Postdoctoral Researcher in Structured Dialogue Systems
2 days ago
We are seeking a talented postdoctoral researcher to join our team at RGU as part of an EPSRC-funded project focused on developing structured conversational artificial intelligence.
The successful candidate will investigate and develop novel data annotation schemes, machine learning approaches, and techniques for automated dialogue structure extraction from natural language text.
About the ProjectThe aim of this project is to create innovative theories, tools, and techniques that will support the widespread use of structured models of dialogue in complex domain-specific conversational systems.
This involves developing suitable data annotation schemes, machine learning algorithms, and techniques for automated extraction of dialogue structures from natural language text.
Your Key Responsibilities- Investigate and develop suitable data annotation schemes to automate dialogue structure extraction.
- Develop novel machine learning approaches to automate dialogue structure extraction from natural language text.
- Liaise with industrial and academic partners to deploy practical results in real-world applications.
- Produce high-quality research outputs to disseminate project findings.
- Present project results at conferences.
We require:
- A PhD in an appropriate subject area, such as computer science, artificial intelligence, or linguistics.
- Excellent software development skills, with expertise in machine learning and conversational AI systems.
- Demonstrable experience in machine learning, including evidence of high-quality research publications.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with colleagues and stakeholders.
This role offers:
- A competitive salary of £48,000 per annum, depending on experience.
- The opportunity to work on a cutting-edge project with significant potential impact.
- A supportive and collaborative research environment.
- The chance to contribute to the development of innovative technologies and applications.
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