgute to and lead academic publications in top-tier journalsCollaborate closely with an international, interdisciplinary research team across Europe and the USSupport project-related activities and administrative tasks within the ERC projectYou may contribute to teaching activities depending on interest and availability, in which case you participate in evaluation measures and in quality assurance.
Your profile:Completed PhD in economics, management, data science, or a closely related fieldStrong background in econometrics and empirical research methodsExperience with large-scale data work and data integrationProgramming skills in Python, R, Stata, and SQLInterest in pharmaceutical innovation, patents, and the science of scienceExperience with machine learning methods is an advantageAbility to work independently and collaboratively in an international research environmentExcellent command of English (working language of the project) - at the very least C1(written and spoken)
What we offer:Integration into a high-profile ERC Synergy Grant project with strong international visibilityAccess to unique, large-scale datasets and cutting-edge research infrastructureClose collaboration with leading researchers in innovation economics, computational chemistry, and machine learningA dynamic and interdisciplinary research environment at the University of ViennaOpportunities for career development and international networkingFixed-term contract and fair salary: The basic salary of EUR 5.014,30 (14 times a year) for a period of 3 years, with the possibility of extension up to 6 years (6 years representing the maximum contract duration possible).
Application documents:Please apply by submitting:Letter of motivationAcademic CV (including a publication list)Job market paper or representative research workDoctoral Degree Contact details of at least two refereesVia our job portal/ Apply now -  buttonIf you have any questions, please contact:Stefan Wagner   look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female of Vienna. Space for personalities. Since 1365.Data protection​Application deadline: 05/17/2026 
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