Research Fellow (111090-0826)

Duration: Fixed-term contract until 29th February 2028

About the Role  

Informal Queries

• For informal queries, please contact Professor Kurt Debattista atK.Debattista@warwick.ac.uk.

WMG is seeking a talented and highly motivated Research Fellow to advance our research in data science and machine learning, with a specific focus on materials informatics and engineering applications. This role is central to developing robust methods for the collection, handling, and manipulation of complex, multimodal datasets. The successful candidate will drive the creation of innovative AI solutions that bridge the gap between theoretical research and scalable, real-world engineering challenges, ensuring that data-driven models remain grounded in physical principles.

The role holder will lead the design and implementation of advanced deep learning architectures,

to deliver accurate representations of materials properties for use with sophisticated AI models. You will be expected to engineer detailed data pipelines capable of processing information from diverse sensor sources, providing the foundation for reliable and transferable AI models.

About You  

• You will contribute to a developing project portfolio in applying AI solutions to engineering and computing problems.
• You will have a PhD in computer science or a related field. Particularly, candidates should have experience in the following areas:
• A solid foundation in deep learning methods including the computing and statistical principles that found it
• Experience of working with pyTorch (or similar) for solving real-world problems or advancing machine learning solutions
• The ability to process and handle data collected from diverse sensors
• A publication records that demonstrates the above
• Experience in machine learning projects in a collaborative R&D environment (particularly in collaboration with industry) would be advantageous. This exciting role will involve close collaboration with other academics and industrial partners and there will be opportunities for training and career development.

PhD Status

If you are near submission of your PhD, or have not yet had it conferred, any offers of employment will be made at Research Assistant level, at the highest spinal point of pay grade 5 (£34,610 per annum).

Upon receipt of evidence confirming the successful award of your PhD, you will be promoted to Research Fellow, at the lowest spinal point of grade 6 (£35,608 per annum).

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the 'Apply' button.

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