Scientific Machine Learning for Turbulent Reacting Flow Simulations University of Central Florida in United States

Where to contact

Keywords

About this position

Great Ph.d. Opportunity at Dr. Veeraraghava Raju Hasti ‘s lab. Please contact him if you feel this is a good fit for you or someone you recommend.

---

Fully Funded PhD Position in Scientific Machine Learning for Turbulent Reacting Flow Simulations in Energy Systems

The Hasti Lab in the School of Modeling, Simulation, & Training within the UCF College of Engineering & Computer Science at the University of Central Florida , USA, is inviting applications for a fully funded PhD position in scientific machine learning for turbulent reacting flows starting in January 2025 (Spring 2025).

Key Responsibilities:
Develop novel energy-efficient, trustworthy, and adaptive scientific machine learning algorithms for turbulent reacting flows.
Design and implement deep learning-based surrogate modeling frameworks for real-time simulation.
Implement data assimilation and multimodal learning techniques.
Perform validation, verification, and uncertainty quantification.
Leverage GPU-based high-performance computing to enhance the scalability and efficiency of models for complex energy systems.
Publish research findings in top-tier conferences and reputable journals.

Minimum Qualifications:
A Bachelor’s or Master’s degree in mechanical or aerospace engineering, computational science and engineering (CSE), applied mathematics, computational physics, or closely related disciplines.
Strong foundation in Data Science, Artificial Intelligence, Machine Learning, Fluid Dynamics, Turbulence, Combustion, Numerical Methods, and Computational Fluid Dynamics.

Preferred Qualifications:
Familiarity with PINNs, DeepONets, Neural Operators, or similar frameworks.
Hands-on experience with machine learning libraries such as PyTorch or TensorFlow.
Experience with GPU-based computing or high-performance simulation environments.
Excellent communication and scientific writing skills for journal and conference publications.
Strong programming skills in Python, CUDA, C, or C++.
Ability to work independently and collaboratively in a team environment.

What We Offer:
A Graduate Research Assistantship (GRA) with a competitive monthly stipend, tuition waiver, and other benefits as per university policies.
Access to state-of-the-art lab facilities with cutting-edge computational resources, including GPUs.
Opportunities for professional development and participation in impactful research advancing artificial intelligence for science and engineering applications.

How to Apply:
Send your CV along with a cover letter and contact details for 3 references to Prof. Veeraraghava Raju Hasti [ [email protected] ].
Position Start Date: Spring 2025
The position will remain open until filled.

# PhDOpportunity # GraduateResearch # PhDRecruitment # ScientificResearch # AcademicJobs # HigherEducation
# MachineLearning # ArtificialIntelligence # DeepLearning # ScientificMachineLearning # NeuralNetworks # PhysicsInformedAI
# ComputationalFluidDynamics # TurbulentFlows # FluidDynamics
# HighPerformanceComputing # DataScience # NumericalModeling # Simulation

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

Ask ApplyKite AI