Physics postdoc in the mathematics of innovation
As soon as possible
Supervised by Dr Thomas Fink
Candidates should have a PhD in physics or mathematics with experience in statistical physics or discrete mathematics, and send a CV to email@example.com.
Innovation is to organizations what evolution is to organisms: it is how organisations adapt to changes in the environment and improve. Yet despite steady advances in our understanding of evolution, what drives innovation remains elusive. New mathematical models based on component recombination can help us gain fundamental insight into how organizations and technologies develop. Funded by the BCG Henderson Institute, this postdoc will focus on basic research into the mathematical structure of innovation and its applications.
● T Fink et al., Serendipity and strategy in rapid innovation, Nature Communications, in press (arxiv.org/abs/1608.01900)
● M Reeves, T Fink et al., Harnessing serendipity, Scientific American Observations, 18 May 2017
● M Reeves, T Fink, Harnessing the secret structure of innovation, Sloan Management Review 37, 59 (2017)