Positions Available

 Ph.D. Position  :  Ph.D.  in Reinforcement Learning (Spring 2025, Department of Aerospace Engineering, Worcester Polytechnic Institute, USA)

 Applications are open!

I'm seeking a self-motivated and passionate PhD candidate on the topic of Reinforcement Learning (RL). Under my mentorship, you'll have the opportunity to dive deep into cutting-edge research, focusing on the following key areas:

• Trustworthy RL techniques

• Reinforcement Learning for Scientific Computations

Applicants should possess a Master’s degree in aerospace/mechanical and related engineering fields, computer science, applied mathematics, or a related field. Exceptionally motivated candidates with a bachelor’s degree and a strong research portfolio are also encouraged to apply. 

Preferred Qualifications:

• Knowledge of probabilistic methods in deep learning.

• Knowledge of deep learning methods, physics-informed neural networks (PINNs), and neural operator networks.

• Familiarity with different deep learning architectures (especially, Reinforcement Learning)

• Proficiency in scientific computing (CFD for high-speed flows with chemistry, turbulent flows, and knowledge of FEM and Spectral Methods).

• Skills in Fortran, C++, Python, and machine learning libraries (JAX (with Equinox), TensorFlow, and PyTorch).

Desired Qualifications:

• Understanding of the HPC environment.

• GPU and parallel programming (MPI, OpenMP, etc.).

• Publication(s) in the reputed journals is a plus.

Send your up-to-date CV with SOP to the email address:  ameya_jagtap@brown.edu