Application Form
PhD Studentship in Open-Domain Dialogue Systems [PhD_ODDS_YG]

JobRef: 8868
  • Accepted file types: pdf, Max. file size: 12 MB.
  • Accepted file types: pdf, Max. file size: 2 MB.

PhD Studentship in Open-Domain Dialogue Systems [PhD_ODDS_YG]

POSTED:September 27, 2021
LOCATION:Trinity College Dublin
CLOSES:October 18, 2021
Duration:4 Years
Reports to:Prof Yvette Graham
Salary:€18,500 stipend per annum (non taxed) plus €5,500 towards university fees
Closing Date:October 18, 2021

Anticipated start date: 1st September 2021

Stipend: €18,500 per annum (non taxed) plus €5,500 towards university fees*

Closing Date: 18 Oct 2021

*Note that non-EU applicants may be liable for non-EU fees:


  • Contribute to the ADAPT research agenda that pioneers and combines research in AI driven technologies: Natural Language Processing, Video/Text/Image/Speech processing, digital engagement & HCI, semantic modeling, personalisation, privacy & data governance.
  • Work with our interdisciplinary team of  leading experts from the complementary fields of, Social Sciences,  Communications, Commerce/Fintech, Ethics, Law,  Health, Environment and Sustainability.
  • Leverage our success.  ADAPT’s researchers have signed 43 collaborative research projects, 52 licence agreements and oversee 16 active commercialisation funds and 52 commercialisation awards.  ADAPT has won 40 competitive EU research projects and obtained €18.5 million in non-exchequer non-commercial funding. Additionally, six spinout companies have been formed. ADAPT’s researchers have produced over 1,500 journal and conference publications and nearly 100 PhD students have been trained.

As an ADAPT funded PhD researcher you will have access to a network of 85 global experts and over 250 staff as well as a wide multi-disciplinary 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:

  • Opportunity to build your profile at international conferences and global events.
  • A solid career pathway through formalised training & development, expert one-on-one supervision and exposure to top specialists.
  • A Fully funded, 4 year PhD postgraduate studentship which includes  a stipend of (€18,500 per annum – non taxed), along with equipment, annual travel funding
  • Funding for annual student fees


Adding Personality Features to Open-Domain Dialog: The research will involve improving state-of-the-art in open-domain dialogue systems by increasing the capability of chatbots to communicate in a more human-like manner by introducing human personality features. The work will enable a chatbot to have realistic personas with personality traits, likes and dislikes, similar to those of a human chat partner. Implementing personalities in chatbots will enable the chatbot to participate in open domain dialogues with human partners in an entertaining, coherent and more personable way than previously possible. The work will involve application of reinforcement learning to this challenging problem as well as development of new evaluation methods to accurately measure personality traits.

Minimum qualifications

  • Primary Degree in Computer Science or aligned field

Preferred qualifications

  • Excellent programming skills,
  • Excellent communication skills,
  • Interest and/or experience in deep learning

Application Process

As part of your application you will be required to submit via 

  1. A detailed CV, including – if applicable – relevant publications;
  2. Transcripts of degrees
  3. A letter of introduction (max 3000 words). In the letter, applicants should include the following details:
  4. An explanation of your interest in the research we plan to conduct and why you believe they are suitable for the position.
  5. Details of your final year undergraduate project (if applicable)
  6. Details of your MSc project (if applicable)
  7. Details of any relevant modules previously taken, at undergraduate and/or Master level.
  8. Details of any relevant work experience (if applicable).



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.

Apply Now

Other Positions