WE SEARCH FOR
We are looking for a dedicated postdoctoral researcher for an interdisciplinary collaborative research on societal metabolism:
Crises such as wars, pandemics and climate extremes destabilise global supply chains. But how do they affect resource utilisation, sustainability, inequality and social well-being? Can supply chains be made more resilient to shocks? The project addresses these questions with the help of new approaches and unique data on e.g. firm-level supply chains, resource flows, material stocks (for example in buildings and infrastructures) and their services for society. We quantify the resilience to disruptions in supply chains using big data approaches in complexity research. As part of this collaborative project the Complexity Science Hub (CSH) aims to develop an Agent-Based Model (ABM) to simulate the socio-economic impacts of global transition processes on the local economy and population.
We are looking for a postdoctoral researcher who will spearhead this part of the project, by working together with other team members.
YOUR PROFILE
We are looking for an excellent scientist with a doctoral degree (or equivalent) and a strong quantitative, computational background in natural and computational science, economics, or a related field. If you have a keen interest in the intersection of national supply chains on the firm level and international material flows, we want to hear from you. Experience in large-scale data handling and modeling, especially with ABMs, is necessary. Proficiency in programming and database management is essential. Knowledge of project management skills are a plus. Proficiency in English (written and spoken) is mandatory. We search for critical out-of-the-box thinkers that are open-minded and innovative, have a collaborative spirit, and feel comfortable within an interdisciplinary environment cutting across economics and computational sciences.
We strongly encourage women, who are underrepresented in this field, to apply. We believe that diverse perspectives drive innovation and are dedicated to supporting your professional growth and work-life balance. Join us and contribute to groundbreaking research in a supportive and inclusive environment.
WE OFFER
We are excited to offer a fully funded 3-year (2 + 1) Postdoc position at the Complexity Science Hub. You will join a dynamic research environment, collaborating closely with diverse colleagues from various research teams. Enjoy access to a global network of esteemed scientists and become part of a vibrant community of talented and motivated researchers. We prioritize your growth, providing ample opportunities for training and career development. The position starts in October 2024, with the possibility of a two-year extension based on a positive mid-term review.
This full-time position (40h/week) offers a competitive salary of €66,532 gross/year.
APPLICATION
Please apply by following the application button below. The initial deadline is March 1, 2025, later applications may be considered if announced in advance.
Application materials include a CV, a list of publications (working papers, submitted, and/or published), a one-page vision letter (What is your vision for scientific research? What would you like to discover in your future scientific life? Why are you interested in the topic?), and any additional material showing your experimental and computational skills.
Please also include names and full contact addresses of three persons that are willing to write a letter of recommendation for you.
CSH is committed to the principle of equal employment opportunity for all applicants. All employment decisions are therefore based on job requirements, qualifications, merit, and organizational needs. We strongly encourage individuals from underrepresented groups to apply. We process your personal data in accordance with the law (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.
