Join our team of 20+ researchers (half postdocs half PhDs) in Visual Computing at the intersection of Computer Vision, Computer Graphics and Media Technology. We are building a dynamic environment where enthusiastic young scientists with different backgrounds get together to shape the future in fundamental as well as applied research projects. Possible directions include but are not limited to: • Augmented and virtual reality (AR/VR), • Volumetric video, • VR/360/omni-directional video, • Light-field technologies, • Visual effects and animation, • Deep learning for visual computing, • All fundamental areas of visual computing (vision, graphics, media technology). Individual research plans will be designed between PI, successful candidates and team, considering individual background, expertise, skills and interests, matching the overall strategy, and exploiting opportunities and inspirations. A senior position requires a minimum 4 years of postdoctoral experience. This may be particularly interesting for candidates pursuing an academic career and preparing for a first faculty position. The research project “V-SENSE - Extending Visual Sensation through Image-Based Visual Computing” is funded by SFI over five years with a substantial budget to cover over 20 researchers. Further Information for Candidates

The School of Computer Science and Statistics invites applications for full or part-time Teaching Fellows in Computer Science and/or Statistics. Applicants must hold a postgraduate degree or have equivalent experience in Computer Science or Statistics. Applicants must also have an excellent academic track record relative to their career stage. Teaching Fellows will be expected to teach at undergraduate and/or postgraduate level (through lectures, laboratories, tutorials or other learning activities), supervise student projects anddissertations and undertake administrative tasks supporting teaching and learning in the School ...

PhD Studentship A unique opportunity has arisen for a PhD Studentship in Digital Health available at the Health Information and Quality Authority (HIQA) in collaboration with the School of Computer Science and Statistics, Trinity College Dublin. This is a funded PhD Studentship to undertake a defined piece of work relating to digital health technologies, specifically mobile health and electronic patient portals. The aim of the PhD work is to investigate the design and development considerations to influence the adoption of digital health technologies for chronic disease management for community based patient care in Ireland. Research Programme HIQA was set up in 2007 and its statutory remit is outlined in the Health Act 2007. Under section (8)(1)(k) of the Health Act 2007, the Health Information and Quality Authority (HIQA) has responsibility for setting standards for all aspects of health information and monitoring compliance with those standards. Against this statutory remit, the Technical Standards team aim to improve the quality and safety of all health and social care services by setting National Standards, Guidance and Recommendations to enable health information to be safely shared between eHealth systems. Prospective candidates must ensure that they can commence their academic studies in October 2019 and that they meet the minimum entry criteria for a PhD programme as specified by Trinity College Dublin - https://scss.tcd.ie/postgraduate/structuredphd/

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.