University of Bath
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PhD Studentship in Combined Effect of Ventilation Design and Operation Parameters on Local Ventilation Effectiveness in Naturally Ventilated Spaces University of Bath in United Kingdom
Degree Level
PhD
Field of study
Environmental Science
Funding
Competition-funded PhD studentship at the University of Bath. Studentships are available for Home and Overseas students, though Overseas places are capped under UKRI policy. Funding covers tuition fees, includes a £1,000 per annum training support fee, and provides a maintenance stipend of £21,805 for the 2026/27 rate. International students must cover the Student visa and Immigration Health Surcharge from personal funds.
Deadline
Nov 29, 2026
Country
United Kingdom
University
University of Bath
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About this position
University of Bath, Department of Architecture & Civil Engineering, is advertising a competition-funded PhD studentship on combined effect of ventilation design and operation parameters on local ventilation effectiveness in single-zone naturally ventilated spaces.
The project focuses on natural ventilation, ventilation effectiveness, indoor air quality, energy efficiency in buildings, and indoor airborne disease transmission. It aims to understand how parameters such as window layout, effective opening area, room depth, internal heat gain distribution, and supply air flow rate interact to affect local ventilation effectiveness (LVE). The research will use computational fluid dynamics and machine learning to develop a practical analytical model for ventilation designers and operators.
This PhD is part of a set of studentships in the Faculty of Engineering and Design. If successful, the expected start date is 04 October 2027, with an alternative start date possible by agreement with the supervisors and Doctoral College.
Eligibility: applicants should have, or be about to obtain, a UK Honours degree at 1st or 2.1 level or international equivalent. A master’s degree would be advantageous. Prior experience with finite volume CFD (preferably ANSYS) and machine learning is desirable but not essential. Non-UK applicants not currently studying in the UK must meet the English language requirement before the deadline.
Funding: tuition fees are covered, plus a £1,000 per annum training support fee and a maintenance stipend of £21,805 (2026/27 rate). Overseas students are eligible, but numbers are capped; international students must self-fund the Student visa and Immigration Health Surcharge.
How to apply: submit a formal application via the University of Bath online form for a PhD in Civil Engineering. Quote the project title and Dr Murat Mustafa as intended supervisor, and select University of Bath URSA under Funding Your Studies. Applicants may apply for up to two PhD projects on this programme.
Funding details
Competition-funded PhD studentship at the University of Bath. Studentships are available for Home and Overseas students, though Overseas places are capped under UKRI policy. Funding covers tuition fees, includes a £1,000 per annum training support fee, and provides a maintenance stipend of £21,805 for the 2026/27 rate. International students must cover the Student visa and Immigration Health Surcharge from personal funds.
What's required
Applicants must have, or be about to obtain, a UK Honours degree at 1st or 2.1 level, or an international equivalent. A master's-level qualification would be advantageous. Previous knowledge and skill in finite volume computational fluid dynamics (preferably ANSYS) and machine learning is preferable but not essential. Non-UK applicants who are not currently studying in the UK must meet the programme’s English language requirement before the application deadline.
How to apply
Apply through the University of Bath online application form for a PhD in Civil Engineering. Enter the project title exactly as given and name Dr Murat Mustafa as the intended supervisor. Select 'University of Bath URSA' in the Funding Your Studies section. If applying for two projects, provide the second project title and supervisor in the relevant fields.
More information can be found here
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