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Postdoctoral Fellow – Computational Heat Transfer & ML Job Vacancy in UAE Abdu Dhabi

Posted date [2025-04-06]   (ID: 34179)
Gulf and UAE company jobs
New York University Abu Dhabi (NYUAD) is a globally recognized institution pioneering a transformative model of higher education. As part of the prestigious NYU global network, NYUAD offers an exceptional liberal arts and sciences education, fostering intercultural understanding and leadership.

Located in the heart of Abu Dhabi, NYUAD is dedicated to groundbreaking research and graduate education, addressing critical local and global challenges through interdisciplinary collaboration. It plays a vital role in shaping a sustainable, knowledge-based economy in the UAE and advancing NYU’s mission as a model university for the 21st century.

NYUAD maintains the highest standards of academic excellence, innovation, and inclusivity, welcoming students and faculty from around the world. The university provides a dynamic environment for learning, research, and professional development in one of the world’s fastest-growing educational and cultural hubs.

For more information on career opportunities at NYU Abu Dhabi, visit the official website: http://nyuad.nyu.edu/en/

You can now provide the first NYU Abu Dhabi job post for improvement....

Postdoctoral Fellow – Computational Heat Transfer & ML

New York University Abu Dhabi’s Division of Engineering is seeking a Postdoctoral Fellow or Research Scientist to join Prof. Sunil Kumar’s research group in a high-impact role focused on computational heat transfer and machine learning for radiative transport in scattering media. This is an exciting opportunity to work on advanced solar energy applications and radiation modeling in a world-class academic environment.

Job Location: Abu Dhabi, United Arab Emirates
Job Industry: Higher Education / Research
Job Function: Energy Research & Engineering
Salary: Competitive with housing and education subsidies
Gender: Any
Candidate Nationality: Any
Candidate Current Location: Any
Job Type: Full-time

What Does a Postdoctoral Fellow in Heat Transfer and ML Do?

This role focuses on the intersection of computational heat transfer, radiative transfer, and machine learning to advance applications in solar photovoltaic (PV) and concentrated solar power (CSP) systems. The selected candidate will develop and apply forward and inverse modeling techniques using machine learning for radiation and fire research, while also contributing to solar energy optimization and object detection systems.

What Are the Key Responsibilities?

- Conduct simulation-based research in computational heat transfer and radiative transport
- Apply machine learning methods to optimize solar PV and CSP systems
- Solve forward and inverse radiation problems in scattering media
- Analyze object detection methods and solar energy applications
- Design, plan, and lead research projects independently
- Co-mentor PhD students and junior researchers in the lab
- Prepare manuscripts for journal and conference publications
- Contribute to interdisciplinary collaboration within the engineering division

What Skills Are Required for a Postdoctoral Researcher in Abu Dhabi?

Education:
- PhD in Mechanical Engineering or a closely related field

Experience:
- Proven research in computational heat transfer and radiation modeling
- Experience with machine learning applications in thermal systems
- Prior work in solar energy systems or fire radiation studies is highly desirable
- Publication record in relevant areas of engineering and energy research

Skills:
- Strong programming and modeling skills (e.g., MATLAB, Python, C++, COMSOL, or similar)
- Knowledge of radiative transfer methods and heat transfer simulations
- Ability to independently lead research while supporting collaborative projects
- Excellent communication, writing, and mentoring abilities

What Benefits Come with This Role?

- Competitive tax-free salary with renewable two-year contract
- Housing and education subsidies for dependents
- Access to state-of-the-art labs and high-performance computing resources
- Opportunity to work in an international and interdisciplinary research environment
- Support for conference travel and academic development
- Possibility of promotion based on performance and funding availability

About the Company

NYU Abu Dhabi (NYUAD) is a globally integrated, research-intensive university offering world-class facilities and a vibrant academic community. The Division of Engineering fosters innovation across diverse disciplines, and Prof. Sunil Kumar’s group is at the forefront of combining computational modeling with real-world energy applications.

NYUAD is part of the NYU Global Network University, enabling academic mobility and collaboration across NYU campuses in New York and Shanghai, and numerous research centers worldwide.

