Project cooperationUpdated on 20 June 2025
MSCA Staff Exchange in uncertainty quantification and risk
About
We are proposing an interdisciplinary staff exchange network aiming to transform how uncertainty is quantified, modeled, and communicated across key infrastructure domains including nuclear safety, transportation systems, defense and criticality analysis, power grids, and supply chains. The network connects academia, industry, and regulatory institutions to co-develop next-generation risk-informed tools and methods through collaborative secondments, workshops, and demonstrator projects.
The main objective of the proposal is to advance state-of-the-art methodologies in uncertainty quantification (UQ), including surrogate modeling, Bayesian methods, probabilistic risk assessment (PRA), and network-theoretic resilience metrics. This involved transferring knowledge across sectors and countries, creating a shared language of UQ for critical systems.
In turn, the project will support regulators and industry with practical models and decision-support tools for uncertainty-informed safety and resilience assessments and training experts by exposing researchers to applied problems, new domains, and multi-sector expertise through secondments.
Europe faces unprecedented systemic risks — from energy transitions to aging transport systems and fragile supply chains. These risks are inherently uncertain, requiring tools that not only forecast likely outcomes but also quantify the unknown. The MSCA-SA responds by fostering a knowledge ecosystem where uncertainty becomes an asset for proactive planning, robust design, and resilient recovery.
We are particularly interested in non-academic partners.
Stage
- Proposal under Development
Topic
- MSCA-STAFF EXCHANGES
Type
- STAFF EXCHANGES: Looking for Partner/s
Organisation
Similar opportunities
Expertise
- ENV - Environment and Geosciences
- ENG - Information Science and Engineering
- STAFF EXCHANGES: Beneficiary / Associated Partner
- DOCTORAL NETWORKS: Hosting Doctoral Candidates / Secondments / Trainings
- POSTDOCTORAL FELLOWSHIPS: Hosting Postdoctoral Candidates / Secondments / Placements
ANDRES MASEGOSA ARREDONDO
Associate Professor at Aalborg University
Copenhagen, Denmark
Expertise
Reliable Large Language Models Through Ensemble Methods and Wisdom-of-the-Crowds Principles
- PHY - Physics
- MAT - Mathematics
- SOC - Social Sciences and Humanities
- ENG - Information Science and Engineering
- STAFF EXCHANGES: Beneficiary / Associated Partner
- DOCTORAL NETWORKS: Hosting Doctoral Candidates / Secondments / Trainings
- POSTDOCTORAL FELLOWSHIPS: Hosting Postdoctoral Candidates / Secondments / Placements
ANDRES MASEGOSA ARREDONDO
Associate Professor at Aalborg University
Copenhagen, Denmark
Expertise
Probabilistic Machine Learning for Genome Recovery and Microbial Data
- MAT - Mathematics
- LIF - Life Sciences
- ENG - Information Science and Engineering
- DOCTORAL NETWORKS: Hosting Doctoral Candidates / Secondments / Trainings
- POSTDOCTORAL FELLOWSHIPS: Hosting Postdoctoral Candidates / Secondments / Placements
ANDRES MASEGOSA ARREDONDO
Associate Professor at Aalborg University
Copenhagen, Denmark