Ref. No.
Ref. No. NUIG RES 233-21
Closing Date
Friday December 3rd, 2021.

HPC Computational Scientist (Postdoctoral Researcher/Research Associate)

Applications are invited from suitably qualified candidates for a full time specific purpose position as a Web Systems Developer with the Irish Centre for High End Computing (ICHEC) at the National University of Ireland, Galway. The successful candidate will work on a Euro CC project under the Academic Flagship Programme. The position is available immediately.  The candidate will be 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:

The successful candidate will be an integral member of the Performance Engineering (PE) Activity at ICHEC.

The Performance Engineering Activity at ICHEC focuses on:

  1. Parallel programming models and frameworks targeting different HPC architectures (x86, GPU, ARM, RISC-V and others) on edge devices, clusters and cloud computing platforms;
  2. Research and development of methods and tools for performance analysis and optimisation of workloads and workflows for time-to-solution and energy-efficiency at processor-, node- and cluster-levels;
  3. Software and tools for HPC data storage, file and management systems.

Duties: The successful candidate will

  • be involved in a number of R&D projects to bring HPC capabilities to Big Data Analytics, AI & Edge Computing, Environmental Sciences and hybrid HPC-Quantum Computing;
  • work closely with national and international research/industry partners who are HPC technology developers and end-users for collaborative R&D;
  • assist the Centre in identifying and seeking new opportunities, partnerships and projects;
  • disseminate the outcomes of the projects through reports, research publications, press releases and presentations at events;
  • prepare and deliver training courses to academic researchers, industry and public sector audiences.

This is a role for a highly motivated problem-solver, with a creative and analytical mind to build new solutions that will have a global impact.

Qualifications/Skills required:

Essential Requirements:

  1. A Master’s Degree with experience of at least 3 years, or a Ph.D. in a HPC, Computational Science, Computer Science or a related discipline.
  2. Working experience with languages such as C, C++, Fortran, Julia, Python, or similar.
  3. Demonstrable evidence of in-depth knowledge of parallel programming and using HPC systems and/or cloud based HPC systems.
  4. Exposure to processor architectures e.g. many-core CPUs, GPUs, VPUs, FPGAs, etc.
  5. Robust knowledge of performance analysis tools and performance optimisation approaches at node and cluster levels.
  6. Ability to work in a multi-disciplinary team with academic, research and industry partners, with excellent communication and organisational skills.

Desirable Requirements:

  1. Working experience with software development practices, e.g. revision control, continuous integration pipelines.
  2. Familiarity working on data storage systems and I/O optimisation.
  3. Experience in developing machine learning and data science workflows on HPC clusters and/or cloud-based HPC systems (AWS, Microsoft Azure, Google Cloud, etc.).
  4. Interest in novel technologies such as Quantum Computing and its integration with classical HPC at systems and software levels.
  5. Exposure to Agile/PRINCE2 project management frameworks.

Salary: €44,659 to €50,031 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 immediately.

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 233-21 in subject line of e-mail application.

Closing date for receipt of applications is Friday December 3rd, 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 re-advertise or extend the closing date for this post.

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