GTDT — Systems Engineering (SCIV_ (Bengaluru)

GTDT — Systems Engineering (SCIV_ (Bengaluru)

03 Nov
|
Scivision Center of Excellence Private
|
Bengaluru

03 Nov

Scivision Center of Excellence Private

Bengaluru

SciVision Center of Excellence Pvt. Ltd. · GTDT: Deep-Tech Engineering

Location: Bengaluru (IISc Campus) | Type: Full-time | Experience: 0-3 years | Qualification:

M.Tech. (Aerospace, Mechanical, Thermal or Propulsion); Ph.D. welcome

About Us

SciVision Center of Excellence Pvt. Ltd. is a deep-tech engineering R&D; company on the IISc campus, Bengaluru. We are building a physics-based, AI-enabled digital twin of a gas turbine —

thermodynamics, combustion, 3D CFD and structural analysis, engine controls, life prediction,

physics-informed AI and multidisciplinary optimisation.

The Role

Lead the architecture, integration and validation of a physics-based, AI-enabled Gas Turbine Digital

Twin (GTDT) and build a multidisciplinary team that learns fast and applies what it learns.

What You Will Do

- Own the twin architecture, requirements, interfaces and model-fidelity strategy.
- Integrate thermodynamic, combustion, 3D CFD, 3D structural, controls and AI models into one validated system.
- Lead verification, validation and uncertainty quantification.
- Formulate optimisation and maintenance decisions on the twin.
- Mentor engineers and chair fortnightly technical reviews.

What You Bring

- 0-3 years in gas turbine,



propulsion or rotating-machinery engineering.
- Strong Brayton-cycle and component-matching fundamentals.
- Evidence of integrating models, simulations or test data across disciplines.
- Python or MATLAB; ability to review engineering code and 3D models.
- A record of leading people and learning recent methods.

What You Will Learn

Structured training in digital twins and multidisciplinary design optimisation, with protected learning time and mentoring. Lead the team’s multidisciplinary optimisation and decision-under-uncertainty work on a live twin.

How We Hire

We hire engineers who learn fast and apply what they learn. Selection includes a technical interview,

a short supervised Learn-and-Apply exercise and a practical assessment.

To Apply

Email your CV, with a half-page note on something you learned recently and how you applied it, to [email protected]. Subject: “SCIV_JD-01 — Your Name”.

SciVision selects on competence and evidence of work. We do not discriminate on age, gender,

caste, religion, disability or any other protected characteristic.

📌 GTDT — Systems Engineering (SCIV_ (Bengaluru)
🏢 Scivision Center of Excellence Private
📍 Bengaluru

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