Please note the strict deadline for application is 30th September 2023. Applications received after this deadline will not be considered.
Please see below for details on how to apply.
As an ADAPT researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multidisciplinary ecosystem across 8 leading Irish universities. We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities. Specifically, we offer:
The project is based in the Transparent Digital Governance Strand of the ADAPT centre. We study the changing nature of technology, especially AI, and how it impacts society in terms of value and risk that it poses.
The current hiring is directed towards a project on psychology of Artificial Intelligence, where we aim to understand if psychological profiles of AI could be created that could help understand the outputs in a more deterministic manner. This would allow a higher level of trust in the AI tools, making the results more explainable.
The researcher would be working in the team on cutting edge theories and tools to write papers, develop psychometric tests, perform statistical analysis and learn about psychological aspects of AI. The researcher would be trained in various aspects of AI governance and management and publish papers in these topics to prepare for a career in either academics or industry, with both sectors needing trained professionals in this domain.
€42,783 – 49,177
(Appointment will be made on the IUA Post-Doctoral Researcher PD1 Pay Scale Level 2A at point 1-6, commensurate with experience)
Interested candidates can submit their application via the following link: https://forms.gle/geY8NNFZw5Zys3hY7
Applications must include the following files as a single PDF:
Informal enquiries about the role can also be sent to Dr. Ashish Kumar Jha, [email protected].
ADAPT is committed to achieving better diversity and gender representation at all levels of the organisation, across leadership, academic, operations, research staff and studentship levels. ADAPT is committed to the continued development of employment policies, procedures and practices that promote gender equality. On that basis, we encourage and welcome talented people from all backgrounds to join ADAPT.
ADAPT is the world-leading SFI research centre for AI Driven Digital Content Technology, coordinated by Trinity College Dublin and based within Dublin City University, University College Dublin, Technological University Dublin, Maynooth University, Munster Technological University, Technological University of the Shannon, and the University of Galway. ADAPT’s research vision is to pioneer new forms of proactive, scalable, and integrated AI-driven Digital Content Technology that empower individuals and society to engage in digital experiences with control, inclusion, and accountability with the long term goal of a balanced digital society by 2030. ADAPT is pioneering new Human Centric AI techniques and technologies including personalisation, natural language processing, data analytics, intelligent machine translation human-computer interaction, as well as setting the standards for data governance, privacy and ethics for digital content.
Our Research Vision
Governments and civil society are starting to recognise the need for urgent and concerted action to address the societal impact of the accelerating pace of digital content technologies and the AI techniques that underpin them. ADAPT provides an ambitious, ground-breaking, integrated research programme that assembles three interlocking Strands that together are capable of addressing this challenge. Each of these complementary and reinforcing research strands takes one of the different perspectives on the provision of personalised, immersive, multimodal digital engagement, i.e. the individual’s experience and control of the engagement, the algorithms underlying digital content processing, and the balanced governance by enterprise and societal stakeholders.
Digitally Enhanced Engagement Strand
From the individual perspective, research within this Strand will deliver proactive agency techniques that sense, understand and proactively serve the needs of individual users to deliver relevant, contextualised and immersive multimodal experiences, which also offer them meaningful control over the machine agency delivering those experiences.
Digital Content Transformation Strand
From the algorithmic perspective, new machine learning techniques will both enable more users to engage meaningfully with the increasing volumes of content globally in a more measurably effective manner, while ensuring the widest linguistic and cultural inclusion. It will enhance effective, robust integrated machine learning algorithms needed to provide multimodal content experiences with new levels of accuracy, multilingualism and explainability.
Transparent Digital Governance Strand
From the enterprise and societal perspective, new structured knowledge frameworks and associated practices for AI data governance will be required to balance the needs and values of individuals, organisations and society when it comes to rich digital experiences. This requires the advancement of research in the areas of data ethics, data quality, data protection, data value, data integration, and multi-stakeholder governance models.