The University of Limerick offers multiple fully funded PhD positions under the R@ISE Strategic Partnership Programme, co-funded by Science Foundation Ireland and various industry partners. This collaborative initiative focuses on advanced software development technologies, with opportunities to work closely with industry leaders such as Analog Devices, Stripe, Tines, Johnson & Johnson, and Limerick City and County Council. The program emphasizes the development of a robust, low-code/no-code software platform, integrating AI/ML, formal methods, and data science.

Key Details and Dates

• Application Deadline: Until positions are filled
• Commencement: July 2024
• Funding Type: Fully funded
• Host Institution: University of Limerick
• Eligible Countries: All
• Eligible Gender: Male/Female
• Target Group: Graduates with a background in Computer Science or similar disciplines
• Focus Area: Software development, model-driven development, low-code/no-code application development, formal methods, AI/ML, data science
• Study Level: PhD
• Number of Opportunities: 10 to 12 positions
• Duration: 48 months
• Program Language: English
• Host Country: Ireland

Benefits and Financial Aids

Selected candidates will benefit from the program as follows:

• Stipend: €22,000 per annum (tax-exempt, if no other sources of income)
• Tuition Fees: Covered by R@ISE
• Additional Funding: For equipment, conferences (including travel costs), and publications
• Access: Exceptional student facilities and services at the University of Limerick

Eligibility Criteria

All candidates must meet these requirements:

• Degree (level 8 NFQ – 1st class or MSc) in Computer Science or related field or relevant industry/research experience
• Ability to work in an interdisciplinary team
• Self-motivated, output-driven, with strong communication and presentation skills.
• Evidence of report writing skills.
• Knowledge and experience in at least three of the following areas:
  • Java and other programming languages/paradigms
  • Model Driven Design and Development concepts and tools
  • Agile software development, project management, DevOps
  • Ontologies, linked data, or similar domain description techniques
  • Data science/analytics, information system design and development

Desirable Competencies:

• Experience with cyber-physical systems, security, privacy, trust, microservice, and cloud architectures.
• Web development (Angular JS or equivalent).
• Machine learning tools (e.g., Scikit-learn, Tensorflow, PyTorch).
• Publications or conference papers in software modeling, programming, system design, or data analytics

Required Documents

You must prepare and submit the following documents as a single PDF file for your application:

• Cover Letter: Describing how you meet the criteria and detailing previous software development experience
• Curriculum Vitae (CV): Outlining relevant academic and practical experience
• References: Contact details of at least two referees
• Academic Transcripts: Full transcript of university-level studies
• Previous Work: Publications or significant work (e.g., thesis, final year project) with links to an online repository

Selection Process

The brief details of the selection process are as follows:

• Application Review: Continuous review until all positions are filled
• Interview: Shortlisted candidates will receive an invitation for an interview
• Offer: Successful applicants will receive an offer and will need to submit supporting documentation such as degree certificates and proof of English language competency (if required)

How to Apply?

To apply, complete the R@ISE PhD Application Form. You must submit all required documents as a single PDF file. For any difficulties during the application process, contact [email protected]. For informal inquiries, reach out to the R@ISE project Director at [email protected].

Apply Now

Further information and details are available on the official R@ise website.

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