Ref. No.
NUIG RES 182-21
Closing Date
5.00 pm Thursday September 16th, 2021

Research Fellow – Artificial Intelligence Activity Lead

Research Fellow – Artificial Intelligence Activity Lead

Applications are invited from suitably qualified candidates for a full-time fixed term position as a Research Fellow with the Irish Centre for High End Computing (ICHEC) at the National University of Ireland, Galway.

This position is available from October 2021 based at our offices in Dublin or Galway.

Irish Centre for High-End Computing (ICHEC)

ICHEC is Ireland’s national centre for High-Performance Computing (HPC) providing digital infrastructure capabilities and expertise through R&D engagements and skills development programmes to academia, industry and public sector organisations.

With a highly ambitious leading-edge Strategy for 2021-2025, ICHEC provides infrastructure services and expertise in HPC and data intelligence to develop efficient platforms, solutions and services based on technologies including AI, high performance data analytics, Earth Observation, quantum computing and cybersecurity across a number of sectors including environmental sciences, healthcare, agriculture, energy, financial services and ICT.

ICHEC works in close partnership with a number of national and international researchers, enterprises and public authorities for joint R&D, skills development, and provisioning HPC and data services to accelerate their digital transformation and green transition.

For more details reach out to our Centre Technical Manager Dr. Venkatesh Kannan, or visit

Job Description & Duties:

The successful candidate will be the technical lead of the AI & Edge Computing Activity at ICHEC working in close collaboration with a number of national and international academic, industry and public sector partners to leverage HPC, data management AI and high-performance data analytics technologies, their research, development and application to a number of domains.

The AI & Edge Computing Activity at ICHEC focuses on:

  1. Development and performance optimisation of ML/DL training and inference workflows on wide range of HPC architectures (single-node, accelerators, HPC cluster/cloud, edge computing devices);
  2. Techniques and tools for data management and processing on edge platforms;
  3. Application of AI for Earth Observation data analysis and applications;
  4. Use of AI for data enhancement and augmentation with numerical modelling.

The successful candidate will

  • be responsible for leading the focus areas and R&D projects to develop and apply AI-related algorithms and tools to all other activities on Big Data Analytics, Environmental Sciences, National Services and Quantum Computing, and leverage the Performance Engineering Activity to optimise AI solutions;
  • Work closely with national and international research/industry partners who are AI technology developers and end-users for collaborative R&D across a number of application domains (environmental and climate sciences, Earth Observation, health, manufacturing, etc.);
  • identify and seek new opportunities, partnership and projects;
  • disseminate the outcomes of the projects through reports, publications, press releases and presentations at events;
  • Lead the preparation and delivery of training courses to academic, industry and public sector audiences.

This is a role for a highly motivated technical leader and problem-solver, with a creative and analytical mind, who is excited to drive the Performance Engineering Activity and expertise at ICHEC for building solutions that will have a global impact.

Qualifications/Skills required:

Essential Requirements:

  • A Master's Degree with at least 6+ years of relevant experience, or Ph.D. with at least 3 years of relevant experience in Computer Science, AI, Data Science, or a related discipline.
  • Robust knowledge of AI covering at least two of the following areas:
    • Solid understanding of the basics of data analysis and statistics and of theory of standard supervised, semi-supervised and unsupervised ML/DL approaches.
    • Awareness and knowledge of current and emerging hardware platforms, software tools/frameworks, ecosystems and advanced techniques (such as, GPU, TPU, VPU, ARM, JAX, MLIR, SciML, Julialang, mixed-precision computing, graphNN).
    • Expertise in compiling, configuring and debugging issues with dominant ML/DL frameworks and tools (such as Keras, Caffe, TensorFlow, PyTorch, MXNet, Horovod, DaskML).
    • Hands-on experience of applying ML/DL models to datasets in one or more domains (such as climate, Earth Observation, health, computer vision, NLP).
  • Experience in technical leadership of AI projects with academic, research and/or industry partners, with excellent communication and organisational skills.
  • Experience in building, optimising and deploying ML and data science workflows on HPC clusters, cloud-based HPC systems and/or edge computing devices.
  • Working experience with languages such as Python, R, Ruby, C, C++, or similar.
  • Ability to work in a multi-disciplinary team with academic, research and industry partners, with excellent communication and organisational skills.

Desirable Requirements:

  • Knowledge of techniques and tools for data mining, cleaning, visualisation, or big data processing.
  • Knowledge of HPC architectures, parallel programming models or performance profilers.
  • Proven experience of working with Agile/PRINCE2 project management frameworks.

Salary: €55,811 - €60,814 per annum pro rata for shorter and/or part-time contracts (public sector pay policy rules pertaining to new entrants will apply).

Start date: Position is available from October 1, 2021 for 11 months, renewable subject to funding availability.


Further information on research and working at NUI Galway is available on Research at NUI Galway Researchers at NUI Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. NUI Galway provides continuing professional development supports for all researchers seeking to build their own career pathways either within or beyond academia.  Researchers are encouraged to engage with our Researcher Development Centre (RDC) upon commencing employment - see for further information.

For information on moving to Ireland please see

Further information about ICHEC is available at

Informal enquiries concerning the post may be made to


To Apply:

Applications to include a 1-page covering letter summarising your suitability and motivation for the role, CV (max. 3 pages), and the contact details of three referees should be sent, via e-mail (in a single PDF only) to  Please put reference number NUIG RES 182-21 in subject line of e-mail application.


Closing date for receipt of applications is 5.00 pm Thursday September 16th, 2021


Due to the University closure related to COVID-19, interviews may have to take place virtually and start dates may need to be delayed

All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment. National University of Ireland, Galway is an equal opportunities employer.

NUI Galway reserve the right to readvertise or extend the closing date for this post.

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