Postdoctoral Researcher in Complex Systems
Who we are
Exponential Science is a foundation led by visionary founders Dr. Paolo Tasca and Dr. Nikhil Vadgama, who have advanced emerging technologies through education, research, and innovation. Recognizing the power of the convergence of technologies such as blockchain, AI, and IoT to tackle complex multidisciplinary challenges, they founded Exponential Science as a natural evolution of their long-standing work, aiming to strive towards a more inclusive and innovative future for all.
About the Role
Exponential Science is seeking a Postdoctoral Researcher in Complex Systems with a strong scientific background and a passion for interdisciplinary research. The ideal candidate will have experience in modelling, analyzing, and simulating complex phenomena — from networks and collective behaviour to socio-economic systems and emerging technologies.
We are particularly interested in candidates who are eager to apply complex systems science to real-world, industry-driven challenges, translating theoretical insights into actionable outcomes.
This role is part of a broader initiative to explore the dynamics of real-world systems through data, theory, and computation. You'll work at the frontier between complex systems science, AI, and blockchain-based ecosystems, contributing to high-impact projects in a fast-paced, startup-like research environment.
We’re looking for someone who combines analytical rigour with creative thinking, and who thrives in both independent work and collaborative team settings.
Key Requirements
- PhD in Mathematics, Computer Science, Physics, or a related field
- Hands-on experience with Network Science tools and methods
- Proficiency in at least one programming language (e.g., Python)
- Excellent analytical and problem-solving skills
- Ability to work independently and as part of a collaborative research group
Desirable Skills
Background knowledge in one or more of the following areas:
- Blockchain / Cryptocurrencies
- Collective and Emergent Phenomena
- Great communication skills
- Machine Learning and Data Science knowledgs
- Experience working on interdisciplinary or applied research projects
- Experience in writing academic papers and research grants
- Familiarity with startup or innovation-driven environments
Why Join Us
- Work on ambitious and innovative research initiatives
- Contribute to shaping the future of emerging technologies
- Collaborate with top researchers and industry experts
- Competitive salary and flexible work conditions
How to Apply
Applications will be reviewed on a rolling basis and the position will be closed as soon as the right candidate is selected. To apply, please send your CV and a cover letter to hr@exp.science
Exponential Science is an equal opportunity employer.