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Data Engineer in Supply Chain Research (2 years)

Temporary, Full-time · Vienna
56,000 € per year
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WE SEARCH FOR
Crises such as wars, pandemics, and climate extremes destabilize 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 Data Engineer 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 data engineer / scientist with a bachelor's or master's degree and a strong background in computer science or related discipline or equivalent working experience. 
  • Excellent programming skills (Python is desired)
  • Data base development skills
  • Implementation of automated data processing pipelines 
  • Dealing with heterogenous data sources
  • GIS is an asset
  • Good communication skills
We especially encourage underrepresented groups to apply.
WE OFFER
We are offering this position (40hrs/week, minimum salary € 56,000- gross/year; over-payment is possible depending on education, qualification, and work experience; part-time possible) to join the economics and supply chain team at the Complexity Science Hub. 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 be started as soon as possible.
APPLICATION
Please upload your application material on this job platform only. The application includes a curriculum vitae, a list of publications and or projects that demonstrate your data engineering ability, a a brief statement outlining how you worked previously with large complex data sets  (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/).
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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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Über uns
Das Complexity Science Hub (CSH) ist Europas Forschungszentrum für die Untersuchung komplexer Systeme. Wir leiten Bedeutung aus Daten verschiedener Disziplinen ab - Wirtschaft, Medizin, Ökologie und den Sozialwissenschaften - als Grundlage für handlungsorientierte Lösungen für eine bessere Welt. Seit unserer Gründung im Jahr 2015 sind wir auf über 70 Forscher angewachsen, angetrieben von der zunehmenden Nachfrage nach einem echten Verständnis der Netzwerke, die der Gesellschaft zugrunde liegen, von der Gesundheitsversorgung bis hin zu Lieferketten. Durch unsere komplexen wissenschaftlichen Ansätze, die Physik, Mathematik und computergestützte Modellierung mit Daten- und Netzwerk-Wissenschaften verknüpfen, entwickeln wir die Fähigkeit, die Herausforderungen von heute und morgen anzugehen.   
   
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