The Robotics and Intelligent Systems Control Laboratory (RISC) at NYU Abu Dhabi is inviting qualified applicants with a doctorate degree in electrical engineering, computer engineering, computer science, or related fields to apply. The ideal candidate should have a strong publication record and experience in machine learning model development and statistical learning.
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The selected candidate will engage in innovative AI methodologies involving renewable energy integration, smart transmission and distribution networks, AI-driven smart grid technologies, and demand response systems. Responsibilities include conducting research, developing standalone and prototype AI solutions, and publishing work in prestigious conferences and journals.
Qualifications:
- PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field
- Strong publication record in AI-driven energy solutions
- Proficiency in machine learning frameworks (especially MATLAB)
- Experience in statistical learning and embedded systems
- Familiarity with cost-effective COTS-based environmental monitoring solutions is a plus
- 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. Interested applicants must submit:
- A cover letter including the names of at least two referees knowledgeable about the candidate’s academic work
- A curriculum vitae with a full publication list
- A statement of research interests
- A 1-2 page statement of purpose
- A transcript, all in PDF format
For inquiries, please email Prof. Anthony Tzes at [email protected].
Language Requirements:
Proficiency in English is required.
Equal Employment Opportunity Statement:
NYU Abu Dhabi is committed to a policy of equal opportunity in recruitment and hiring, encouraging applications from individuals regardless of age, ethnicity, gender, disability, or other legally protected status. UAE Nationals are encouraged to apply.
