Login | Sign up

Senior Research Associate in complexity economics

Overview of the Role

The Institute for New Economic Thinking at the Oxford Martin School and the Mathematical Institute are looking for an outstanding scholar to contribute to a new project focusing on understanding macroeconomics, financial stability and long-run technological change from the bottom-up using micro-level data and complex systems methods. The project will develop new models of the global economy using network analysis, agent-based modelling and other approaches.

The post holder will report to Professor J. Doyne Farmer, who is Complexity Economics Programme Director and Principal Investigator on the project. The post holder will be an expert in the field of complexity economics and will act in a leadership role within the Complexity Economics Group, which consists of eight postdocs and twelve DPhil students, as well as visitors. The post holder will provide day-to-day supervision for research assistants and will be responsible for their own grant funded research project within a discrete area of the wider research programme.

Applications are invited from scholars with a completed post-doctoral experience and a proven track record of research at a high standard within economics, finance, complex systems, data science and applied mathematics. The post holder will be entitled to office space at the Institute for New Economic Thinking.

Responsibilities/duties

  • Develop research questions within the scope of the project, conduct individual research, analyse detailed and complex qualitative and/or quantitative economic, financial and technology-related data from a variety of sources
  • Develop and implement new research datasets, methodologies and materials
  • Regularly write research articles for peer-reviewed journals, as well as book chapters andreviews as appropriate
  • Present papers at conferences, and lead seminars to disseminate research findings
  • Agree clear task objectives with the Programme director, the Lead Researcher and the Research Assistants
  • Organise and delegate work to other members of the team and coach other members of the group on specialist methodologies or procedures
  • Raise research funds through grant applications and manage own area of a larger research budget
  • Share responsibility for shaping the research group’s plans and the writing of group- funding applications for new research projects
  • Represent the research group at external meetings/seminars, either with other members of the group or alone
  • Carry out collaborative projects with colleagues in partner institutions, and research groups


Essential selection criteria

  • Hold a relevant DPhil in Economics, Applied Mathematics or related area with post- qualification research experience
  • Strong publication record and familiarity with the existing literature in economics, networks, complex systems and data science
  • Possess sufficient specialist knowledge in the discipline to develop research projects and methodologies
  • Ability to independently plan and manage a research project, including a research budget
  • Ability to raise research funds through making grant applications
  • Ability to interact with researchers from different disciplinary background working on different aspects of economics and technological change using quantitative methods

Desirable selection criteria

  • Experience with Input-Output economics, firm-level data, financial networks, and/or theories of inflation, endogenous business cycles, and long-run economic growth
  • Knowledge of the theory of complex systems, including networks and agent-based modelling
  • Experience of supervising staff
  • Experience of managing a research budget
  • Experience of making grant applications
CountryUnited Kingdom
LabOxford
Starts on01/10/2019
Duration/Period3 years
Deadline18/02/2019 12:00
Linkhttps://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=138222
Keywordscomplexity economics; macroeconomics; innovation;

Recover your password

Please, provide the email you used to register. We will send an email to that address with a link that will take you to the reset password page. After resetting your password you will be automatically logged in to the system.

Already a member?

If you had an account on the old website, please provide the email you used to register there. After resetting your password you will be automatically signed in to the system.

Already have an account? Log in