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"AI Researcher in Data Integration and Generative AI- KTP Associate"

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AI Researcher in Data Integration and Generative AI- KTP Associate

AI Researcher in Data Integration and Generative AI- KTP Associate

Aston University - School of Computer Sci. & Digital Tech.

Location: Worcestershire

Salary: £40,000 per annum

Hours: Full Time

Contract Type: Fixed-Term/Contract

Placed On: 9th October 2025

Closes: 23rd November 2025

Job Ref: 0975-25

Contract Type: Fixed Term (30 months)

KTP Project Summary

This KTP project will enable DeltaXignia to enhance its Compare and Merge software by integrating Artificial Intelligence (AI). Currently, their solution uses mathematical algorithms to identify precise differences in content and data, delivering high-speed performance at scale. The project will explore AI technologies for compare-and-merge applications and assess their relevance and benefits.

Building on these foundations, the project will leverage Generative AI (GenAI) for change insight generation using techniques such as Retrieval-Augmented Generation (RAG)—combining external knowledge with AI output for improved accuracy—and Reinforcement Learning (RL) to optimise outcomes through feedback loops.

The project aims to develop an integrated, AI-enabled compare-and-merge platform. This innovative solution will offer DeltaXignia's customers flexible pathways to manage structured data as it evolves, particularly with the deployment of in-house Large Language Models (LLMs).

Candidate Profile

Essential qualifications and experience:

  • MSc in Computer Science
  • Strong knowledge of data mining, machine learning, deep learning, GenAI (e.g. RAG), and reinforcement learning
  • Experience working with structured data formats (e.g. JSON/XML), and XSLT
  • Advanced Java (Java 8+) proficiency
  • Practical experience in data analytics projects including automatic data annotation, predictive analytics, and prompt engineering
  • Team-based software development experience

Desirable experience:

  • Technical writing and publication skills
  • Knowledge of Data Science techniques, Probability & Statistics, and parsing frameworks
  • Deeper theoretical understanding of AI methods and mathematical foundations
  • Strong documentation and record-keeping skills

Main Responsibilities

  • Evaluate machine learning’s potential in compare and merge applications
  • Use data rehydration to generate synthetic datasets and validate statistical similarity
  • Work with sector-specific customer data, requiring domain-sensitive data augmentation and mining
  • Manage multiple stakeholders, meet deadlines, and integrate project outputs into DeltaXignia’s workflows with training
  • Balance technical development and commercial goals
  • Prototype and test solutions to assess performance
  • Communicate clearly, support collaboration, and explain technical ideas effectively

Personal Attributes

  • Strong interpersonal, communication, and presentation skills
  • Leadership qualities with excellent time management and self-organisation
  • Highly motivated, creative, and adaptable
  • Strong problem-solving skills and attention to detail
  • Independent and team-oriented mindset
  • Keen interest in innovation, new technologies, and data processing techniques

Career Prospects

Around 60% of KTP Associates receive permanent job offers from host companies upon project completion.

This KTP is co-funded by Delta XML Ltd (trading as DeltaXignia) and Innovate UK. Understanding the KTP programme is vital—more details can be found at: www.aston.ac.uk/ktp

The Company

DeltaXignia are leaders in comparison and merging technologies, with products dating back to 2001. Initially focused on XML, they have since evolved significantly. Website: www.deltaxignia.com

The University

You’ll work with Professor Abdul Sadka and Dr Farzaneh Farhadi from Aston University, alongside DeltaXignia’s leadership team, and receive guidance from Innovate UK’s KTP Adviser.

Location:

Based at DeltaXignia (Malvern, Worcestershire), with access to Aston University (Birmingham). Some travel and flexible working are expected.

Contact:

For informal enquiries, email Professor Abdul Sadka: a.sadka@aston.ac.uk

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