Publisher
source

Manchester Metropolitan University

PhD Opening in Automated Testing and Bug Fixing of Formal Methods Tools The Manchester Metropolitan University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

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Country

United Kingdom

University

Manchester Metropolitan University

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Keywords

Computer Science
Machine Learning
Information Technology
Software Engineering
Formal Methods
Automated Reasoning
Programming Languages
Automated Testing

About this position

The Manchester Metropolitan University is offering a PhD student position in the area of automated testing and bug fixing of Formal Methods tools. This high-impact project is supervised by Professor Suzanne Embury and Senior Lecturer Amira Ahmed, both of whom have expertise in computing, business intelligence, and technical training. The research will focus on improving the soundness and reliability of formal methods tools, with an emphasis on automated reasoning, programming languages, software engineering, and machine learning.

Applicants should have a strong background in one or more of these areas and a passion for ensuring the reliability of software systems. The project is ideal for candidates interested in formal verification, software quality assurance, and the development of robust computational tools. The university provides a vibrant research environment and opportunities to collaborate with leading experts in the field.

While funding details are not specified, interested candidates are encouraged to reach out to the supervisors or follow the provided LinkedIn links for more information. The application deadline is not mentioned, so early inquiries are recommended. This position is suitable for those seeking to advance their expertise in computer science and information technology, particularly in the context of formal methods and automated software testing.

Funding details

Available

What's required

Applicants should have a strong background in automated reasoning, programming languages, software engineering, or machine learning. Passion for ensuring the soundness and reliability of formal methods tools is essential. No specific degree or GPA requirements mentioned, but a relevant undergraduate or master's degree is implied.

How to apply

Interested candidates should contact the supervisors or follow the LinkedIn post for further instructions. No specific application link or process is provided.

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