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Postdoctoral Research Positions in Economics and Data Science
Advertiser: Department of Humanities, Social and Political Sciences, ETH Zurich
Field(s) of specialization: Law and Economics - Public Economics - Other - Political Economy - Applied microeconomics
Position type(s): Postdoctoral Scholar
Location of job: Haldeneggsteig 4, IFW, Zurich, Switzerland, 8006, Switzerland
Degree required: Doctorate
Job start date: 2025-09-01
Job duration: 1 year
Salary: 105,000 USD
Letters of reference required: 3
Target date for applications: 6 Dec 2024
Application deadline: 31 Jan 2025 midnight UTC (accepting applications)
Posting end date: 31 Jan 2025
Interviews: Interviews will be conducted remotely by video starting December, 2024.
Ad text:

Postdoctoral Research Positions in Economics and Data Science at ETH Zurich

The Department of Humanities and Social Sciences at ETH Zurich is pleased to announce openings for two postdoctoral researcher positions in economics and data science. These positions offer an excellent opportunity to advance independent research within a collaborative, interdisciplinary environment at one of the world’s top research institutions.

About the Positions: We are looking for candidates with a solid background in applied microeconomics who are eager to employ advanced data science techniques. This includes machine learning and deep learning methods, especially within natural language processing (NLP), to tackle critical social and economic questions. This position is ideal for researchers with strong expertise in data-driven methods and a commitment to interdisciplinary, impactful research.

Responsibilities:

  • Lead and participate in all phases of research, including project planning, data analysis, and manuscript preparation.
  • Collaborate closely with team members and engage in extensive international research networks.
  • Present research findings at conferences and contribute to high-impact, peer-reviewed publications.
  • Contribute to the development of grant proposals to secure funding for future research initiatives.
  • Engage in minimal teaching or organizational duties as mutually agreed.

Preferred Qualifications:

  • A PhD in Economics or a related field with an established research background.
  • Proficiency in data science tools, particularly Stata and Python, with a strong foundation in machine learning techniques, including deep learning. Experience in natural language processing (NLP) is highly desirable, given its relevance to complex language data analysis.
  • Strong skills in econometrics and advanced data analysis.
  • Excellent English writing skills

Why ETH Zurich? These roles offer a starting salary of approximately 105K USD (at current exchange rates) and an initial one-year appointment, renewable up to three years based on performance. Located in Zurich, ETH Zurich provides an internationally vibrant research environment with English as the primary working language.

Collaborative Network: The successful candidates will work under the supervision of Prof. Elliott Ash and Dr. Sergio Galletta, alongside a dedicated group of Ph.D. students and research assistants. Our team actively collaborates with prestigious institutions, including the Columbia, MIT, Princeton, Harvard, UCL, LSE, ETH AI Center, University of Zurich, and others, offering numerous opportunities for global networking and research collaboration.

Start Date: The expected start date is September 1, 2025, with flexibility for earlier or laters start dates.

For inquiries, please contact Prof. Elliott Ash at elliott.ash@gess.ethz.ch or Dr. Sergio Galletta at <a rel="noopener">sergio.galletta@gess.ethz.ch.</a>

ETH Zurich is committed to fostering a diverse and inclusive research environment and encourages applications from candidates of all backgrounds.

Application procedure
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Submission materials required
  • Curriculum vitae
  • Job market paper
  • Additional paper (optional)
  • Additional paper (optional)
  • Other material (in one file) (optional)
  • Cover letter
  • Video presentation of job market paper (optional)
  • Letters of reference: 3
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