The Robotics and Intelligent Systems Control Laboratory (RISC) at NYU Abu Dhabi invites qualified applicants with a doctorate degree in the areas of electrical or computer engineering, computer science, or related fields to apply. A strong publication record is encouraged, along with experience in machine learning model development and statistical learning.
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The selected candidate will work on innovative AI methodologies in areas such as renewable energy integration (online forecasting tools and renewable energy management systems), smart transmission and distribution networks, AI-driven smart grid technologies, and demand response systems. The role involves conducting research, developing standalone and prototype AI solutions, and publishing in top-tier conferences and journals.
Qualifications:
- PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- Strong publication record in AI-driven energy solutions.
- Proficiency in machine learning frameworks (MATLAB).
- Experience in statistical learning and embedded systems is required.
- Familiarity with cost-effective COTS-based environmental monitoring solutions is a plus.
- Demonstrated ability to work collaboratively in research-focused teams and contribute to innovative AI-driven solutions.
Application Instructions:
Applications will be accepted on a rolling basis until the positions are filled. To apply, candidates must submit the following in PDF format:
- Cover letter including the names of at least two referees with essential knowledge of the candidate’s academic work.
- Curriculum vitae with a full publication list.
- Statement of research interests and a 1-2 page statement of purpose.
- Transcript.
For any questions, please email Prof. Anthony Tzes at [email protected].
Work Conditions: Full-time
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates (On-site)
Language Requirements: Not specified explicitly; proficiency in relevant technical languages implied.
