PostDoc Program | 2026
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Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
WE SEARCH FOR
In an increasingly volatile global landscape the challenges facing modern industry infrastructure and society are no longer isolated; they are deeply interconnected nodes within a vast dynamic system. Complexity science provides the essential lens to decode these interdependencies moving beyond linear models to understand how shifts in global supply chains the evolution of digital ecosystems and the transformation of mobility directly impact environmental resilience and social cohesion. By analyzing these cross-sectoral links our research aims to bridge the gap between technological innovation and systemic stability. We provide the data-driven foresight required to navigate cascading risks and design robust frameworks for a sustainable inclusive and sovereign future. Prospective researchers will work at this critical intersection turning complex data into actionable insights for long-term societal resilience.
Priority research areas for the current call include:
Key technology sectors and innovation supply chain intelligence systemic risk analysis applied AI integrated transportation networks sustainable mobility sustainable cities socio-ecological modeling and green resilience impacts of climate change social cohesion and tools/methods for handling and analyzing large datasets.
Applicants with more foundational backgrounds should make clear how their work could be applied to questions or problems in one of the above-noted areas.The current call will not support foundational research that lacks a clearly articulated connection to real-world questions.
Priority research areas for the current call include:
Key technology sectors and innovation supply chain intelligence systemic risk analysis applied AI integrated transportation networks sustainable mobility sustainable cities socio-ecological modeling and green resilience impacts of climate change social cohesion and tools/methods for handling and analyzing large datasets.
Applicants with more foundational backgrounds should make clear how their work could be applied to questions or problems in one of the above-noted areas.The current call will not support foundational research that lacks a clearly articulated connection to real-world questions.
YOUR PROFILE
- Doctoral (PhD Doctor or equivalent) degree in the natural physical or social sciences mathematics computer science engineering or related disciplines with a strong quantitative foundation.
- Evidence of successful research productivity journal articles books/chapters conference presentations computational packages databases or dashboards etc. as specific to your discipline.
- Proficiency in English which is the working language of CSH.
WE OFFER
- Development of an independent research program
- Individualized guidance from an international team of advisors
- Scientific leadership and professional development workshops
- Practical experience aligned with career goals in academia government or industry
- Training in ethical and technical facets of working with real-world data
APPLICATION
- Applications are reviewed on a rolling basis. We aim to complete reviews within 6weeks of application receipt.
- Applicants should be available to begin an appointment by 01 July 2026 or in exceptional cases by 01 August 2026.
- Application materials must be submitted through our online portal (linked at the bottom of the page).
- Letters of recommendation must be sent directly to . We cannot accept letters sent by applicants.
- A complete application includes:
- curriculum vitae (CV) including research products / publications
- description of your scientific vision proposed research program and training goals and how these align with the strengths of CSH (max. 4 pages) upload to Cover Letter
- two letters of recommendation from established researchers who know the candidates research well sent directly by the recommender to
Subject: CSH PostDoc - FirstName LastName (of the applicant)
Please contact with any questions.
About us
The Complexity Science Hub (CSH) is Europes 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 75 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 todays and tomorrows challenges.
Key Skills
- Project Management Methodology
- Project / Program Management
- Program Management
- Management Experience
- Microsoft Powerpoint
- Project Management
- Microsoft Project
- Budgeting
- DoD Experience
- Leadership Experience
- Supervising Experience
- Contracts
About Company
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, ... View more
