Are you a female looking to change the world through AI? Apply now for a prestigious PhD scholarship here at the University of Warwick.

The Feuer International Scholarships in Artificial Intelligence were established to create a group of extremely talented, academically brilliant, world-leading young researchers who will go on to have careers in the field of trustworthy Artificial Intelligence.

In a male-dominated field, the Feuer Scholarship is specifically looking for female students who can bring their technical skills and innovative approaches to problem-solving to this area.

You can find more about the Feuer Scholarship hereLink opens in a new window. The Feuer International Scholarships in AI offer a generous funding package, including full PhD tuition fees for four years, a maintenance stipend in line with UKRI rates, a Research, Training and Supporting Grant and a research top-up grant.

In order to apply, you should be a female student at Warwick with a first-class undergraduate degree (or about to graduate), a Masters degree with distinction (or on track to achieve that), or international equivalents. You will need to complete the ‘Further Information’ document and provide a CV by 21/11/22 to feuerscholarships@warwick.ac.ukLink opens in a new window

Feuer Scholarship Further InformationLink opens in a new window

Photovoltaic installations have recently reached the terawatt level and this is almost entirely due to the success of silicon-based solar cell technologies. Silicon PV is low-cost and stable for 25+ years, and cell efficiencies are unrivalled by other mass-market single-junction technologies. Improvements in silicon cells will have a real-world impact on climate change mitigation and improving energy supply security.

An exciting opportunity exists to join the Interdisciplinary Collaboration in Systems Medicine (ICSM) Research Group as a doctoral candidate. Working with an international team of clinicians and engineers, you will develop mathematical models of high-flow nasal oxygen therapy (HFNOT), an advanced form of non-invasive respiratory support that is increasingly widely used in the treatment of acute hypoxic respiratory failure (AHRF). Models will be coded in Matlab and incorporated into the ICSM Cardiopulmonary simulator, a world-leading simulation platform that has been in continuous development by our group for over 25 years [1-5].

To develop a modelling framework to predict and translate the pharmacodynamic interaction in oncology for both tumour growth and safety (e.g. thrombocytopenia). The modelling will provide a better understanding and translation of the nature of the interaction of drug combinations in preclinical experiments. The proposed model-based approach will also inform more informative experimental protocols for the ranking of drug combinations based on the underlying pharmacodynamic interactions.

The primary objective of this research is to develop a method allowing to obtain reliable temperature and concentration maps for key components inside the chemical reactor. Then the catalytic reaction will be studied in real-time to determine the reactant conversion and product yields/selectivity as a function of several process parameters (flow rate, catalyst type, pressure etc.).