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 on
14 February 2025 Interviews will be held:
25 February 2025
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: h.al-obaidi@reading.ac.uk
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.
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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 on
14 February 2025 Interviews will be held:
25 February 2025
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: h.al-obaidi@reading.ac.uk
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.
#J-18808-Ljbffr
