Application Form
PhD Studentship in Data Governance (PhD_DataGovernance_MH)

JobRef: 8864
  • Accepted file types: pdf.
  • Accepted file types: pdf.

PhD Studentship in Data Governance (PhD_DataGovernance_MH)

Level:PhD
POSTED:April 12, 2021
LOCATION:Maynooth University
CLOSES:June 25, 2021
Duration:4 Years
Reports to:Prof Markus Helfert
Salary:€18,500 stipend per annum (non taxed) plus university fees
Closing Date:June 25, 2021

Anticipated Start Date: 01 September 2021

 

Why ADAPT?

  • 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

Research project/Challenge 

The aim of this PhD is to explore challenges related to data governance methods/techniques and develop a data value maturity assessment that will avail of a range of techniques balancing data value and minimise risks. The rapid acceleration of Data and Artificial Intelligence on all parts of society requires an understanding of the value of data that balances the needs and values of individuals, organisations and society.

The PhD will focus on how to measure data value in organisations and data value chains. The student will research how maturity in data value management and data governance can be assessed. The student will investigate techniques and define appropriate approaches to assess data value considering organisational, process and technical aspects. In this context, the investigation will explore how algorithms/techniques can be used to automate the data value assessments and interpretability to generate explanations for the users. Collaborating with companies, the researcher will acquire knowledge in novel data governance practices and how those can be advanced. Equipped with a deep knowledge in data governance in the intersection between business and computing, the researcher will be well positioned to embark on a career either in industry or academia.

Minimum qualifications

  • Applicants must have a recognised primary degree which is considered equivalent to Irish university primary degree level.
  • Applicants normally require a Masters Degree (Honours) or strong Honours undergraduate degree in Informatics, Computer Science, Information Systems, Information Management or related degree. Applications should have achieved high marks in their undergraduate degree. This is typically a first-class honours, although outstanding students with a second class honours primary degree that can demonstrate strong achievements related to the research work can also be considered.
  • Minimum English language requirements (IELTS: 6.5 minimum overall score, TOEFL (Paper-based test): 585, TOEFL (Internet-based test): 95, PTE (Pearson): 62). For further details see: https://www.maynoothuniversity.ie/study-maynooth/postgraduate-studies/phd-research-programmes

Preferred qualifications

  • Excellent communication, teamwork and organizational skills.
  • Strong data management, analytical skills and problem-solving skills
  • Aptitude for technology and working with companies/organisations
  • Experience of the research process (at least an undergraduate level)
  • Must be eager to work in and learn from a multi-disciplinary multi-organisation team
  • Demonstrated knowledge in data governance approaches and data/architectural modeling
  • Experience with communicating research and/or science to a lay audience

Application Process

Submit the following via https://forms.gle/H3o6p8UPK41jRfix6 

  1. A letter of introduction and motivation (max 1500 words). In the letter, applicants should include the following details:
  2. An explanation of your interest in the research topic and why you believe you are a suitable candidate for the position.
  3. Motivation, indicating why you wish to conduct this research project offered by ADAPT, and why you expect that you will be able to complete the research successfully.
  4. Details of your final year undergraduate project (if applicable)
  5. Details of your MSc project/research experience (if applicable)
  6. Details of any relevant modules previously taken, at undergraduate and/or Master level.
  7.  CV: Detailed curriculum vitae, including – if applicable – relevant publications
  8. Transcripts of degrees
  9. The name and email contacts of two academic referees
  10. Details of any relevant work experience (if applicable).

 

Informal enquiries about this position can be made via email to Prof Markus Helfert (markus.helfert@mu.ie) referencing ‘PhD_DataGov’ in the subject line

Diversity

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.


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