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".