Job Information
- Organisation/Company: Technological University Dublin
- Department: Directorate of Research, Enterprise & Innovation Services
- Research Field: Engineering » Mechanical engineering; Physics; Engineering » Computer engineering
Offer Description
Function
The Thermo-Fluids and Energy Systems (TFES) Research Group in the School of Mechanical Engineering carries out experimental and computational research in thermal management, electronics cooling and energy systems. The group combines laboratory measurement with high fidelity simulation and works with industry partners in Ireland and internationally. This post supports an externally funded research programme in the modelling and simulation of thermal systems, delivered with external research and industry collaborators. The successful candidate will lead the technical delivery of a defined package of modelling and software work under the direction of the Principal Investigator. This is a software-focused post. The work involves implementing numerical methods and machine learning models in code, building reduced-order and hybrid surrogate models that meet real-time performance targets with quantified error bounds, defining modelling standards and input and output conventions, automating model generation and packaging, integrating models into a wider software platform, and validating models against experimental and operational data. The post is weighted towards software development, and applicants will be asked to evidence code they have personally written. The role involves coordination with external collaborators, including some travel for project meetings and site visits, and offers strong scope for peer-reviewed publication and industry engagement.
Role Description
The work on this Research Programme is carried out by Postdoctoral Research Fellows and Senior Postdoctoral Research Fellows and is quasi-autonomous research activity. The mentoring Principal Investigator (PI) will advise the appointee on the conduct of their research which itself will be part of a research programme that the PI is responsible for. The intention is that during the employment of the appointee, they will avail of learning opportunities provided by TU Dublin and/or external agencies related to their particular research programme or research practice in general. At the completion of the Senior/Postdoctoral Research Fellowship period, the appointee will be expected to leave the University and continue their academic formation and development in a different research environment. At the completion of the mentored training period, the appointee should be in a position to take up employment as a fully autonomous researcher with another employer.
Where to apply
Website: https://www.tudublin.ie/explore/jobs/current-vacancies/
Requirements
- Research Field: Engineering » Mechanical engineering
- Education Level: PhD or equivalent
- Research Field: Physics
- Education Level: PhD or equivalent
Skills/Qualifications
The ideal candidate will demonstrate the appropriate mix of knowledge, experience, skills, talent and abilities required for the role as outlined below and must satisfy all of the essential criteria:
Essential
- A PhD or equivalent in mechanical, thermal, energy or aerospace engineering, applied mathematics, physics, computer science, scientific computing or a closely related discipline.
- Evidence of a research profile and publication record within the requisite subject area.
- Knowledge of research techniques and methodologies.
- Commitment to high quality research.
- Demonstrated ability to develop and maintain research software, evidenced by a code repository, an open-source contribution, or a substantial codebase the applicant has personally authored, together with a clear account of their own contribution to it.
- Demonstrated experience of implementing numerical methods or machine learning models in code, in Python or a comparable language, including use of a scientific computing stack such as NumPy, SciPy and pandas or equivalent.
- Experience of software engineering practice in a research context, including version control such as Git, structured and reusable code organisation, testing and technical documentation.
- Working knowledge of heat transfer, fluid mechanics or thermodynamics sufficient to formulate, calibrate and validate physics-based models of thermal systems, and to interpret experimental or operational measurement data.
- Effective written and verbal communication skills, with the ability to present complex technical information to academic and industry audiences and to produce clear technical documentation. Candidates will be shortlisted based on their demonstration of meeting every essential criterion, so are asked to clearly outline how their experience and qualifications meet the criteria.
Specific Requirements
Desirable
- Experience of reduced-order modelling or model order reduction, for example proper orthogonal decomposition, dynamic mode decomposition or machine learning surrogates.
- Experience of machine learning frameworks such as PyTorch, TensorFlow or scikit-learn applied to physical or engineering systems.
- Experience of computational fluid dynamics, conjugate heat transfer or finite element thermal analysis.
- Experience of high performance computing or cloud computing environments, including containerised deployment.
- Experience of collaborative research with industry partners or within multi-partner research projects
Candidates may be shortlisted on the basis of none, one or more of these desirable criteria and are asked to clearly outline how their experience and qualifications meet the criteria.
Level: Excellent
Internal Application form(s) needed: 2026_09_07_0000985883.pdf (403.86 KB - PDF) Download
Additional Information
Additional comments
Job ID: 045023
Website for additional job details: https://www.tudublin.ie/explore/jobs/current-vacancies/
Work Location(s)
- Number of offers available: 1
- Company/Institute: Technological University Dublin
- Country: European Union
- City: Dublin
Contact
- State/Province: Dublin
- City: Dublin
- Street: TU Dublin - Grangegorman
- Postal Code: D1
- E-Mail: sajad.alimohammadi@tudublin.ie
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