Ref. No.
010695
Closing Date
Tuesday, 5th November 2024, 17:00 (Irish Time)

Postdoctoral Researcher/Research Associate - HPC Parallel Programmer

Postdoctoral Researcher/Research Associate - HPC Parallel Programmer

Applications are invited from suitably qualified candidates for a full-time specific purpose position as HPC Parallel Programmer at the Irish Centre for High End Computing (ICHEC), University of Galway, Ireland. 

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 several 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.

Salary: Research Associate/Postdoctoral Researcher salary scale €44,846 - €57,332 per annum, (subject to

the project’s funding limitations), and pro rata for shorter and/or part-time contracts.

The default position for all new public sector appointments is the 1st point of the salary scale. This may bereviewed, and consideration afforded to appointment at a higher point on the payscale (subject to the project’s funding limitations), where evidence of prior years’ equivalent experience is accepted in determining placement on the scale above point 1, subject to the maximum of the scale.

(Research Salary Scales - University of Galway)

Closing date for receipt of applications is 17:00 (Irish Time) on 5th November 2024. It will not be possible to consider applications received after the closing date.

Please review full job description for further details and essential requirement

JOB DESCRIPTION

The successful candidate will work in the Irish National HPC Services as a part of the Performance Engineering Activity which focuses on:

research and development of methods and tools for performance analysis and optimisation of HPC workloads and workflows at processor-, node- and cluster-levels;

Parallel programming models and frameworks targeting different HPC architectures (x86, GPU, ARM, RISC-V and others) on edge devices, clusters and cloud computing platforms;

Software and tools for HPC data storage, file and management systems.

Any other duties assigned commensurate to this level of post.

Duties:

The successful candidate will:

work on HPC applications for their parallelisation, performance analysis and optimisation on CPU and GPU architectures, on single-node and multi-node HPC/cloud systems;

work closely with other ICHEC projects, particularly National Services, EuroCC Digital Innovation Flagship & SME Accelerator Programmes, Climate Informatics, Earth Observation, Health Informatics, AI & Data Analytics, and Quantum Computing;

collaborate with national and international research/industry partners who are HPC technology developers and end-users for collaborative R&D;

disseminate the outcomes of the projects through reports, publications, press releases and presentations at events;

lead the preparation and delivery of relevant training courses to academic, industry and public sector audiences.

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

ELIGIBILITY REQUIREMENTS

Essential Requirements:

A Masters with 4 years full-time relevant research experience after primary degree or a Ph.D. in domain related to computational or computer science.

Knowledge of HPC covering 

o At least one of the parallel programming models among MPI, OpenMP, CUDA or others.

o Processor and computer architectures such as CPU, GPU, shared/distributed memory systems or others.

Exposure to tools and frameworks for HPC application performance analysis and optimisation. This may cover one or more from Intel, Nvidia, ARM or GNU-based profilers, debuggers and compilers.

Programming experience in C, C++, Python or similar on Linux.

Desirable Requirements:

Experience with software engineering and development practices, e.g. build systems, revision control, CI/CD pipelines

Working experience on HPC systems and/or cloud based HPC systems.

Hands on experience in VM, containers (such as Docker or Singularity).

Exposure to Agile/PRINCE2 project management frameworks.

CONTINUING PROFESSIONAL DEVELOPMENT

Continuing Professional Development/Training:

Researchers at University of Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. University of 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 HERE for further information.

Further Information/Links

To apply

Jobs - University of Galway.. Applications must be submitted online.

o How to apply guide

For informal enquiries, please contact our Performance Engineering Activity Lead, Dr. Buket Benek

Gursoy (buket.gursoy@ichec.ie) or visit www.ichec.ie.

University's Strategic Plan

Working in Research at University of Galway

Moving to Ireland (Euraxess)

Applicant Information

We reserve the right to re-advertise or extend the closing date for this post.

University of Galway is an equal opportunities employer.

All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment.

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