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AI/ML Research Developer
2 weeks ago
We are seeking a highly qualified AI researcher to accelerate research towards various applications of digital twins incorporating Machine Learning.
This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an office in Ireland.
The COIN Project (Control-Oriented Innovations for Future Ocean Energy Farms) is focused on advancing renewable ocean energy in response to climate goals and growing concerns over energy security and pricing. By developing innovative solutions such as smart connectors for mooring and power, real-time AI-based wave prediction, and digital twin-based health monitoring, the project aims to overcome technical and economic challenges in wave energy.
As a member of our team, you will work closely with experienced researchers and engineers to develop innovative solutions for various applications of digital twins incorporating Machine Learning.
Key Responsibilities:
- Develop integrated software algorithms to structure, analyze, and leverage structured and unstructured data in product and systems applications.
- Apply machine learning and statistical modeling techniques to improve product/system performance.
- Formulate descriptive, diagnostic, predictive, and prescriptive insights/algorithms and translate technical specifications into code.
- Apply, optimize, and scale deep learning technologies and algorithms to give computers the capability to visualize, learn, and respond to complex situations.
Requirements:
- PhD degree (or MS with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.).
- Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning.
- Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer.
- Strong software development skills in Python and Pytorch are required.
- Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability.
- A strong science or engineering background with aptitude for system level analysis and modeling.