3-Year PostDoc Position in Supply Network Modelling and Analysis



We are looking for an excellent young scientist with a PhD degree (or equivalent) with a quantitative focus (e.g., data science, physics, mathematics, economics, operations research, supply chain management). The candidate must have a strong background in data-retrieval, data-driven simulation and modelling. We search for individuals with excellent programming skills and the ability to independently carry out data-intensive research, as evidenced by a track record of scientific publications. The ideal candidate has a strong interest in multidisciplinary work. Proficiency in English (written and spoken) is a prerequisite.

We search for critical thinkers that are open-minded, have a collaborative spirit and feel comfortable within an interdisciplinary environment cutting across network science, supply chain management, economics, and complex systems. We encourage you to apply if you are eager to understand supply and production networks on a regional and international level, get your hands on real data and collaborate with industry and policy stakeholders.



A fully funded 3-year PostDoc position, € 60.900 gross per year (according to the standard personnel costs and salaries of the Austrian Science Fund FWF), in an exciting research environment at the Supply Chain Intelligence Institute Austria, close collaboration with colleagues from the Complexity Science Hub (CSH) Vienna, the Aus-trian Economic Research Institute (WIFO) and the Logistikum at the University of Applied Sciences Upper Austria, next to access to a network of world-renowned researchers and a great community of talented, young and motivated PhD and Postdoc researchers.



Candidates send their application material to info@ascii.ac.at with the subject line: “PostDoc Application Supply Network Analysis”. Applications will be reviewed until the position is filled. Application material includes a CV, list of publications, a vision letter and any additional material showing your mathematical excellence, computational skills, and creativity. Please also include names and full contact addresses of at least one individual that is willing to write a letter of recommendation for you. We especially encourage female candidates to apply.

ASCII processes your personal data in accordance with the law (https://ascii.ac.at/privacy-policy/).


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