PhD Position in Supply Chain Research (3 years)

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WE SEARCH FOR Crises such as wars, pandemics, and climate extremes destabilise global and national supply chains, and can lead to significant supply shortages of essential goods, such as food and medicines. Severe disruptions propagating along complex supply chain networks can expose entire regions or countries to the risks of food supply shortages. How can the risks threatening food security be quantified in real time? How can supply chain networks be made more resilient to such shocks?

To answer these questions, we are looking for a dedicated phd researcher for an interdisciplinary collaborative research project on developing a supply network stress testing (SNST) framework for real world supply network data of unprecedented detail. Based on cutting edge science of supply-chain networks and agent based modelling, SNST focuses on improving the resilience of the Austrian food security YOUR PROFILE We are looking for an excellent young scientist with a Master’s degree (or equivalent) with a quantitative focus (e.g. data science, physics, economics, biology, operations research, veterinary medicine, supply chain management, food science).
In your Master’s thesis, you have successfully shown your quantitative research skills. You have the ability to independently carry out data-intensive research and show good programming (e.g., Python, R, Julia), modelling and quantitative skills. Knowledge of SQL databases, large data handling in Python, food supply networks is a plus. Proficiency in English (written and spoken) is a prerequisite. WE OFFER We are offering this position (30h/week, € 37.577 gross/year; parttime possible) to work with Stefan Thurner in the economics and supply chain team at the Complexity Science Hub Vienna, Austria. The successful candidate will work in a highly interdisciplinary environment and benefit from opportunities for personal development and access to an international network of researchers from different disciplines. The position can start as soon as possible. APPLICATION Please upload your application materials here on the jobplattform only. The application includes a curriculum vitae, a list of publications, a brief research statement (why you think you are an excellent candidate in this topic and what research you would like to do with us), and any additional material that helps us to understand that you are research-oriented, technically skilled, and creative.

Please also upload a document which includes names and full contact addresses of at least two individuals who are willing to write a letter of recommendation for you if we request it.

We will begin evaluating applications immediately, and the announcement will remain open until the position is filled. CSH is committed to equal opportunity for all applicants. Hiring decisions are based on job requirements, qualifications, merit, and organizational needs. Priority will be given to minority students and those committed to promoting inclusion, equity, and improving scientific processes.

We process your data in accordance with legal requirements (https://www.csh.ac.at/data-protection/). About us The Complexity Science Hub (CSH) is Europe’s research center for the study of complex systems. We derive meaning from data from a range of disciplines – economics, medicine, ecology, and the social sciences – as a basis for actionable solutions for a better world. Established in 2015, we have grown to over 70 researchers, driven by the increasing demand to gain a genuine understanding of the networks that underlie society, from healthcare to supply chains. Through our complexity science approaches linking physics, mathematics, and computational modeling with data and network science, we develop the capacity to address today’s and tomorrow’s challenges.

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