Scegli la tua regione

Seleziona la regione che meglio si adatta alla tua posizione o alle tue preferenze.

Scegli la lingua del sito

Questa impostazione controlla la lingua dell'interfaccia utente, inclusi i pulsanti, i menu e tutto il testo del sito. Seleziona la tua lingua preferita per la migliore esperienza di navigazione.

Scegli le lingue per gli annunci di lavoro

Seleziona le lingue per gli annunci di lavoro che desideri vedere. Questa impostazione determina quali annunci di lavoro ti verranno mostrati.

Marie Skłodowska-Curie Innovative Training Network: Economic Policy in Complex Environments (EPOC)

Marie Skłodowska-Curie Innovative Training Network: Economic Policy in Complex Environments (EPOC)

Visita il sito web

Informazioni sul datore di lavoro

How can we improve methods for analysing complex dynamic patterns in a globalized world and for making good economic decisions in such complex environments?

EPOC aims at developing and applying such methods relying on a productive combination of approaches from different research areas, in particular data science, network theory and agent-based simulation. These methods will be applied for economic policy analysis with particular focus on policies governing processes of technological change and addressing the challenges of climate change.

EPOC combines a structured, interdisciplinary and inter-sectoral training programme with cutting-edge research projects in these areas.-

KEY RESEARCH AIMS

  • Provide suitable approaches for sound statistical inference and change-point detection from high-dimensional time-series with complex dependence structure.
  • Develop advanced approaches for a rigorous empirical foundation and estimation of rich heterogeneous agent models incorporating local interaction as well as global dynamics.
  • Construct agent-based models to address pressing questions regarding climate policy as well as innovation policy, taking into account effects of social networks and bounded rationality of firms and consumers.
  • Gain a better understanding of the interplay of policy measures with social influence processes, like the diffusion of information and lifestyles, for the success of new (notably low-carbon) technologies.
  • Explore how economic linkages and production networks contribute to the propagation of economic and environmental risks.
  • Improve our perception of the role of active public policy and market regulation in steering the direction and sustainability of technological change.

TRAINING OBJECTIVES

  • Provide the necessary interdisciplinary background and perfect environment to advance the state-of-the-art and the applicability of computationally intensive methods for decision and policy analysis in complex environments.
  • Application and use these methods in order to address concrete policy issues related to climate change and innovation policy.
  • Complement the focussed training in the key areas of EPOC with a solid general graduate education in Economics.
  • Facilitate the early development of an own research profile as well as the ability for critical reflection on own and others’ research.
  • Foster the interaction with different research environments as well as with non-academic environments and integrate the doctoral fellows in the relevant international communities.
  • Provide a basis of a successful career in the academic or non-academic sector or to launch an own company supported by a variety of soft skill training.
  • Facilitate female career perspectives by regular meetings and discussions on challenging questions for female researchers

Sede del datore di lavoro

Trova datori di lavoro affini

Fraunhofer-Gesellschaft
Fraunhofer-Gesellschaft Germania 2 posizioni aperte
University of Cologne
University of Cologne Germania 41 posizioni aperte
Helmut Schmidt University
Helmut Schmidt University Germania 9 posizioni aperte
Leibniz Institute of Polymer Research Dresden (IPF)
Leibniz Institute of Polymer Research Dresden (IPF) Dresda, Germania 4 posizioni aperte
Altri datori di lavoro

Questo potrebbe interessarti