Research Assistant (AI-Powered Software Engineering & Data Science)

University of Reading; Reading; On-site; GBP 25,000 - 35,000; Full time

Job summary

The University of Reading is looking for a Research Assistant for the AI4SOFTENG project, focusing on AI-powered software development. This fixed-term role requires strong programming skills and a background in AI and Data Science. The position offers an opportunity to contribute to socially responsible software development over a 36-month period.

Qualifications

• Experience in AI-Software Engineering and Data Modelling.
• Knowledge of AI & Data Science techniques.

Responsibilities

• Join the EU-funded AI4SOFTENG project.
• Support advanced AI-powered software development.

Skills

Programming

Communication

Education

Undergraduate or Master’s degree in Computer Science or Engineering

Tools

C++

C#

Java

Python

R

Job description

Job Title: Research Assistant - EU-funded AI4SOFTENG Project

The Department of Computer Science at the University of Reading is seeking to appoint a Research Assistant to join the EU-funded project AI4SOFTENG. The project aims to exploit advanced AI-powered software development support to deliver high-quality, reliable, and fast-to-market software and AI systems that are socially responsible, scalable, sustainable, and compliant with ethical and regulatory standards. This is a fixed-term position for 36 months.

Application Details

Closing Date: 23:59 on 22 May 2025

Interviews will be held: 3 June 2025

Candidate Requirements

1. An undergraduate or master’s degree in Computer Science or an Engineering discipline with computing content, demonstrating experience in AI-Software Engineering and Data Modelling, or equivalent work experience.
2. Programming skills in languages such as C++, C#, Java, Python, R, supported by a strong software engineering background.
3. Knowledge of AI & Data Science techniques, including designing and implementing Machine Learning and Data Mining algorithms, with an emphasis on Security-by-Design.
4. Data Engineering and Visualization skills, especially Layered Dashboard Design.
5. Excellent oral and written communication skills.

Contact Information

Contact Name: Atta Badii

Job Title: Professor, Research Leader

Email: [e-mail]

Alternative Contact: Dr Ferran Espuny-Pujol

Alternative Contact Job Title: Lecturer, Computer Science Department

Alternative Contact Email: [e-mail]

Equal Opportunities Statement

The University is committed to a diverse and inclusive workforce, supports the Athena SWAN Charter for gender equality, the Race Equality Charter, and champions LGBT+ equality. We are a Disability Confident Employer (Level 2). Applications for job-share, part-time, and flexible working arrangements are welcomed and will be considered in line with business needs.