The Data-Driven Engineering Research Centre advertises job positions from PhD students to Senior Research Associates and Post-docs, subject to available funding.
In general, applicants for a PhD should have a strong academic track record (a first-class, or equivalent) in a scientific, mathematical, or engineering discipline. Background in computational physics / mathematics and scientific computing are an advantage. Applicants for a post-doc should have a PhD in a scientific, mathematical, or engineering discipline with a solid publication record. Depending on the job description, a job position might have different requirements for the candidate to meet.
Open positions:
Currently, there are no open positions.
Past positions:
- 1/12/2022. One postdoctoral position in Quantum algorithms for the simulation of turbulent flows funded by UKRI New Horizons.
- 1/6/2022. One fully-funded PhD studentship in Physics-aware machine learning for multi-physics flows.
- 04/2022. Fully-funded post-doc position in "Physics-aware machine learning for exascale fluid mechanics" funded by UKRI/EPSRC
- 01/2022. Fully funded post-doc in "Research Associate in machine learning for multi-phase flows", funding from EPSRC, Programme Grant PREMIERE
- 09/2021. Fully funded PhD studentship "Research Assistant in Physics-aware machine learning", funding from (ERC) starting grant, PhyCo project.
- 09/2021. Fully funded PhD studentship "Research Assistant in Physics-aware data assimilation", funding from (ERC) starting grant, PhyCo project.
- 09/2021. Fully funded post-doc position in Physics-aware of machine learning for flow optimization, funding from (ERC) starting grant, PhyCo project.
- 09/2021. Fully funded PhD studentship “Physics-aware machine learning for complex flows”, funding from EPSRC
- 09/2021. Fully funded PhD studentship “Physics-aware machine learning for flow reconstruction”, funding from EPSRC.
- 04/2021. Fully funded EPSRC-DTP PhD studentship in "Physics-aware machine learning for turbulence".