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Postdoctoral Research Associate in Fluid Mechanics and Machine Learning

University of Reading
Reading
4 months ago
Applications closed

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This is an exciting opportunity to join a collaborative research project between the University of Reading’s School of Pharmacy and the Royal Berkshire Hospital, focused on advancing personalized respiratory treatments! We are looking for a highly skilled and motivated Postdoctoral Research Associate to drive the development of patient-specific lung models through cutting-edge fluid mechanics and machine learning applications.

In this role, you will play a vital part in optimising respiratory drug delivery for diseases such as COPD and asthma. Working within a dynamic, multidisciplinary team, you will develop computational models, analyse drug particle behaviour, conduct Andersen Cascade Impactor (ACI) experiments, and contribute to high-impact publications. This position offers valuable experience in both computational and experimental methods, along with opportunities for collaboration with healthcare and mathematical experts.

The ideal candidate will have:

  • A PhD in Physics, Engineering, or a related discipline
  • Proficiency in Python or MATLAB for computational modelling
  • Strong knowledge of fluid mechanics and respiratory drug delivery
  • Excellent organizational skills and the ability to work effectively within a multidisciplinary team


Please see the job description and personal specification for further details.

The closing date for applications is 23.59 on14 February 2025
Interviews will be held:TBC

We welcome applications from both external and internal candidates. As part of the University’s commitment to professional development, this role can be considered on a seconded basis for current staff members. Internal candidates should discuss this with their line manager prior to applying.

Apply today to contribute to pioneering research with real-world impact!


Contact details for advert

Contact Name: Dr. Hisham Al-Obaidi

Contact Job Title: Lecturer in Pharmacy and Pharmaceutical Sciences

Contact Email address:


By reference to the applicable SOC code for this role, sponsorship may be possible under the Skilled Worker Route. Applicants wishing to consider the SWR must ensure that they are able to meet the points requirement before applying. Successful candidates not already holding a Skilled Worker visa issued before 4th April 2024 will need to have a relevant PhD qualification or qualify as a new entrant before being able to be sponsored.There is further information about this on theUK Visas and Immigration Website.

The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality. Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.

National AI Awards 2025

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