One funded PhD position is open on Argument Mining for Argumentation-based Decision Making project. Please send me an email if you are interested.
Funded by: Edinburgh-Huawei Research Lab
Eligibility: UK/EU only
Start date: September 2021
Artificial intelligence (AI) has great potential to assist people in making well-informed decisions. However, there are some challenges to consider: (i) humans deal with huge amount of heterogeneous data before making a decision, (ii) humans may be willing to use an AI-based system as a decision-support tool, when AI provides rationales underlying the recommendations. This calls for new techniques that could analyse data automatically, compute the possible outcomes and provide explanations to make the reasoning process transparent.
In this project, we propose a new methodology that will extract data from different information sources, transform them into structured arguments for and against particular opinions, then present arguments together with explanations. For this, we will combine logic-based approaches, such as computational argumentation, together with machine learning (ML) approaches, such as argument mining. Our claim is that the combination of both approaches could help us to develop a robust decision-support framework to assist humans in their decision-making.
One Post-doc position is open to work on CONTEXT project , which is one of the inaugural projects supported by REPHRAIN, the National Research Centre on Privacy, Harm Reduction and Adversarial Influence Online. Please send me an email if you are interested.
The position is open to artificial intelligence (AI) researchers with a promising publication record who have a PhD, or are close to completing their PhD, in computer science or closely related field. Good knowledge in multi-agent systems, knowledge representation and reasoning, and the privacy domain; are particularly valuable.
The project involves research on the development of AI techniques to protect individuals in online systems such as social networks or IoT systems. The core model will focus on the use of contextual features that are important in making privacy decisions while considering privacy preferences of the stakeholders.
You will be expected to: (i) Develop a formal representation of privacy contexts in a formal representation language (e.g. Description Logics), (ii) Model use-case scenarios with the proposed formal representation, (iii) Develop an agent-based PET that will act on behalf of an individual to preserve her privacy, and the individual will provide feedback to improve the performance of her agent. Moreover, you will collaborate with other researchers in the project to produce high quality publications and demonstrations.
Duration: 1 year
Start date: June 2021 (latest)
Application link: https://edin.ac/3r4lEEM (apply by 26/3/2021)