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

Westfield State University; United Arab Emirates; On-site; AED 90,000 - 120,000; Full time

Job summary

Westfield State University recherche un candidat qualifié pour rejoindre le laboratoire RISC à NYU Abu Dhabi, avec un accent sur le développement de méthodologies d'IA dans l'intégration des énergies renouvelables. Le candidat idéal aura un doctorat en ingénierie électrique ou d'autres domaines connexes, avec une solide expérience en apprentissage automatique et en publication dans des revues de haut niveau.

Qualifications

• Doctorat requis avec dossier de publication solide.
• Expérience en développement de solutions alimentées par l'IA.
• Capacité à collaborer dans des équipes de recherche.

Responsibilities

• Mener des recherches et développer des solutions IA innovantes.
• Publier dans des conférences et revues de premier plan.
• Travailler sur des systèmes de gestion de l'énergie renouvelable.

Skills

Machine Learning

Statistical Learning

Education

PhD in Electrical Engineering, Computer Engineering, Computer Science, or related field

Tools

MATLAB

Job description

Description

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 or 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

Candidates must hold a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a strong publication record in AI-driven energy solutions. Proficiency in machine learning frameworks (MATLAB), as well as experience in statistical learning, and embedded systems, is required. Familiarity with cost-effective COTS-based environmental monitoring solutions is a plus. The successful candidate must demonstrate the 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 and candidates will be considered until the positions are filled. For consideration, applicants need to submit a cover letter including the names of at least two referees having essential knowledge of the candidate s academic work, a curriculum vitae with a full publication list, a statement of research interests and a 1-2 p statement of purpose, and a transcript, all in PDF format.

If you have any questions, please email Prof. Anthony Tzes [e-mail].

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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