PhD Opportunities in Computer Science (Fully Funded)
دوام كامل
في R@ISE Project (University of Limerick)
في
Ireland
نُشرت يوم January 22, 2025
تفاصيل الوظيفة
PhD Opportunities in Computer Science (Fully Funded) Full-time
Call for applications is now open to join the exciting R@ISE (Research at Immersive Software Engineering) Project – a collaboration between University of Limerick, industry partners Analog Devices, Stripe, Tines, Johnson & Johnson, and Limerick City and County Council. About R@ISE: Funded by Taighde Éireann – Research Ireland and the project partners, R@ISE aims to create, deploy, and evaluate an advanced open-source software development framework for low-code/no-code application development of high-assurance systems. The project is located at the nexus of software platform and application development, with a strong reliance on advanced model-driven development technologies, formal methods, and data science support. What We Offer:- Full funding (annual Stipend of €22,000 plus tuition)
- Opportunities to work with R@ISE partners and international collaborators
- Funding for equipment, conferences, and publications
- A degree (level 8 NFQ – 1st class or MSc) in Computer Science or similar discipline, or proven ability in a relevant industry or research context
- Ability to work as part of an interdisciplinary team
- Self-motivated, output-driven candidates with good communication and presentation skills
- Evidence of report writing skills
- Knowledge and experience in three or more of the following areas:
- Development in Java and other programming languages/paradigms
- Familiarity and experience of Model Driven Design and Development concepts and tools
- Familiarity with agile software development, agile project management, DevOps
- Ontologies, linked data or similar domain description techniques
- Data science/analytics, information system design and development
- Experience with and understanding of cyberphysical systems; security, privacy and trust; microservice and cloud architectures
- Experience of web development (Angular JS or equivalent)
- Experience with machine learning tools (e.g., Scikit-learn, Tensorflow, PyTorch, etc.)
- Track record of publications/and conference papers in software modelling or programming, or system level design and implementation, or software design for data analytics.
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