Interested candidates should submit a cover letter, CV with full publication list, research statement, and a list of references (to be contacted if shortlisted), all in PDF format. For inquiries, contact sunil.kumar(at)nyu.edu. Applications are accepted on a rolling basis. The expected start date is January 1, 2025.
Job Title Postdoctoral Fellow – Computational Heat Transfer & ML
Job Description Postdoctoral Fellow – Computational Heat Transfer & ML

New York University Abu Dhabi’s Division of Engineering is seeking a Postdoctoral Fellow or Research Scientist to join Prof. Sunil Kumar’s research group in a high-impact role focused on computational heat transfer and machine learning for radiative transport in scattering media. This is an exciting opportunity to work on advanced solar energy applications and radiation modeling in a world-class academic environment.

Job Location: Abu Dhabi, United Arab Emirates
Job Industry: Higher Education / Research
Job Function: Energy Research & Engineering
Salary: Competitive with housing and education subsidies
Gender: Any
Candidate Nationality: Any
Candidate Current Location: Any
Job Type: Full-time

What Does a Postdoctoral Fellow in Heat Transfer and ML Do?

This role focuses on the intersection of computational heat transfer, radiative transfer, and machine learning to advance applications in solar photovoltaic (PV) and concentrated solar power (CSP) systems. The selected candidate will develop and apply forward and inverse modeling techniques using machine learning for radiation and fire research, while also contributing to solar energy optimization and object detection systems.

What Are the Key Responsibilities?

- Conduct simulation-based research in computational heat transfer and radiative transport
- Apply machine learning methods to optimize solar PV and CSP systems
- Solve forward and inverse radiation problems in scattering media
- Analyze object detection methods and solar energy applications
- Design, plan, and lead research projects independently
- Co-mentor PhD students and junior researchers in the lab
- Prepare manuscripts for journal and conference publications
- Contribute to interdisciplinary collaboration within the engineering division

What Skills Are Required for a Postdoctoral Researcher in Abu Dhabi?

Education:
- PhD in Mechanical Engineering or a closely related field

Experience:
- Proven research in computational heat transfer and radiation modeling
- Experience with machine learning applications in thermal systems
- Prior work in solar energy systems or fire radiation studies is highly desirable
- Publication record in relevant areas of engineering and energy research

Skills:
- Strong programming and modeling skills (e.g., MATLAB, Python, C++, COMSOL, or similar)
- Knowledge of radiative transfer methods and heat transfer simulations
- Ability to independently lead research while supporting collaborative projects
- Excellent communication, writing, and mentoring abilities

What Benefits Come with This Role?

- Competitive tax-free salary with renewable two-year contract
- Housing and education subsidies for dependents
- Access to state-of-the-art labs and high-performance computing resources
- Opportunity to work in an international and interdisciplinary research environment
- Support for conference travel and academic development
- Possibility of promotion based on performance and funding availability

About the Company

NYU Abu Dhabi (NYUAD) is a globally integrated, research-intensive university offering world-class facilities and a vibrant academic community. The Division of Engineering fosters innovation across diverse disciplines, and Prof. Sunil Kumar’s group is at the forefront of combining computational modeling with real-world energy applications.

NYUAD is part of the NYU Global Network University, enabling academic mobility and collaboration across NYU campuses in New York and Shanghai, and numerous research centers worldwide.

Interested candidates should submit a cover letter, CV with full publication list, research statement, and a list of references (to be contacted if shortlisted), all in PDF format. For inquiries, contact sunil.kumar(at)nyu.edu. Applications are accepted on a rolling basis. The expected start date is January 1, 2025.
Post Details
Job Start Date
Salary from 0.00
Salary to 0.00
Number of Vacancies 1
Location Job Location -> UAE Abdu Dhabi
Location City Abu Dhabi, United Arab Emirates
    
Desired Candidate's Profile
Gender No Preference
Nationality
Candidate Current Location
Job Classification
Job Type Job Type -> Full-time
Industry Type Job Industry -> Higher Education
Job Function Job Functions -> Engineering
Employers Details
Company New York University
Contact Person New York University
Designation HR Manager
Telephone 026284141
Email nyuad.career(at)nyu.edu