At a Glance
- Tasks: Join a team developing AI tools to enhance software engineering practices and quality assurance.
- Company: Be part of King’s College London, a leading institution in Software Systems research.
- Benefits: Enjoy a competitive salary, inclusive culture, and the chance to work on innovative projects.
- Other info: This is a full-time role with a fixed-term contract until July 2027.
- Why this job: Contribute to cutting-edge AI research with real-world impact in sustainability and software quality.
- Qualifications: PhD in Computer Science or related field; experience in AI applications for software engineering required.
The predicted salary is between 44000 - 58000 £ per year.
About Us
Join a vibrant world-leading Software Systems research group at the Department of Informatics, King’s College London. We are an international, diverse, and inclusive group of about 40 researchers working on all aspects of software engineering with a particular strength in AI for software engineering, as well as software testing and quality assurance.
About The Role
AI has emerged as a powerful tool assisting and transforming software engineering practices. The ITEA GENIUS project emerges as a collaborative initiative addressing challenges posed by manual-intensive processes and the untapped potential of Generative AI. In the GENIUS project, we aim to develop automated solutions and customized tools to enhance the different phases of the development life cycle, leveraging the advanced capabilities of Generative AI and Large Language Models. These innovative methods and tools will support software engineers with generated software artifacts such as requirements, code, and test cases, comprehensible documentation and guidelines tailored to company-specific data, offer software quality analysis and improvements, and provide recommendations with professional chat functionalities.
This post will particularly concern devising quality assurance and architectural assessment methods, including on sustainability and carbon footprint aspects, empowered by Generative AI. In collaboration with our partners, we plan to develop novel Generative-AI-driven methods and techniques that can assess functionality and architectural properties of large scale software. We plan to assess the sustainability of such methods and measure efficiency and carbon-footprint of the process and the products of our developed techniques.
The research will be carried out in an exciting international project involving many partners within an interdisciplinary team. More information about the GENIUS project can be found on its web page: . The researcher will join the vibrant and world-leading Software Systems (SSY) group at King’s College London.
This is a full-time post (35 Hours per week), and you will be offered a fixed-term contract until 31/07/2027.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- Hold a PhD or about to obtain a PhD degree in Computer Science, Software Engineer, or closely related fields
- Have an established track record of producing high-quality research outputs
- Demonstrate proficiency in the application of AI in software engineering and software quality assurance, testing, validation, and verification
Desirable criteria
- Familiarity with the application of Generative AI in software engineering
- Familiarity with sustainability and decarbonisation models and methods
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click the “Apply” button, above. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further Information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King\'s.
As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.
£51,735 per annum inclusive of London Weighting Allowance
#J-18808-LjbffrResearch Associate in AI for Software Engineering in London employer: King’s College London
At King’s College London, we offer a dynamic and inclusive work environment where innovation thrives. As a Research Associate in AI for Software Engineering, you will be part of a world-leading research group dedicated to advancing software engineering practices through cutting-edge AI technologies. Our commitment to employee growth is reflected in our collaborative projects and diverse team, providing ample opportunities for professional development while contributing to meaningful research that addresses real-world challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in AI for Software Engineering in London
✨Tip Number 1
Familiarise yourself with the latest advancements in AI for software engineering. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with current researchers or professionals in the field of AI and software engineering. Attend relevant conferences or webinars to connect with them, as personal recommendations can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss your previous research experiences in detail, especially those related to AI applications in software quality assurance. Be ready to explain how your work aligns with the goals of the GENIUS project and how you can contribute to its success.
✨Tip Number 4
Showcase your understanding of sustainability in software engineering. Research current trends and methods in decarbonisation models, as this is a key aspect of the role. Being able to discuss these topics will demonstrate your commitment to the project's objectives.
We think you need these skills to ace Research Associate in AI for Software Engineering in London
Some tips for your application 🫡
Understand the Role:Thoroughly read the job description for the Research Associate position. Pay attention to the essential and desirable criteria, as well as the specific responsibilities related to AI in software engineering.
Tailor Your CV:Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your PhD research, any publications, and your proficiency in AI applications within software engineering.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for AI in software engineering and your understanding of the GENIUS project. Mention how your background and research can contribute to the team's goals, particularly in quality assurance and sustainability.
Highlight Collaborative Experience:Since the role involves working in an interdisciplinary team, be sure to mention any previous collaborative projects or experiences. This will demonstrate your ability to work effectively with diverse groups and contribute to innovative solutions.
How to prepare for a job interview at King’s College London
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to AI and software engineering. Highlight any high-quality outputs you've produced and how they relate to the role.
✨Demonstrate AI Proficiency
Make sure to articulate your understanding of AI applications in software engineering. Be ready to provide examples of how you've used AI in past projects, particularly in quality assurance and testing.
✨Familiarise Yourself with Generative AI
Since the role involves Generative AI, brush up on its principles and applications in software development. Discuss any relevant experience you have and be prepared to share your thoughts on its future in the industry.
✨Emphasise Sustainability Knowledge
Given the focus on sustainability and carbon footprint, be ready to discuss your familiarity with decarbonisation models and methods. Show your awareness of how these concepts can be integrated into software engineering practices.
