16.00CET / 17.00GMT on 27th March 2024. Please email applications to Dr. Conor Lynch (conor.lynch@mtu.ie) by this time.
About
The MTU NIMBUS Research Centre and the Sustainable Infrastructure Research & Innovation Group (SIRIG) are pleased to offer a PhD scholarship for research in the area of machine learning and data science. The scholarship is set within the Flash Flood Breaker Project, a collaborative large-scale project (2024-2027) aimed at making North-West Europe (NWE) more resilient to increasing extreme flash flood events.
The project focuses on assessing flood vulnerability, developing a flood-resilient framework, reducing flood hazards, and creating a decision-making platform to tackle extreme flash floods in real-time. The PhD candidate will be expected to review and develop machine learning methodologies applicable to time series, geographical, and drone image data sets to augment system response to flash flood events.
PhD Scholarship Details
The successful candidate will receive a stipend of €21,000 per annum for the duration of the PhD (up to December 2027) and an annual contribution of €6,000 towards tuition fees. Attendance at project meetings and conferences will be facilitated.
Responsibilities
* Conduct a state-of-the-art literature review on machine learning, including deep learning for time series and image datasets.
* Engage with industry stakeholders (e.g., County and City Councils, Contractors, Government Agencies, Digital Providers) nationally and internationally to inform the development of data-driven flash flooding model algorithms.
* Produce project reports and dissemination publications as required.
Minimum Requirements
Applicants should hold a Bachelor degree (minimum final grade 2.1 or equivalent) or a Master Degree in Computer Science, Computer Engineering, Data Science and Analytics, or related disciplines. A Master's Degree in Artificial Intelligence or Machine Learning is desirable, along with strong programming skills.
Desirable Skills
* Knowledge and experience with machine learning methodologies and tools: Tensorflow, PyTorch, Keras, Scikit-Learn, Pandas, and NumPy.
* Fluency in English with excellent written and oral presentation skills.
* Familiarity with software development methods and techniques (e.g., SOA or micro-services, agile, UML, test-driven development).
* Skills in Python 3, C++, Java/JEE, MySQL/NoSQL, HTML5, AngularJS/JQuery, MEAN Stack, and Open Cloud.
* Technical knowledge of software development, including distributed data management, data structures, algorithms, and complexity analysis.
* Experience in the design and modeling analysis of distributed software systems.
Application Process
Written applications, in English, should include:
* A concise C.V.
* A one-page letter of motivation describing why you are interested in this position.
* An English language test certificate, if applicable.
* Contact details for three references.
* A copy of relevant qualifications such as official university transcripts.
Please email applications to Dr. Conor Lynch (conor.lynch@mtu.ie) by 16.00CET / 17.00GMT on 27th March 2024.
Shortlisted candidates will be called for an interview in April 2024.
Duration
3 years.
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