Alle Stellen

The KOF Swiss Economic Institute at ETH Zurich is Switzerland’s leading institute for applied economic research. The Research Division Macroeconomic Forecasting and Data Science analyses and forecasts the Swiss and international economy, producing KOF’s short- and medium-term macroeconomic outlooks using macroeconometric models, indicators and survey information. The division combines macroeconometric modelling with data science methods for nowcasting, high-frequency indicators construction, machine learning, time series econometrics, and maintains the data and tools that feed the regular KOF macroeconomic forecasts.

Tasks

  • Participate in the preparation of the international economic outlook as part of the quarterly publication of KOF economic forecasts
  • Pursue an excellent PhD dissertation in applied macroeconomics, macroeconometrics, or economic nowcasting and forecasting
  • Develop, implement, and evaluate new forecasting and nowcasting models using econometric and machine learning methods
  • Analyse large-scale macroeconomic and high-frequency datasets to improve economic forecasting
  • Develop and maintain reproducible code, data pipelines, and research software

Requirements

  • Excellent academic results and motivation to produce high-quality, policy-relevant research
  • Hold (or will have completed at the time of appointment) a Master’s degree in Economics, Econometrics, Data Science, Statistics, or a closely related quantitative field
  • Solid knowledge of and strong interest in economics and economic policy issues
  • Excellent quantitative and programming skills: strong knowledge of time series econometrics, forecasting methods, or a strong interest in acquiring those
  • Experience or strong interest in working with large and/or real-time datasets, nowcasting, and forecasting evaluation
  • Excellent verbal, written, and visual communication skills
  • Enjoy collaboration and have a compelling writing style in German and English
  • Good command of German is a prerequisite for this position
  • Knowledge of French or Italian is an asset

Benefits

  • Internationally competitive employment conditions at ETH Zurich
  • Starting date is negotiable
  • Position initially offered for 18 months, with the prospect of extension for the normal four- to five-year duration of the doctorate, subject to satisfactory progress
  • Opportunity to pursue a high-quality PhD at a renowned institution and to work in a dynamic and collaborative research environment
  • Gross salary in accordance with the regulations of ETH Zurich
  • Numerous benefits, a wide range of sports activities organised by the ASVZ, and childcare
  • Health benefits: discounts on health-related services
  • Access to a flexible working environment: opportunities for flexible working hours and a supportive learning environment
  • Support for training and further education initiatives to enhance employability
Bist du Teil dieses Unternehmens?

Dieses Unternehmensprofil wurde automatisch erstellt. Wenn du für ETH Zürich arbeitest, kannst du das Profil jetzt beanspruchen und verifizieren – kostenlos und in wenigen Minuten.

Verifizierte Profile erhalten ein Siegel und können ihre Seite, Stellen und Bewerbungen direkt verwalten.
Über uns
Die ETH Zürich ist eine technisch-naturwissenschaftliche Hochschule des Bundes mit Sitz in Zürich. Wir betreiben Lehre, Forschung und Wissenstransfer in Bereichen wie Ingenieurwissenschaften, Naturwissenschaften, Architektur, Mathematik, Informatik, Management sowie Sozial- und Geisteswissenschaften. Unsere Ausbildung umfasst Bachelor-, Master-, Doktorats- und Weiterbildungsangebote und ist eng mit internationaler Spitzenforschung verbunden. Als Teil des ETH-Bereichs entwickeln wir wissenschaftliche Grundlagen, Technologien und Lösungen für Gesellschaft, Wirtschaft und globale Herausforderungen.
Das Team

The position is within the Research Division Macroeconomic Forecasting and Data Science at the KOF Swiss Economic Institute, ETH Zurich, offering a dynamic and collaborative research environment.

Ähnliche Stellen