PostDoc Researcher at UNU-MERIT (modeling): inequality impacts of the green and digital technology
UNU-MERIT is looking for a Research Fellow to work on an Horizon Europe project (ST4TE) studying the relation between the green and digital transitions and inequalities with an agent based, stock-flow consistent (AB-SFC) model.
Job Description
The Research Fellow will contribute to : i) develop a Stock Flow Consistent (SFC) Agent Based Model (ABM) for understanding the complex interactions between income inequality, digital innovations and the green transition; ii) calibrate relevant parameters consistently with evidence on European regions produced in sperate anlaysis within the projects; iii) analyse different digital and green policy scenarios; iv) and run sensitivity analysis on the results. The Research Fellow will extend an existing ABM-SFC model linking structural change, firm dynamics, income and demand distribution, energy technologies and stranded assets.
The Research Fellow will work in collaboration with a team of top scholars in economics of innovation, climate change and finance in a vibrant research environment at UNU-MERIT and Paris 1, and partner organisations. Funding will be available to participate in projects research meetings and workshops to refine the model, as well presenting results at relevant external conferences and workshops. As part of ST4TE, the Research Fellow will have access to several data sources.
The work will lead to publications in top journals led by the Research Fellow.
The Research Fellow will:
- Work on a macro stock-flow consistent agent based model (and code) representing final good, capital good and energy firms, consumers, finance and Government;
- Extend/simplify the model to include:
o Digital technologies in the final and capital good sectors
o Industrial and fiscal policy scenarios
o Financial and carbon instruments
- Calibrate the model and analyse robustness and sensitivity;
- Support the writing of publishable project deliverables in collaboration with project team members;
- Present results at international conferences and submit working papers to journals.
Requirements
The ideal candidate, will have a PhD in Economics or related quantitative social sciences, with expertise on (agent based) modelling. They will have experience with developing and analysing complex models. They may have a background on ecological economics, environmental economics and economics of innovation, and a good understanding of the micro and macro economic relations between structural change on the supply and demand side and climate change.
- A PhD (or near to completion) in Economics or related quantitative social sciences;
- Experience with modelling – with at least some experience with agent based modelling;
- Excellent programming skills;
- Strong attention to detail with good organisation skills; ability to manage multiple, concurrent tasks;
- Evidence of engagement in high-quality research activity;
- Excellent presentation skills, with the ability to communicate effectively, both orally and in writing (in English), with students, colleagues and external audiences;
- Ability to work individually on own initiative and without close supervision, and as part of a team;
- Ability to exercise a degree of innovation and creative problem-solving; excellent organisational and administrative skills; ability to prioritise and meet deadlines.
Desirable:
- Good knowledge of the literature on environmental economics and innovation;
- Emerging track record of high-quality publications in reputable journals and other appropriate media of similar standing;
- Acquaintance with stock-flow consistent models
- Experience with machine learning and other statistical techniques to analyse model properties and sensitivity
- Good data analytics and visualization skills
For full information and to apply, click here.