How to make better economic decisions in complex environments
Marie Skłodowska-Curie
Innovative Training Network

Economic Policy in Complex Environments

Many of the main challenges Europe currently faces, like mitigating climate change, fostering a transition to a low-carbon economy, or governing the development, diffusion of new technologies are difficult to deal with because of their dynamic complex nature.

The Innovative Training Network EPOC aims at advancing the state-of-the-art and the applicability of computationally intensive methods for decision and policy analysis in such complex and uncertain environments. Particular focus will be on the application of such methods in the domains of climate change and innovation. 

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  • Application Deadline:
    January 31, 2021
  • Selection Decisions Announced:
    March 31, 2021
  • Start of Work Contracts:
    September 1, 2021

Whom are we looking for

EPOC is looking for 15 highly motivated doctoral fellows with a genuine interest in a structured, international and interdisciplinary training programme as well as in challenging research work involving applied modelling. Applicants are expected to have finished or being close to finishing a master degree in economics or related subjects, like mathematics, physics, statistics or computer science, with high marks. Gender equality is an important goal in EPOC and the consortium aims for a balanced participation of women and men among the doctoral fellows.

What we provide

Work in EPOC will combine an interdisciplinary research agenda with an innovative European joint doctoral training programme. Doctoral fellows will obtain a graduate education in economics and will additionally gain expertise and skills in data science, network theory and agent-based modelling. They will apply these skills in their individual research projects. EPOC will provide excellent support and working conditions as well as a stimulating international and research-oriented environment.

Doctoral fellows carry out research at two out of seven European partner universities. Upon graduation each doctoral fellow will receive a double doctoral degree from two EPOC universities. In addition, a two-month secondment at a non-academic partner is an integrative part of the training programme. Successful candidates will enter a 36 months full time work contract with the recruiting university of their project.

Candidates are not eligible for a project if they have resided, or carried out their main activity, in the country of the recruiting university of the individual research project for more than 12 months between Sept. 2018 and Aug. 2021.

Individual Research Projects

IRP 01
WP1 / WP2 / WP3
Statistical inference for state-space diffusion processes
IRP 02
WP1 / WP2
Multivariate responses, dependence structures and partial observations
IRP 03
WP1 / WP2
Time-series of functional data
IRP 04
WP1 / WP2 / WP3
Bayesian estimation of agent-based models
IRP 05
WP1 / WP2
Expectation formation and machine learning
IRP 06
WP1 / WP2
Mental models, disruption and repair
IRP 07
Network-based measures of climate risks and liabilities
IRP 08
WP2 / WP3
To reduce or to modify?
Adapting energy use to deal with climate change
IRP 09
Identifying optimal conditions for creating stable future electricity markets
IRP 10
WP2 / WP3
Modelling the evolution of low-carbon lifestyles
IRP 11
WP2 / WP3
Modelling the interaction of information provision and carbon pricing to encourage a low-carbon transition
IRP 12
WP2 / WP3
The dynamics of innovation in production networks
IRP 13
Picking the winners?
The role of public investment for technological change
IRP 14
Financial innovation and monetary policy in a complex environment
IRP 15
WP2 / WP3
Innovation and sustainable growth


Related Publications
2020 / Corrocher N., G. Cecere and M. L. Mancusi
Financial constraints and public funding of eco-innovation: Empirical evidence from European SMEs
Related Publications
2021 / Konc T., I. Savin and J. van den Bergh
The social multiplier of environmental policy: application to carbon taxation
Related Publications
2020 / Bao, T., M. Hennequin, C. Hommes and D. Massaro
Coordination on bubbles in large-group asset pricing experiments


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