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Start-ups & Scientific Publications


   School of Management

  ,  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

All successful applicants may elect to apply for a range of competitive PhD studentships we offer, guidance for which can be found here: https://www.bath.ac.uk/campaigns/find-funding-for-doctoral-research/

Self funded applications will also be considered.

The project: Established firms are known to reap many benefits from publishing and to play an important role for the accumulation of scientific knowledge. Examples in artificial intelligence (e.g. Deepmind) or biotechnology (e.g. Biontech) show that startups can be central to both the commercialization and development of key scientific and technological advancements. Startups contribute to many societal and technological advancements, and are often in a position to make strong contributing to the scientific literature. We set to explore three broad themes: (1) Attention received by startup publications, (2) Language of startup publications, and (3) Startup scientists. Applicants interested to work with complex datasets and preferably with programming skills (phython, stata, R) are particularly encouraged to apply. 

Preferred start date: October 2023

Application criteria: You should have at least a 2:1 at undergraduate level (or its international equivalent). Your background can be in any subject, not just management.

  • Basic understanding of data cleaning and data analysis principles
  • Motivation to learn the necessary tools (e.g. programming, econometrics etc)
  • Outstanding academic record 

How to apply: https://www.bath.ac.uk/guides/how-to-apply-for-doctoral-study/


Funding Notes

All successful applicants may elect to apply for a range of competitive PhD studentships we offer, guidance for which can be found here: View Website
Self funded applications will also be considered.

How good is research at University of Bath in Business and Management Studies?


Research output data provided by the Research Excellence Framework (REF)

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