Senior/ Lead Research Scientist - Physics based Modelling

Brief about Bert Labs:

Bert Labs is an International Award Winning, one of the fastest growing AI Innovation Companies in the world. Founded in 2017, Bert Labs is growing at 300% year on year to be USD 1 Billion global revenue by 2027-28. And bringing in Business Transformation impact across industries.

Bert Labs is bringing USD 360 million in energy cost savings and 60 million Tonnes of carbon footprint reduction with 100+ clients in India & globally. And USD 460 million in production cost savings. In the next 4 years, our platform will bring in USD 1.6 billion in energy cost savings and 260 million Tonnes of carbon footprint reduction with 600+ clients. And production cost savings of USD 2 billion. This will lead to USD 1 Billion revenues by FY 2027-28 end for an IPO.

At Bert Labs, we are leading ClimateTech as we tackle complex challenges through Bert Geminus- First Principles, powered by Deep Neural Network Operational Digital Twins prediction, and Bert Optimus- Reinforcement Learning optimization. These are facilitated by Bert Nova Multi-Tenant Distributed Computing, Bert Maximus IoT Devices, and Bert Qrious IoT-powered Wireless Sensor Network, all part of the Bert Platform Solution-, driving Business Transformation Goals on Sustainability, Energy Efficiency Improvement, Net Zero, and Production.

We consistently innovate, filing 4-5 patents monthly, totalling 50-60 patents annually across various regions. Anticipating accelerated innovation, we aim to file 100 patents per year in FY 2025-26, 150 patents in FY 2026-27, and a remarkable 400 patents in FY 2027-28.

At Bert Labs we believe in challenging the status quo every day. We do this with the power of diversity, inclusion, and collaboration. By connecting different perspectives, we can imagine new possibilities, inspire innovation, and release the full potential of our people. Our employee experience includes appreciation, belonging, growth, and purpose for everyone. We are committed to a diverse and inclusive workplace. At Bert Labs, we are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

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, AmeSim, 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.