Bert Labs - Senior Research Scientist/Lead Scientist - First Principles Modelling - Physics

Responsibilities:

- Responsible for developing new features and functionality for the various mechanical and chemical processes.

- Primary responsibility includes mathematical model formulation, implementation on simulation software. This includes but is not limited to developing/maintaining library of process unit operations in steady state, transient & simulation utilities on the tools.

- Responsible for delivering top notch quality product.

- Be part of entire product development life cycle: idea inception, application/feature design, implementation adhering to coding standards, test, and address customer feedback.

- Responsible for interfacing with relevant Internal and external stakeholders throughout development life cycle.

Qualification:

Essential Skills:

- Bachelors and master's in mechanical engineering from premium institute/university with 5-10 years of prior work experience in developing system simulation

- Strong fundamentals in Mechanical Engg - Physics first principles modeling.

- Hands on mathematical formulation of unit operations, Numerical methods for solving these equations and flow sheet wide sequential solver approaches.

- Ability to simplify modelling equations for better model performance.

- Exposure to constrained optimization or non-linear solvers.

- Knowledge and Experience in HVAC System, Utility System like Boilers and Turbine, Heat Exchanger, Pumps, Fans, Compressor, Conveying systems.

- Hands on with 1D simulation tools like GT Suite, MatLab/Simulink, Dymola, .

Preferred Skills:

- Hands on with 3D simulation tools like StarCCM, ANSYS Fluent.

- Team player, ability to augment skills through self-learning and sharing.

- Deep customer empathy and customer-first mind set. Qualitatively relate mathematical model to real time process behavioral pattern.

- Should be proficient in object-oriented programming preferably in C++, Python

- Experience in Machine Learning/Deep Learning models. Experience in statistical time-series analytics and forecasting: quartiles, ETS forecast, Holt-Winters, auto regressive techniques XGBoost, ANN, ARIMA/SARIMA, GARCH, hybrid GARCH-LSTM.