Skip to main content

Skill-Sets for Prospective Careers of Highly Qualified Labor

  • 309 Accesses


Until recently, the career prospects of engineers and researchers have changed considerably. The chances of getting a permanent job, of getting a good position at a university or research center depend not only on one’s academic degree but also on individuals’ experience, competencies, and portfolio. Skills received during the period of study at the university or dissertation research can no longer be considered as sufficient for career. Lifelong learning is becoming the dominant model and should become an integral part of all career plans by means of constantly updating and developing the individuals’ “portfolio of competencies.” At the same time, successful companies should focus not on the staff but on the organizational stock skills, i.e., the aggregate “portfolio of competencies” of employees with different professions, which allows the company to formulate for specific tasks and projects different sets of competencies required in each specific case.

The chapter analyzes the most in-demand and dynamically changing sets of competencies in two high-tech areas – robotics and biotechnology.

This is a preview of subscription content, access via your institution.


Download references


The book chapter is based on the study funded by the Basic Research Program of the National Research University Higher School of Economics (HSE) and by the Russian Academic Excellence Project “5-100.”

Author information

Authors and Affiliations


Corresponding author

Correspondence to Dirk Meissner .

Editor information

Editors and Affiliations

Section Editor information

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this entry

Verify currency and authenticity via CrossMark

Cite this entry

Shmatko, N., Gokhberg, L., Meissner, D. (2020). Skill-Sets for Prospective Careers of Highly Qualified Labor. In: Zimmermann, K. (eds) Handbook of Labor, Human Resources and Population Economics. Springer, Cham.

Download citation

  • DOI:

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57365-6

  • Online ISBN: 978-3-319-57365-6

  • eBook Packages: Springer Reference Economics and FinanceReference Module Humanities and Social Sciences