ELITE-S (http://elite-fellowship.eu/) is a Marie Skłodowska-Curie COFUND Action for new inter-sectoral training, career development and mobility fellowship programme. Each fellowship will be based at the ADAPT Centre in one of its universities (Trinity College Dublin, Dublin City University, University College Dublin, TU Dublin) The programme will train the next generation of leaders in ICT Standards by offering 16 prestigious two-year fellowships to experienced researchers (ER) for incoming mobility across two calls over the 60 months duration of the programme. Fellowships will be offered in the four core research areas: - Regulations and Compliance - Content Analytics and Content Preservation - Data and Process Management - Interoperability And applicants will have the freedom to choose among these research topics where they’ll develop ground-breaking research to become research leaders of the future. Fellows will conduct their research in one of the academic partners and also take part in a secondment period in the industry, maximizing their benefit from the academy expertise, industry collaboration opportunities and representation opportunities at Standards Developing Organisations (SDOs).

We are recruiting for a PhD to work with us in the Marie Curie Initial Training Network project called HELICAL. The post is for 1 x early stage researcher (ESR) who will undertake a three year PhD studentship as part of the H2020-MSCA-ITN-2018 HELICAL (Co-ordinator: Professor Mark Little, Trinity College Dublin, TCD). HELICAL is an EU funded Marie Curie Innovative Training Network (ITN) with 17 Academic Partners and nine Non-Academic Partners. This post is to be based in ADAPT at the School of Computer Science and Statistics, Trinity College Dublin and will be supervised by Professor Declan O'Sullivan . The project is entitled Scalable semantic data architecture for study of chronic disease . The successful applicant will adapt an existing geo-spatial semantic data architecture to support RDF-based data management mechanisms to promote research while protecting privacy. The existing infrastructure allows scalable incorporation of data streams deriving environmental archives (weather, pollution and infectious agents), near-patient app-derived information and RKD registry data. The applicant will set up RDF-based scalable infrastructure to uplift and integrate data, to export data to analytic tools, and support pre-processing for deeper patient set analysis using machine learning approaches, with a view to comparing app-derived data between patients suffering a vasculitis flare and those remaining in remission.

The Discipline of Statistics and Information Systems is seeking to appoint an Associate Professor in Statistics. The successful applicant will join an established and internationally renowned research group that has interests in complex data modelling, statistical computation and Bayesian methods across a wide variety of applications. The Discipline is looking for an individual with a proven track record of independent research that has led to success in publication, Ph.D. supervision and funding, as well as a demonstrable commitment to teaching excellence at undergraduate and postgraduate level. The successful applicant will have a Ph.D. in statistics or another quantitative subject with a strong statistics component. The Discipline also welcomes candidates who can exploit the Discipline's position in a School of Computer Science and Statistics and its role within the School’s affiliated Research Centres and Groups (see https://scss.tcd.ie/research/). Post Status: Permanent, full-time Closing Date: 21st February 2019

Four positions available in the area of Intelligent and Self-Adaptive Systems to undertake research on urban-scale, intelligent, self-adaptive systems for the Internet of Things (IoT), as part of the Enable Research Programme, hosted at the CONNECT Centre at Trinity College Dublin.. The expertise of interest include: Artificial intelligence, multi-agent systems and machine learning (e.g., reinforcement learning, transfer learning, lifelong learning, imitation learning, neural networks, deep learning, recommender systems), Service-oriented computing for edge and mobile devices (e.g., Internet of Things, mobile systems, embedded systems), Vehicular computing (e.g., V2X communications, information-centric networking, connected autonomous vehicles, autonomous vehicle controllers). Post Status: 1 year Specific Purpose Contract (Full Time). Closing Date: 12 noon 28th Feb 2019

Applications are invited for a fully funded PhD position and a Postdoctoral position in the areas of: • Low latency 5G wireless and multipath • Online learning and optimisation for 5G wireless Successful applicants will have excellent mathematical and programming skills - the positions would suit a math graduate looking to gain experience of more applied problems in IT/Data Analytics or an engineering/CS graduate looking to develop their math expertise. Relevant analytic tools include methods from machine learning, probability, stochastic optimisation, decision and queueing theory. The positions are part-sponsored by Noka Bell Labs and you'll have an opportunity to spend time in Bell Labs Ireland and to work with real 5G systems. To apply, candidates should submit a detailed CV, transcripts of undergraduate grades and the names and contact details of two referees for letters of recommendation to Prof. Doug Leith, email: Doug.Leith@tcd.ie