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Solving the problem of hiring in STEM

The way in which researchers, scientists and engineers apply for jobs is very inefficient. Creating free online databases of candidates with filtering, ranking and video features could help to maximize reach and identify the most suitable person for each job offer much faster.

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Fig. 1: Illustration of the structure of the proposed online database of researchers.

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Correspondence to Mario Lanza.

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Competing interests

M.L, N.G. and V.Z. are members of the Workforce Advisory Board of the Semiconductor Research Corporation (USA), which aims to support talent recruitment for semiconductor ecosystem. M.L. has economic interest in the platform Web of Talents.

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Google Scholar: https://scholar.google.com/

Graduate Research Fellowship Program: https://www.nsfgrfp.org/

Linkedin: https://linkedin.com

National Science Foundation Engineering Postdoctoral Fellowships: https://efellows.asee.org/home

Semiconductor Research Corporation: https://www.src.org/about/

Stanford Budgeting Postdoc Fellowship guidelines: https://postdocs.stanford.edu/budgeting-postdoc-fellowship

Stanford Estimated Expense for Graduate Students: https://www.nsfgrfp.org/

UpWork: https://upwork.com

Web of Talents: https://weboftalents.com

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Lanza, M., Godfrey, N. & Zhirnov, V. Solving the problem of hiring in STEM. Nat Rev Electr Eng (2024). https://doi.org/10.1038/s44287-024-00056-3

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  • DOI: https://doi.org/10.1038/s44287-024-00056-3

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