Research Associate - Robotics and Intelligent Systems Control Laboratory (RISC)

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.

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 anthony.tzes@nyu.edu.

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.