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ESR#3 PhD position in Lifelong learning (TCD), Dublin

PhD position in Lifelong learning at the Knowledge and Data Engineering Group (KDEG) in the School of Computer Science and Statistics,Trinity College Dublin, Dublin, Ireland

Project: Identification and mapping of lifelong learning transitions of mobile learners: from trajectories to pathways

The objective of this project is to identify the learning transitions that take place when lifelong learners move in and out of different dimensions of mobility and learning and will attempt to discern how technology supports the mobility of learners and hence their learning transitions.

The first stage of the work will involve conducting a literature review with the objective of defining theoretical constructs to establish a framework to define transitions in lifelong learning based on dimensions of mobility in mobile learning. This work will inform the development of a survey of transitions in mobile lifelong learning. The analysis of the survey (N≥500) will support the elaboration of hypotheses pertaining to the transitions that take place and how the technology supports them. The qualitative work will be followed by a qualitative phase of data collection and analysis. Through iterative hypothesis forming and testing against new sets of data a map of learning transitions in mobile lifelong will be developed.


  • Excellent academic record with Master's degree in Technology Enhanced Learning, Educational Technology, E-Learning, Education or related master in the area of technology and teaching and learning.
  • Experience with the design, development implementation and evaluation of technology enhanced teaching and learning experiences and technologies and tools.
  • Experience with qualitative and quantitative research methodologies.
  • Background ineducation and technology expertise in qualitative educational or sociological field work and very strong interest in mobile, lifelong and informal learning.
  • Fluent in English with very good writing and communication skills. English language certification if English is not your first language, the requirement being: IELTS: 7.0+, TOEFL iBT: 100+, TOEFL pBT: 600+, CEF: C1+, or equivalent.
  • Highly motivated to pursue a career in science and ability to work in a team and independently. Ability to think strategically and systematically. Critical thinker with demonstrated creative problem solving skills.
  • Candidates applying for this position must also meet the entry requirementsfor PhD candidates in Trinity College Dublin


  • High thesis grade
  • Publication(s) in peer reviewed journal(s)
  • Honours distinction


Send a CV and a cover letter with your motivation for applying for the position and what you have to offer to

Prof. Inmaculada Arnedillo-Sánchez & Prof. Declan O'Sullivan

There is no closing date for applications but the expecting starting date is 1st March 2014. So, we will engaged with applicants on an ongoing basis until a person is appointed.

More information

Project information can be obtained from Prof. Inmaculada Arnedillo-Sánchez


Based on a full-time appointment the duration of the appointment as a Marie Curie ITN fellow will be for maximum period of 3 years. The appointment will be 36 months and should lead to a dissertation (PhD thesis). Starting date is expected to be 1st March 2014. A Personal Career Development Plan will be drafted that includes the attendance of EDUWORKS courses and meetings and the completion of the Structured PhD programme in the School of Computer Science and Statistics. The PhD student is expected to assist in teaching.

The gross monthly salary will be according to the salary scales for PhD students in the host country. The collective employment agreement (CAO) of Irish universities is applicable. Besides the salary, the PhD student will obtain a mobility allowance for the duration of the 3 years of the Marie Curie ITN project. Positions are aimed at being full-time, but by exception, if needed for family reasons, part-time appointments are possible.

Host institute: KDEG (Knowledge and Data Engineering Group) in the School of Computer Science and Statistics, Trinity College Dublin

KDEG investigates the fundamental challenges and practical applications of knowledge-driven systems. Its research combines knowledge discovery, representation and reasoning with web-based data management and intelligent systems engineering. This research is advanced through application in a number of areas. For further information:

Founded in 1592, Trinity College Dublin is the oldest university in Ireland and one of the older universities of Western Europe. On today’s campus, state-of-the-art libraries, laboratories and IT facilities, stand alongside historic buildings on a city-centre 47-acre campus. Based in the heart of Dublin, TCD offers an exceptional working and social environment that attracts students and researchers from around the world. TCD’s research impact is currently ranked 44th in the World by the Times Higher Education Ranking of World Universities and 10th in Europe by the Leiden University Ranking of World Universities based on research performance. As Ireland’s premier university, the pursuit of excellence through research and scholarship is at the core of a Trinity education. TCD has an outstanding record of publications in high-impact journals, and a track record in winning research funding which is among the best in the country.

Apply for this vacancy



March 25 2015, ​Cedefop / IZA Workshop on Skills and Skill Mismatch: Call for papers

Skills are a key driver of labour market success, competitiveness and social inclusion for individuals, enterprises and societies. High-level skills are not only a prerequisite for employment, higher wages, productivity, innovation and continued economic growth; they also empower individuals to be active and productive members of society. Skills, however, need to keep up with rapid technological progress, organizational change in the workplace and labour market change. At the same time, there is a growing concern with the gaps between the skills provided by education and training systems, the needs of the current and future labour markets, and the extent to which such skill mismatches are a cause of high young unemployment rates. Those who wish to participate in the workshop (29-30 October 2015 in Thessaloniki) are invited to submit a complete paper by 15 July 2015 using the online application form. More information on the workshop and the call for papers  can be found here.

February 17 2015, New publication!

The paper "Labour Market DrivenLearning Analytics" penned by V Kobayashi, S T Mol and G Kismihok from the University of Amsterdam has been published in the peer-reviewed Journal of Learning Analytics. Read more at

January 07 2015, Webdatanet Conference

The Webdatanet Conference that will take place in Salamanca, Spain,  on 26 – 28 May 2015.

The conference will consist of paper presentation sessions, poster session, round tables and Task Force meetings. We encourage you to submit a paper either to the Eduworks session/workshop or to any other session you may be interested in. See the whole list of sessions and relevant information in the call for papers for the conference that can be found following the below link.

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