Technological University Dublin
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Post-Doctoral Researcher: Scientific Software Development and Machine Learning for Thermal Industrial Systems Technological University Dublin in Ireland
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Oct 5, 2026
Country
Ireland
University
Technological University Dublin
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About this position
Post-Doctoral Researcher: Scientific Software Development and Machine Learning for Thermal Industrial Systems at Technological University Dublin is a full-time, temporary postdoctoral appointment in the Thermo-Fluids and Energy Systems (TFES) Research Group within the School of Mechanical Engineering.
The role sits at the intersection of mechanical engineering, physics, and scientific computing, with a strong emphasis on software development, numerical methods, and machine learning for thermal industrial systems. The selected researcher will support an externally funded programme focused on modelling and simulation of thermal systems, working under the direction of the Principal Investigator and in collaboration with external research and industry partners in Ireland and internationally.
The work includes implementing numerical methods and machine learning models in code, building reduced-order and hybrid surrogate models with real-time performance targets and quantified error bounds, defining modelling standards and input/output conventions, automating model generation and packaging, integrating models into a wider software platform, and validating models against experimental and operational data. Applicants are expected to demonstrate personally written code and relevant software engineering practice.
The TFES group combines laboratory measurement with high-fidelity simulation and works across thermal management, electronics cooling, and energy systems. This post offers scope for peer-reviewed publication, collaboration with industry, and some travel for project meetings and site visits.
Eligibility highlights: a PhD or equivalent in a relevant engineering, physics, computer science, or scientific computing field; evidence of a publication record; experience with Python and scientific libraries; Git and good coding practice; and working knowledge of heat transfer, fluid mechanics, or thermodynamics. Desirable experience includes reduced-order modelling, PyTorch/TensorFlow/scikit-learn, CFD, conjugate heat transfer, finite element thermal analysis, HPC/cloud/container deployment, and collaborative industry research.
Funding: The position is supported by an externally funded EU / Next Generation EU research programme. The advertisement does not specify a separate stipend amount in the text provided.
Application deadline: 5 October 2026, 17:00 (Europe/Dublin).
How to apply: Apply via the TU Dublin current vacancies page and the internal application form referenced in the advert. Ensure your application clearly maps your experience to every essential criterion, especially your software development and code authorship evidence.
Funding details
Available
What's required
Applicants must have a PhD or equivalent in mechanical, thermal, energy or aerospace engineering, applied mathematics, physics, computer science, scientific computing or a closely related discipline. Candidates should have a research profile and publication record in the relevant area, knowledge of research techniques and methodologies, and a commitment to high-quality research. Essential experience includes developing and maintaining research software, with evidence such as a code repository, open-source contribution, or substantial personally authored codebase; implementing numerical methods or machine learning models in Python or a comparable language using scientific computing tools such as NumPy, SciPy and pandas; and software engineering practices in a research context including Git, reusable code organisation, testing and documentation. Applicants should also have working knowledge of heat transfer, fluid mechanics or thermodynamics sufficient for physics-based thermal modelling and validation, plus effective written and verbal communication skills. Desirable experience includes reduced-order modelling, machine learning frameworks such as PyTorch, TensorFlow or scikit-learn, CFD, conjugate heat transfer or finite element thermal analysis, HPC or cloud/containerised deployment, and collaborative industry or multi-partner research experience.
How to apply
Apply through the TU Dublin current vacancies webpage. Use the internal application form referenced in the posting and include clear evidence that you meet each essential criterion, especially your software/code contributions. Submit before 5 October 2026 at 17:00 (Europe/Dublin).
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