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We have 35 Software Engineering (applied) PhD Projects, Programmes & Scholarships

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Software Engineering (applied) PhD Projects, Programmes & Scholarships

We have 35 Software Engineering (applied) PhD Projects, Programmes & Scholarships

Study Engineering in the USA with the George Washington University

Doctoral students comprise the backbone of research conducted at the School of Engineering & Applied Science. Through funding support from faculty, internal and external grants, doctoral students can expect to take 4-6 years to complete the program through coursework, research credits and writing their dissertation. Read more

State estimation for fault diagnosis and fault-tolerant control of redundant robotic systems

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Enhancing long-term evaluation and monitoring of responsible AI deployments in medical context

The University of Aberdeen is an internationally recognised centre for excellence for research addressing the global challenges of energy transition, environment and biodiversity, social inclusion and cultural diversity, health, nutrition and wellbeing, and data and artificial intelligence. Read more

SALE-Auto: Safety Assurance for Learning-Enabled Autonomous Systems

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Python Program Model-Checking/Verifying Python Agents

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Formal Verification of Robot Teams or Human-Robot Interaction

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

End-to-end Methods for the Verification of Autonomous Planetary Deployments

CRADLE is an EPSRC funded Prosperity Partnership that brings together the industrial experience that Jacobs have in applied robotics and autonomous systems (RAS) with the research expertise at the University of Manchester in this field. Read more

Doctor of Engineering (EngD) - Image capture and multimodal AI for interactive radiology assistance (Canon Medical and University of Edinburgh)

  Research Group: CDT in Applied Photonics
The EngD is an alternative to a traditional PhD aimed at students wanting a career in industry. Students spend about 75% of their time working directly with a company in addition to receiving advanced-level training from a broad portfolio of technical and business courses. Read more

Advanced brain-computer interface

A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns of brain activity associated with a volitional thought onto signals suitable for communication and control. Read more

Causal Machine Learning in Aerospace PhD

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more
Last chance to apply

Development of a highly innovative label-free & deep-learning based analysis method: Histoplasmonic Tissue Cytometry

The doctoral candidate (DC) will perform applied research in bioinformatics, i.e., the extraction of numerical values from biological samples, by engaging deep learning technologies to microscopic images with the aim to develop a novel solution for future clinical diagnostics of cancer. Read more

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