Guiding & Evaluating Conversational AI in LLMs using Formal Dialogue Models

Guiding & Evaluating Conversational AI in LLMs using Formal Dialogue Models

Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Explore and innovate in conversational AI using formal dialogue models.
  • Company: Join Edinburgh Napier University, a leader in academic research.
  • Benefits: Gain valuable experience in a supportive academic environment with growth opportunities.
  • Other info: Ideal for motivated individuals seeking to make an impact in academia.
  • Why this job: Combine your passion for AI and linguistics to shape the future of human-machine dialogue.
  • Qualifications: Degree in Computer Science with knowledge in Machine Learning and Computational Linguistics.

The predicted salary is between 63000 - 77000 £ per year.

Formal dialogue models have been developed over the last several decades to shed light on the conversational practices of people in a wide range of communicative contexts. More recently, conversational AI has made rapid progress in generating plausible content for human-machine dialogue. Generally, formal approaches to dialogue can be less flexible than ML-based approaches; however, ML-based approaches can easily go off piste and diverge from human expectations. The goal of this project is to bring together the advantages of each approach by using formal models of various types of dialogue to plan, guide, manage, and self-evaluate utterances emitted from the conversational AI.

This project will involve a detailed study of both existing formal dialogue systems as well as state-of-the-art conversational AI. The novel contribution will be a theoretical and applied model that brings together useful elements of formal and ML-based approaches to conversational AI.

Academic qualifications:

  • A first degree (at least a 2.2) ideally in Computer Science with a good fundamental knowledge of Machine Learning, Argumentation Theory, and Computational Linguistics.

English language requirement:

  • IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other equivalent qualifications will be accepted. Full details of the University’s policy are available online.

Essential attributes:

  • Experience of fundamental Machine Learning techniques
  • Competence in ML toolkits, e.g. Scikit-learn, Tensorflow, PyTorch, etc.
  • Knowledge of Argumentation Theory
  • Good written and oral communication skills
  • Strong motivation, with evidence of independent research skills relevant to the project
  • Good time management

Company: Edinburgh Napier University

Level of experience: Senior (5+ years of experience)

Guiding & Evaluating Conversational AI in LLMs using Formal Dialogue Models employer: NLP PEOPLE

RedTech Recruitment Ltd. is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. With a focus on cutting-edge AI research, employees benefit from comprehensive support for professional growth, competitive salaries, and a flexible hybrid working model that promotes work-life balance. Join a team where your contributions to novel NLP and LLM approaches will be valued and recognised, making a meaningful impact in the fast-evolving tech landscape.

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Contact Details:

NLP PEOPLE Recruitment Team

We think you need these skills to ace Guiding & Evaluating Conversational AI in LLMs using Formal Dialogue Models

Machine Learning Techniques
Competence in ML Toolkits (e.g. Scikit-learn, Tensorflow, PyTorch)
Argumentation Theory
Computational Linguistics
Good Written Communication Skills
Good Oral Communication Skills
Independent Research Skills