Post-doctoral researcher in economics/statistics/computer science
Advertiser: School of Business, Örebro University
Field(s) of specialization: Econometrics - Labor; Demographic Economics - Other
Position type(s): Postdoctoral Scholar
Location of job: Fakultetsgatan 1, Örebro, 70182, Sweden
Degree required: Doctorate
Job start date: Flexible
Job duration: 2 years
Letters of reference required: 3
Application deadline: 4 Apr 2022 midnight UTC (no longer accepting applications)
Current search status: Reviewing applications
Posting end date: 30 Jun 2022
Interviews: Interviews will be conducted remotely by video
Ad text:

About the Lab:

The AI-Econ Lab (AIEL) at Örebro University, Örebro, Sweden, is an international and interdisciplinary research lab that spans several countries and disciplines, including economics, computer science and statistics. Our focus is on how rapid progress in artificial intelligence (AI) changes the nature of work and especially for white collar workers and in services.

Position Description:

For a new research project in the field of AI and the labor market, we are looking for a postdoctoral researcher in economics, statistics, or computer science. The project studies organizations' and employees' exposure to and adaptation to different types of AI in several countries and for decades. We will combine methods from economics, statistics and computer science and use a unique and comprehensive data material at the micro level. The duties are about being involved in the research process, from processing microdata, over designing, conducting and interpreting comprehensive quantitative analyses of the microeconomic effects of AI, to report the results by writing / co-authoring manuscripts for high-quality scientific journals. The duties for this position include doing them in close collaboration with the responsible project manager and in collaboration with other related researchers. You are also expected to actively contribute to the research environment at the lab.

We are looking for you who, in addition to a relevant doctoral degree, also have previous experience of and very good ability to handle and microeconometrically analyze large databases. This includes previous experience and a very good ability to work with large data sets in, for example, Stata and SQL / Python, as well as to use microeconometric methods, preferably in combination with machine learning. Your background can predominantly be in labor economics or in quantitative analysis using machine learning techniques. A background in international economics or technological development / innovation can also be an advantage. Experience of working with administrative data and text-based analysis is an advantage.

You should also have and demonstrate:

• Motivation to conduct internationally competitive research

• A strong mathematical background

• A track record of high-quality manuscripts / publications in labor economics, machine learning, international economics or technological development / innovation

• A strong interest in the project's research area

• Excellent ability to conduct empirical research

• Excellent programming and data management skills

• Excellent written and oral communication skills in English

We also place emphasis on your personal qualities, your own scientific drive and curiosity, ability to work independently, in a structured way, and accurately within agreed time frames.

This is a fixed-term full-time position for two years. Funding is provided through a scholarship from a Swedish research foundation and via the research institute Ratio, Stockholm, Sweden.

For further information about AI-Econ Lab and Örebro University, please see our web sites:

To apply for the position, please make sure that you provide the following through

- Cover letter

- Curriculum vitae (CV)

- Transcript

- Job market paper

- 3 letters of recommendation

Those qualified for appointment as a postdoctoral researcher are applicants who have been awarded a doctoral degree in economics, econometrics, statistics or data science. PhD or anticipated completion by June 2022 is required.

For enquiries, please contact associate professor Magnus Lodefalk (magnus.lodefalk(at)

Early applications are encouraged as the reviewing process is continuous. Interviews will be virtually conducted.

Application deadline: April 4, 2022

Submission materials required
  • Cover letter
  • Curriculum vitae
  • Job market paper
  • Transcript of grades
  • Letters of reference: 3
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