03/05/2021

PhD Position in Economics


  • ORGANISATION/COMPANY
    Tallinn University of Technology
  • RESEARCH FIELD
    Economics
  • RESEARCHER PROFILE
    First Stage Researcher (R1)
  • APPLICATION DEADLINE
    31/05/2021 23:00 - Europe/Brussels
  • LOCATION
    Estonia › Tallinn
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    40
  • OFFER STARTING DATE
    01/09/2021

OFFER DESCRIPTION

Tallinn University of Technology, School of Business and Governance, Department of Business Administration offers a 4-year PhD position in economics.
Proposed doctoral thesis topic: "Industrial Strategy and Competitiveness Research Using Innovative Data Analytics"

Supervisors: Adjunct Professor Tarmo Kalvet and Senior Researcher Marek Tiits

Summary
A research team working on industrial strategy and competitiveness using innovative data analytical methods and tools is looking for a PhD student interested in economic complexity and global value chains. The PhD student would join the two on-going international projects, carried out in co-operation with outstanding research partners.

Description

The research group is driven by the understanding that the living standard of nations depends fundamentally on their ability to earn export revenues. The dependence on foreign trade is especially obvious for small(er) economies. However, not all products are the same in terms of their potential to contribute to the increase in living standards. Evolutionary economics maintains that in order to increase living standards, nations should increase the knowledge intensity of products. Research on economic complexity operationalises this by focusing on the ubiquity and relatedness of products, and the analysis of potential pathways for entering more complex product groups. Open-data, big-data, and other novel data science approaches are currently seen as transforming the landscape for socio-economic policy and research, as well as for business management and decision-making.

The objective of the research project is to develop research methods, with a particular focus on advanced data analytics skills to be exploited to conduct improved analysis of global value chains (GVCs) and clusters, and to identify and analyse the impact of relevant public policies.

As part of the CatChain project (“Catching-Up along the global value chain: business models, determinants and policy implications in the era of the Fourth Industrial Revolution”, 2018-2022), fully funded short term research trips (in total up to 12 months) to Seoul National University (South Korea), University of Malaya (Malaysia), University of Campinas (Brazil) and to our other strategic research partners, are available and highly encouraged.

The researcher will be also part of the H2020 project “Industrial Strategy and Competitiveness Studies at TalTech” (2020-2023). This project develops strategic partnership between TalTech as the beneficiary, and Bocconi University (Italy), Aalto University (Finland) and NESTA (United Kingdom).

More Information

Offer Requirements

  • REQUIRED EDUCATION LEVEL
    Economics: Master Degree or equivalent
    Political sciences: Master Degree or equivalent
  • REQUIRED LANGUAGES
    ENGLISH: Good

Skills/Qualifications

The applicants should fulfil the following requirements:

  • Master’s degree in economics or policy/governance studies or ICT
  • Very good command of English
  • Very good qualitative and quantitative (such as R) research skills

Specific Requirements

The information for the PhD admission is available at TalTech’s web-page: https://www.taltech.ee/en/phd-admission

Required application documents:

  • CV
  • Motivation letter
  • Degree certificates
  • Copy of the passport

Map Information

Job Work Location Personal Assistance locations
Work location(s)
1 position(s) available at
Tallinn University of Technology
Estonia
Tallinn
12618
Akadeemia tee 3

Open, Transparent, Merit based Recruitment procedures of Researchers (OTM-R)

Know more about it at Tallinn University of Technology

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EURAXESS offer ID: 635816

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